Associate-Cloud-Engineer Questions and Answers

Question # 6

You are in charge of provisioning access for all Google Cloud users in your organization. Your company recently acquired a startup company that has their own Google Cloud organization. You need to ensure that your Site Reliability Engineers (SREs) have the same project permissions in the startup company's organization as in your own organization. What should you do?

In the Google Cloud console for your organization, select Create role from selection, and choose destination as the startup company's organization

In the Google Cloud console for the startup company, select Create role from selection and choose source as the startup company's Google Cloud organization.

Use the gcloud iam roles copy command, and provide the Organization ID of the startup company'sGoogle Cloud Organization as the destination.

Use the gcloud iam roles copy command, and provide the project IDs of all projects in the startup company s organization as the destination.

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Question # 7

Your company developed an application to deploy on Google Kubernetes Engine. Certain parts of the application are not fault-tolerant and are allowed to have downtime Other parts of the application are critical and must always be available. You need to configure a Goorj e Kubernfl:es Engine duster while optimizing for cost. What should you do?

Create a cluster with a single node-pool by using standard VMs. Label the fault-tolerant Deployments as spot-true.

Create a cluster with a single node-pool by using Spot VMs. Label the critical Deployments as spot-false.

Create a cluster with both a Spot W node pool and a rode pool by using standard VMs Deploy the critical.deployments on the Spot VM node pool and the fault; tolerant deployments on the node pool by using standard VMs.

Create a cluster with both a Spot VM node pool and by using standard VMs. Deploy the critical deployments on the mode pool by using standard VMs and the fault-tolerant deployments on the Spot VM node pool.

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Question # 8

You have successfully created a development environment in a project for an application. This application uses Compute Engine and Cloud SQL. Now, you need to create a production environment for this application.

The security team has forbidden the existence of network routes between these 2 environments, and asks you to follow Google-recommended practices. What should you do?

Create a new project, enable the Compute Engine and Cloud SQL APIs in that project, and replicate the setup you have created in the development environment.

Create a new production subnet in the existing VPC and a new production Cloud SQL instance in your existing project, and deploy your application using those resources.

Create a new project, modify your existing VPC to be a Shared VPC, share that VPC with your new project, and replicate the setup you have in the development environment in that new project, in the Shared VPC.

Ask the security team to grant you the Project Editor role in an existing production project used by another division of your company. Once they grant you that role, replicate the setup you have in the development environment in that project.

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Question # 9

Your organization has three existing Google Cloud projects. You need to bill the Marketing department for only their Google Cloud services for a new initiative within their group. What should you do?

1. Verify that you ace assigned the Billing Administrator IAM role tor your organization's Google Cloud Project for the Marketing department2. Link the new project to a Marketing Billing Account

1. Verify that you are assigned the Billing Administrator IAM role for your organization's Google Cloud account2. Create a new Google Cloud Project for the Marketing department3. Set the default key-value project labels to department marketing for all services in this project

1. Verify that you are assigned the Organization Administrator IAM role for your organization's Google Cloud account2. Create a new Google Cloud Project for the Marketing department 3. Link the new project to a Marketing Billing Account.

1. Verity that you are assigned the Organization Administrator IAM role for your organization's Google Cloud account2. Create a new Google Cloud Project for the Marketing department3. Set the default key value project labels to department marketing for all services in this protect

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Question # 10

Several employees at your company have been creating projects with Cloud Platform and paying for it with their personal credit cards, which the company reimburses. The company wants to centralize all these projects under a single, new billing account. What should you do?

Contact cloud-billing@google.com with your bank account details and request a corporate billing account for your company.

Create a ticket with Google Support and wait for their call to share your credit card details over the phone.

In the Google Platform Console, go to the Resource Manage and move all projects to the root Organization.

In the Google Cloud Platform Console, create a new billing account and set up a payment method.

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Question # 11

You have been asked to set up Object Lifecycle Management for objects stored in storage buckets. The objects are written once and accessed frequently for 30 days. After 30 days, the objects are not read again unless there is a special need. The object should be kept for three years, and you need to minimize cost. What should you do?

Set up a policy that uses Nearline storage for 30 days and then moves to Archive storage for three years.

Set up a policy that uses Standard storage for 30 days and then moves to Archive storage for three years.

Set up a policy that uses Nearline storage for 30 days, then moves the Coldline for one year, and then moves to Archive storage for two years.

Set up a policy that uses Standard storage for 30 days, then moves to Coldline for one year, and then moves to Archive storage for two years.

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Question # 12

You are using Container Registry to centrally store your company’s container images in a separate project. In another project, you want to create a Google Kubernetes Engine (GKE) cluster. You want to ensure that Kubernetes can download images from Container Registry. What should you do?

In the project where the images are stored, grant the Storage Object Viewer IAM role to the service account used by the Kubernetes nodes.

When you create the GKE cluster, choose the Allow full access to all Cloud APIs option under ‘Access scopes’.

Create a service account, and give it access to Cloud Storage. Create a P12 key for this service account and use it as an imagePullSecrets in Kubernetes.

Configure the ACLs on each image in Cloud Storage to give read-only access to the default Compute Engine service account.

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Question # 13

You have 32 GB of data in a single file that you need to upload to a Nearline Storage bucket. The WAN connection you are using is rated at 1 Gbps, and you are the only one on the connection. You want to use as much of the rated 1 Gbps as possible to transfer the file rapidly. How should you upload the file?

Use the GCP Console to transfer the file instead of gsutil.

Enable parallel composite uploads using gsutil on the file transfer.

Decrease the TCP window size on the machine initiating the transfer.

Change the storage class of the bucket from Nearline to Multi-Regional.

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Question # 14

You have an application on a general-purpose Compute Engine instance that is experiencing excessive disk read throttling on its Zonal SSD Persistent Disk. The application primarily reads large files from disk. The disk size is currently 350 GB. You want to provide the maximum amount of throughput while minimizing costs. What should you do?

Increase the size of the disk to 1 TB.

Increase the allocated CPU to the instance.

Migrate to use a Local SSD on the instance.

Migrate to use a Regional SSD on the instance.

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Question # 15

You created an instance of SQL Server 2017 on Compute Engine to test features in the new version. You want to connect to this instance using the fewest number of steps. What should you do?

Install a RDP client on your desktop. Verify that a firewall rule for port 3389 exists.

Install a RDP client in your desktop. Set a Windows username and password in the GCP Console. Use the credentials to log in to the instance.

Set a Windows password in the GCP Console. Verify that a firewall rule for port 22 exists. Click the RDP button in the GCP Console and supply the credentials to log in.

Set a Windows username and password in the GCP Console. Verify that a firewall rule for port 3389 exists. Click the RDP button in the GCP Console, and supply the credentials to log in.

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Question # 16

You have a Linux VM that must connect to Cloud SQL. You created a service account with the appropriate access rights. You want to make sure that the VM uses this service account instead of the default Compute Engine service account. What should you do?

When creating the VM via the web console, specify the service account under the ‘Identity and API Access’ section.

Download a JSON Private Key for the service account. On the Project Metadata, add that JSON as the value for the key compute-engine-service-account.

Download a JSON Private Key for the service account. On the Custom Metadata of the VM, add that JSON as the value for the key compute-engine-service-account.

Download a JSON Private Key for the service account. After creating the VM, ssh into the VM and save the JSON under ~/.gcloud/compute-engine-service-account.json.

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Question # 17

(You manage a VPC network in Google Cloud with a subnet that is rapidly approaching its private IP address capacity. You expect the number of Compute Engine VM instances in the same region to double within a week. You need to implement a Google-recommended solution that minimizes operational costs and does not require downtime. What should you do?)

Create a second VPC with the same subnet IP range, and connect this VPC to the existing VPC by using VPC Network Peering.

Delete the existing subnet, and create a new subnet with double the IP range available.

Use the Google Cloud CLI tool to expand the primary IP range of your subnet.

Permit additional traffic from the expected range of private IP addresses to reach your VMs by configuring firewall rules.

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Answer:

Explanation:

Comprehensive and Detailed In Depth Explanation:

The problem states that a subnet is nearing its IP address capacity, and the requirement is to expand it without downtime and with minimal operational cost, following Google-recommended practices.

A. Creating a second VPC with the same subnet IP range and peering: While VPC Network Peering allows communication between VPCs, having overlapping IP ranges is generally not recommended and can lead to routing complexities if not managed carefully. It also adds operational overhead of managing two VPCs. This is not the most straightforward or cost-effective solution for simply expanding IP capacity within the same logical network.

B. Deleting and recreating the subnet: Deleting a subnet that contains active VM instances will cause downtime for those instances, violating a key requirement.

C. Using the Google Cloud CLI tool to expand the primary IP range of your subnet: Google Cloud allows you to expand the primary IP range of an existing subnet after it's created, as long as there are no conflicting subnets in the VPC. This operation does not require deleting the subnet or restarting the existing VMs within it, thus avoiding downtime. It's a direct and cost-effective way to increase the available IP address space within the existing subnet. This is a Google-recommended practice for handling subnet capacity issues.

D. Permitting additional traffic with firewall rules: Firewall rules control network traffic based on IP ranges, protocols, and ports. They do not increase the number of available private IP addresses within the subnet. This option does not address the core issue of IP address exhaustion.

Therefore, expanding the primary IP range of the existing subnet using the Google Cloud CLI is the recommended solution that meets all the requirements: addressing IP capacity, minimizing operational costs, and avoiding downtime.

Google Cloud Documentation References:

Expanding Subnet IP Ranges: https://cloud.google.com/vpc/docs/expand-subnet - This documentation explicitly describes how to expand the IP range of an existing subnet without downtime. It outlines the prerequisites and steps involved using the gcloud CLI or the Google Cloud Console.

VPC Network Overview: https://cloud.google.com/vpc/docs/vpc - Provides context on subnet IP ranges and their management.

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Question # 18

You are building an application that stores relational data from users. Users across the globe will use this application. Your CTO is concerned about the scaling requirements because the size of the user base is unknown. You need to implement a database solution that can scale with your user growth with minimum configuration changes. Which storage solution should you use?

Cloud SQL

Cloud Spanner

Cloud Firestore

Cloud Datastore

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Question # 19

You need to reduce GCP service costs for a division of your company using the fewest possible steps. You need to turn off all configured services in an existing GCP project. What should you do?

1. Verify that you are assigned the Project Owners IAM role for this project.2. Locate the project in the GCP console, click Shut down and then enter the project ID.

1. Verify that you are assigned the Project Owners IAM role for this project.2. Switch to the project in the GCP console, locate the resources and delete them.

1. Verify that you are assigned the Organizational Administrator IAM role for this project.2. Locate the project in the GCP console, enter the project ID and then click Shut down.

1. Verify that you are assigned the Organizational Administrators IAM role for this project.2. Switch to the project in the GCP console, locate the resources and delete them.

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Question # 20

You have a virtual machine that is currently configured with 2 vCPUs and 4 GB of memory. It is running out of memory. You want to upgrade the virtual machine to have 8 GB of memory. What should you do?

Rely on live migration to move the workload to a machine with more memory.

Use gcloud to add metadata to the VM. Set the key to required-memory-size and the value to 8 GB.

Stop the VM, change the machine type to n1-standard-8, and start the VM.

Stop the VM, increase the memory to 8 GB, and start the VM.

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Question # 21

You are performing a monthly security check of your Google Cloud environment and want to know who has access to view data stored in your Google Cloud

Project. What should you do?

Enable Audit Logs for all APIs that are related to data storage.

Review the IAM permissions for any role that allows for data access.

Review the Identity-Aware Proxy settings for each resource.

Create a Data Loss Prevention job.

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Question # 22

You are the organization and billing administrator for your company. The engineering team has the Project Creator role on the organization. You do not want the engineering team to be able to link projects to the billing account. Only the finance team should be able to link a project to a billing account, but they should not be able to make any other changes to projects. What should you do?

Assign the finance team only the Billing Account User role on the billing account.

Assign the engineering team only the Billing Account User role on the billing account.

Assign the finance team the Billing Account User role on the billing account and the Project Billing Manager role on the organization.

Assign the engineering team the Billing Account User role on the billing account and the Project Billing Manager role on the organization.

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Question # 23

You have two subnets (subnet-a and subnet-b) in the default VPC. Your database servers are running in subnet-a. Your application servers and web servers are running in subnet-b. You want to configure a firewall rule that only allows database traffic from the application servers to the database servers. What should you do?

* Create service accounts sa-app and sa-db.• Associate service account: sa-app with the application servers and the service account sa-db with the database servers.• Create an ingress firewall rule to allow network traffic from source service account sa-app to target service account sa-db.

• Create network tags app-server and db-server.• Add the app-server lag lo the application servers and the db-server lag to the database servers.• Create an egress firewall rule to allow network traffic from source network tag app-server to target network tag db-server.

* Create a service account sa-app and a network tag db-server.* Associate the service account sa-app with the application servers and the network tag db-server withthe database servers.• Create an ingress firewall rule to allow network traffic from source VPC IP addresses and target the subnet-a IP addresses.

• Create a network lag app-server and service account sa-db.• Add the tag to the application servers and associate the service account with the database servers.• Create an egress firewall rule to allow network traffic from source network tag app-server to target service account sa-db.

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Question # 24

You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?

Use kubectl app deploy .

Use gcloud app deploy .

Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.

Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.

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Question # 25

Your company plans to migrate its on-premises PostgreSQL database to Google Cloud. The workloads are demanding, requiring fast transactional and analytical performance. You need to select a fully managed database service on Google Cloud. Your solution must also be able to synchronously replicate and optimize the storage layer. What should you do?

Use the psql client installed on a Compute Engine Instance. Connect to the Cloud SQL instance to perform the database migration.

Migrate the database to AlloyDB for PostgreSQL by using Database Migration Service.

Migrate the database to Cloud SQL for PostgreSQL by using Database Migration Service.

Create a Compute Engine instance. Install and configure PostgreSQL on the instance, and migrate the database.

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Question # 26

You need to create an autoscaling managed instance group for an HTTPS web application. You want to make sure that unhealthy VMs are recreated. What should you do?

Create a health check on port 443 and use that when creating the Managed Instance Group.

Select Multi-Zone instead of Single-Zone when creating the Managed Instance Group.

In the Instance Template, add the label ‘health-check’.

In the Instance Template, add a startup script that sends a heartbeat to the metadata server.

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Question # 27

You are monitoring an application and receive user feedback that a specific error is spiking. You notice that the error is caused by a Service Account having insufficient permissions. You are able to solve the problem but want to be notified if the problem recurs. What should you do?

In the Log Viewer, filter the logs on severity 'Error' and the name of the Service Account.

Create a sink to BigQuery to export all the logs. Create a Data Studio dashboard on the exported logs.

Create a custom log-based metric for the specific error to be used in an Alerting Policy.

Grant Project Owner access to the Service Account.

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Question # 28

You want to run a single caching HTTP reverse proxy on GCP for a latency-sensitive website. This specific reverse proxy consumes almost no CPU. You want to have a 30-GB in-memory cache, and need an additional 2 GB of memory for the rest of the processes. You want to minimize cost. How should you run this reverse proxy?

Create a Cloud Memorystore for Redis instance with 32-GB capacity.

Run it on Compute Engine, and choose a custom instance type with 6 vCPUs and 32 GB of memory.

Package it in a container image, and run it on Kubernetes Engine, using n1-standard-32 instances as nodes.

Run it on Compute Engine, choose the instance type n1-standard-1, and add an SSD persistent disk of 32 GB.

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Question # 29

(You need to migrate multiple PostgreSQL databases from your on-premises data center to Google Cloud. You want to significantly improve the performance of your databases while minimizing changes to your data schema and application code. You expect to exceed 150 TB of data per geographical region. You want to follow Google-recommended practices and minimize your operational costs. What should you do?)

Migrate your data to AlloyDB.

Migrate your data to Spanner.

Migrate your data to Firebase.

Migrate your data to Bigtable.

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Answer:

Explanation:

Let's analyze each option based on the requirements: PostgreSQL compatibility, significant performance improvement, minimal schema/code changes, handling large data volumes, Google-recommended practices, and cost minimization:

A. Migrate your data to AlloyDB: AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service that offers significant performance improvements over standard PostgreSQL due to its architectural optimizations. It is designed to handle large data volumes and minimizes the need for schema and application code changes as it's wire-compatible with PostgreSQL. This aligns well with the requirements for performance improvement, minimal changes, large data, and being a Google-recommended option for PostgreSQL workloads.

B. Migrate your data to Spanner: Spanner is a globally distributed, horizontally scalable database with strong consistency. While it offers excellent scalability and performance, it's not directly PostgreSQL-compatible. Migrating to Spanner would likely require significant schema and application code changes due to differences in data modeling and SQL dialect.

C. Migrate your data to Firebase: Firebase is a suite of mobile and web development tools, with its primary database offering being Firestore (a NoSQL document database) and Realtime Database. These are not PostgreSQL-compatible and would require substantial changes to the data model and application code.

D. Migrate your data to Bigtable: Bigtable is a highly scalable NoSQL wide-column store. It's not compatible with PostgreSQL and requires a completely different data model and application logic.

Therefore, AlloyDB is the most suitable option as it provides PostgreSQL compatibility for minimal migration effort, significant performance improvements, scalability for large data volumes, and is a recommended Google Cloud database service for PostgreSQL workloads.

Google Cloud Documentation References:

AlloyDB for PostgreSQL Overview: https://cloud.google.com/alloydb/docs/overview - This document highlights AlloyDB 's PostgreSQL compatibility, performance benefits, scalability, and suitability for migrating existing PostgreSQL workloads.

Spanner Overview: https://cloud.google.com/spanner/docs/overview - This emphasizes Spanner 's unique features and differences from traditional relational databases like PostgreSQL.

Firebase Documentation: https://firebase.google.com/docs - This outlines the features of Firebase, including Firestore and Realtime Database, highlighting their NoSQL nature and incompatibility with PostgreSQL.

Cloud Bigtable Overview: https://cloud.google.com/bigtable/docs/overview - This describes Bigtable as a NoSQL database, emphasizing its differences from relational databases like PostgreSQL.

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Question # 30

(Your company uses a multi-cloud strategy that includes Google Cloud. You want to centralize application logs in a third-party software-as-a-service (SaaS) tool from all environments. You need tointegrate logs originating from Cloud Logging, and you want to ensure the export occurs with the least amount of delay possible. What should you do?)

Use a Cloud Scheduler cron job to trigger a Cloud Function that queries Cloud Logging and sends the logs to the SaaS tool.

Create a Cloud Logging sink and configure Pub/Sub as the destination. Configure the SaaS tool to subscribe to the Pub/Sub topic to retrieve the logs.

Create a Cloud Logging sink and configure Cloud Storage as the destination. Configure the SaaS tool to read the Cloud Storage bucket to retrieve the logs.

Create a Cloud Logging sink and configure BigQuery as the destination. Configure the SaaS tool to query BigQuery to retrieve the logs.

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Answer:

Explanation:

Comprehensive and Detailed In Depth Explanation:

The requirement is to export logs from Cloud Logging to a third-party SaaS tool with the least amount of delay possible. Let's analyze each option:

A. Cloud Scheduler, Cloud Function, and querying Cloud Logging: This approach introduces a delay based on the Cloud Scheduler's cron job frequency. The Cloud Function would periodically query Cloud Logging, which might not capture the logs in real-time. This does not meet the "least amount of delay possible" requirement.

B. Cloud Logging sink to Pub/Sub, SaaS tool subscribing to Pub/Sub: Cloud Logging sinks can be configured to export logs in near real-time as they are ingested into Cloud Logging. Pub/Sub is a messaging service designed for asynchronous and near real-time message delivery. By configuring the sink to send logs to a Pub/Sub topic, and having the SaaS tool subscribe to this topic, logs can be delivered to the SaaS tool with minimal delay. This aligns with the requirement for immediate export.

C. Cloud Logging sink to Cloud Storage, SaaS tool reading Cloud Storage: Exporting logs to Cloud Storage involves a batch-oriented approach. Logs are typically written to files periodically. The SaaS tool would then need to poll or be configured to read these files, introducing a significant delay compared to a streaming approach.

D. Cloud Logging sink to BigQuery, SaaS tool querying BigQuery: Similar to Cloud Storage, exporting to BigQuery is more suitable for analytical purposes. The SaaS tool would need to periodically queryBigQuery, which introduces latency and is not the most efficient way to achieve near real-time log delivery.

Therefore, configuring a Cloud Logging sink to Pub/Sub and having the SaaS tool subscribe to the Pub/Sub topic provides the lowest latency for exporting logs.

Google Cloud Documentation References:

Cloud Logging Sinks Overview: https://cloud.google.com/logging/docs/export/configure_export_v2 - This document explains how to create and manage Cloud Logging sinks, including the available destinations.

Pub/Sub Overview: https://cloud.google.com/pubsub/docs/overview - This highlights Pub/Sub 's capabilities for real-time message delivery and its use cases in streaming data.

Exporting Logs with Cloud Logging: https://cloud.google.com/logging/docs/export - This provides a comprehensive guide to exporting logs from Cloud Logging to various destinations, emphasizing Pub/Sub for streaming.

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Question # 31

Your company is moving its continuous integration and delivery (CI/CD) pipeline to Compute Engine instances. The pipeline will manage the entire cloud infrastructure through code. How can you ensure that the pipeline has appropriate permissions while your system is following security best practices?

• Add a step for human approval to the CI/CD pipeline before the execution of the infrastructureprovisioning.• Use the human approvals IAM account for the provisioning.

• Attach a single service account to the compute instances.• Add minimal rights to the service account.• Allow the service account to impersonate a Cloud Identity user with elevated permissions to create, update, or delete resources.

• Attach a single service account to the compute instances.• Add all required Identity and Access Management (IAM) permissions to this service account to create, update, or delete resources

• Create multiple service accounts, one for each pipeline with the appropriate minimal Identity andAccess Management (IAM) permissions.• Use a secret manager service to store the key files of the service accounts.• Allow the CI/CD pipeline to request the appropriate secrets during the execution of the pipeline.

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Question # 32

Your company has a large quantity of unstructured data in different file formats. You want to perform ETL transformations on the data. You need to make the data accessible on Google Cloud so it can be processed by a Dataflow job. What should you do?

Upload the data to BigQuery using the bq command line tool.

Upload the data to Cloud Storage using the gsutil command line tool.

Upload the data into Cloud SQL using the import function in the console.

Upload the data into Cloud Spanner using the import function in the console.

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Question # 33

You need to verify that a Google Cloud Platform service account was created at a particular time. What should you do?

Filter the Activity log to view the Configuration category. Filter the Resource type to Service Account.

Filter the Activity log to view the Configuration category. Filter the Resource type to Google Project.

Filter the Activity log to view the Data Access category. Filter the Resource type to Service Account.

Filter the Activity log to view the Data Access category. Filter the Resource type to Google Project.

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Question # 34

You have an application running in Google Kubernetes Engine (GKE) with cluster autoscaling enabled. The application exposes a TCP endpoint. There are several replicas of this application. You have a Compute Engine instance in the same region, but in another Virtual Private Cloud (VPC), called gce-network, that has no overlapping IP ranges with the first VPC. This instance needs to connect to the application on GKE. You want to minimize effort. What should you do?

1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Set the service's externalTrafficPolicy to Cluster.3. Configure the Compute Engine instance to use the address of the load balancer that has been created.

1. In GKE, create a Service of type NodePort that uses the application's Pods as backend.2. Create a Compute Engine instance called proxy with 2 network interfaces, one in each VPC.3. Use iptables on this instance to forward traffic from gce-network to the GKE nodes.4. Configure the Compute Engine instance to use the address of proxy in gce-network as endpoint.

1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Add an annotation to this service: cloud.google.com/load-balancer-type: Internal3. Peer the two VPCs together.4. Configure the Compute Engine instance to use the address of the load balancer that has been created.

1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Add a Cloud Armor Security Policy to the load balancer that whitelists the internal IPs of the MIG's instances.3. Configure the Compute Engine instance to use the address of the load balancer that has been created.

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Question # 35

You have a development project with appropriate IAM roles defined. You are creating a production project and want to have the same IAM roles on the new project, using the fewest possible steps. What should you do?

Use gcloud iam roles copy and specify the production project as the destination project.

Use gcloud iam roles copy and specify your organization as the destination organization.

In the Google Cloud Platform Console, use the ‘create role from role’ functionality.

In the Google Cloud Platform Console, use the ‘create role’ functionality and select all applicable permissions.

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Question # 36

Your company has embraced a hybrid cloud strategy where some of the applications are deployed on Google Cloud. A Virtual Private Network (VPN) tunnel connects your Virtual Private Cloud (VPC) in Google Cloud with your company's on-premises network. Multiple applications in Google Cloud need to connect to an on-premises database server, and you want to avoid having to change the IP configuration in all of your applications when the IP of the database changes.

What should you do?

Configure Cloud NAT for all subnets of your VPC to be used when egressing from the VM instances.

Create a private zone on Cloud DNS, and configure the applications with the DNS name.

Configure the IP of the database as custom metadata for each instance, and query the metadata server.

Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.

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Question # 37

Your development team needs a new Jenkins server for their project. You need to deploy the server using the fewest steps possible. What should you do?

Download and deploy the Jenkins Java WAR to App Engine Standard.

Create a new Compute Engine instance and install Jenkins through the command line interface.

Create a Kubernetes cluster on Compute Engine and create a deployment with the Jenkins Docker image.

Use GCP Marketplace to launch the Jenkins solution.

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Question # 38

Your projects incurred more costs than you expected last month. Your research reveals that a development GKE container emitted a huge number of logs, which resulted in higher costs. You want to disable the logs quickly using the minimum number of steps. What should you do?

1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE container resource.

1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE Cluster Operations resource.

1. Go to the GKE console, and delete existing clusters.2. Recreate a new cluster.3. Clear the option to enable legacy Stackdriver Logging.

1. Go to the GKE console, and delete existing clusters.2. Recreate a new cluster.3. Clear the option to enable legacy Stackdriver Monitoring.

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Question # 39

You want to add a new auditor to a Google Cloud Platform project. The auditor should be allowed to read, but not modify, all project items.

How should you configure the auditor's permissions?

Create a custom role with view-only project permissions. Add the user's account to the custom role.

Create a custom role with view-only service permissions. Add the user's account to the custom role.

Select the built-in IAM project Viewer role. Add the user's account to this role.

Select the built-in IAM service Viewer role. Add the user's account to this role.

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Question # 40

Every employee of your company has a Google account. Your operational team needs to manage a large number of instances on Compute Engine. Each member of this team needs only administrative access to the servers. Your security team wants to ensure that the deployment of credentials is operationally efficient and must be able to determine who accessed a given instance. What should you do?

Generate a new SSH key pair. Give the private key to each member of your team. Configure the public key in the metadata of each instance.

Ask each member of the team to generate a new SSH key pair and to send you their public key. Use a configuration management tool to deploy those keys on each instance.

Ask each member of the team to generate a new SSH key pair and to add the public key to their Google account. Grant the “compute.osAdminLogin” role to the Google group corresponding to this team.

Generate a new SSH key pair. Give the private key to each member of your team. Configure the public key as a project-wide public SSH key in your Cloud Platform project and allow project-wide public SSH keys on each instance.

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Question # 41

(Your company has a rapidly growing social media platform and a user base primarily located in North America. Due to increasing demand, your current on-premises PostgreSQL database, hosted in your United States headquarters data center, no longer meets your needs. You need to identify a cloud-based database solution that offers automatic scaling, multi-region support for future expansion, and maintains low latency.)

Use Bigtable.

Use BigQuery.

Use Spanner.

Use Cloud SQL for PostgreSQL.

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Answer:

Explanation:

Comprehensive and Detailed In Depth Explanation:

Let's evaluate each database option against the requirements: automatic scaling, multi-region support, and low latency for a growing social media platform:

A. Bigtable: Bigtable is a highly scalable NoSQL database designed for large analytical and operational workloads with low latency. It offers excellent horizontal scalability and can be deployed across multiple regions for high availability and lower latency for a global user base. However, it's a NoSQL database and might require significant changes to your existing PostgreSQL data model and application code.

B. BigQuery: BigQuery is a fully managed, serverless data warehouse optimized for analytical queries on large datasets. It's not designed for low-latency transactional workloads that a social media platformwould require for real-time user interactions. While it's globally available, its primary use case is not operational database needs.

C. Spanner: Spanner is a globally distributed, horizontally scalable relational database service with strong consistency. It offers automatic scaling, built-in multi-region and multi-continental configurations for high availability and low latency across a global user base, and supports standard SQL (with some extensions). This makes it a strong candidate for a rapidly growing platform needing scalability, global presence, and low latency. While it's not directly PostgreSQL, it offers a relational model and tools to aid migration.

D. Cloud SQL for PostgreSQL: Cloud SQL offers managed PostgreSQL instances with automatic scaling capabilities. It supports high availability within a region and cross-region read replicas for disaster recovery and read scaling. However, its multi-region capabilities for write operations and automatic scaling across regions are more limited compared to Spanner. For a rapidly growing platform with a primarily North American user base but future global expansion in mind and a need for low latency, Spanner's architecture is better suited for true multi-region write capabilities and consistent low latency globally.

Considering the requirements for automatic scaling, multi-region support for both reads and writes with low latency for a growing user base, Spanner is the most appropriate choice.

Google Cloud Documentation References:

Cloud Spanner Overview: https://cloud.google.com/spanner/docs/overview - This document highlights Spanner 's global scalability, strong consistency, and multi-region capabilities.

Cloud Bigtable Overview: https://cloud.google.com/bigtable/docs/overview - While scalable and low-latency, it 's a NoSQL database, which might require significant application changes.

BigQuery Overview: https://cloud.google.com/bigquery/docs/introduction - Focuses on analytics, not low-latency transactional workloads.

Cloud SQL for PostgreSQL Overview: https://cloud.google.com/sql/docs/postgres/overview - While it offers scaling and regional HA, its multi-region write capabilities are not as robust as Spanner 's.

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Question # 42

You assist different engineering teams in deploying their infrastructure on Google Cloud. Your company has defined certain practices required for all workloads. You need to provide the engineering teams with a solution that enables teams to deploy their infrastructure independently without having to know all implementation details of the company's required practices. What should you do?

Create a service account per team, and grant the service account the Project Editor role. Ask the teams to provision their infrastructure through the Google Cloud CLI (gcloud CLI), while impersonating their dedicated service account.

Provide training for all engineering teams you work with to understand the company’s required practices. Allow the engineering teams to provision the infrastructure to best meet their needs.

Configure organization policies to enforce your company’s required practices. Ask the teams to provision their infrastructure by using the Google Cloud console.

Write Terraform modules for each component that are compliant with the company’s required practices, and ask teams to implement their infrastructure through these modules.

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Answer:

Explanation:

The goal is to enable teams to deploy infrastructure independently while ensuring compliance with company practices, without requiring teams to understand the underlying details of those practices.

Option A provides deployment capability but doesn't enforce practices. The Editor role is overly broad, and using the gcloud CLI directly requires knowledge of how to configure resources compliantly.

Option B requires teams to learn all the practices, contradicting the requirement that they don't need to know the implementation details.

Option C (Organization Policies) is useful for setting constraints (e.g., disallowing public IPs, restricting regions), but it doesn't provide pre-configured, deployable components that embody best practices. Teams still need to figure out how to build compliant resources within the policy constraints.

Option D (Terraform Modules): This approach encapsulates the company's required practices within reusable infrastructure-as-code modules. Engineering teams can then use these modules as building blocks, providing only the necessary input parameters (like application name orsize). The module handles the compliant implementation details internally. This allows teams to deploy independently and ensures compliance without needing deep knowledge of every practice.

Using standardized, compliant modules is a common pattern for enabling self-service infrastructure deployment while maintaining standards and governance.

[References:, , Terraform Modules: "Modules are containers for multiple resources that are used together... Modules allow complex resources to be abstracted away behind a clean interface." - https://developer.hashicorp.com/terraform/language/modules, Google Cloud Architecture Framework - Security, privacy, and compliance: Recommends using IaC and pre-approved templates/modules to enforce security configurations. - https://cloud.google.com/architecture/framework/security-privacy-compliance/define-and-enforce-security-configurations, Organization Policy Service: "The Organization Policy Service gives you centralized and programmatic control over your organization's cloud resources... define constraints..." (Focuses on constraints, not providing deployable components). - https://cloud.google.com/resource-manager/docs/organization-policy/overview , , , , ]

Question # 43

Your web application has been running successfully on Cloud Run for Anthos. You want to evaluate an updated version of the application with a specific percentage of your production users (canary deployment). What should you do?

Create a new service with the new version of the application. Split traffic between this version and the version that is currently running.

Create a new revision with the new version of the application. Split traffic between this version and the version that is currently running.

Create a new service with the new version of the application. Add an HTTP Load Balancer in front of both services.

Create a new revision with the new version of the application. Add an HTTP Load Balancer in front of both revisions.

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Question # 44

You are the project owner of a GCP project and want to delegate control to colleagues to manage buckets and files in Cloud Storage. You want to follow Google-recommended practices. Which IAM roles should you grant your colleagues?

Project Editor

Storage Admin

Storage Object Admin

Storage Object Creator

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Question # 45

You have a workload running on Compute Engine that is critical to your business. You want to ensure that the data on the boot disk of this workload is backed up regularly. You need to be able to restore a backup as quickly as possible in case of disaster. You also want older backups to be cleaned automatically to save on cost. You want to follow Google-recommended practices. What should you do?

Create a Cloud Function to create an instance template.

Create a snapshot schedule for the disk using the desired interval.

Create a cron job to create a new disk from the disk using gcloud.

Create a Cloud Task to create an image and export it to Cloud Storage.

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Question # 46

You want to set up a Google Kubernetes Engine cluster Verifiable node identity and integrity are required for the cluster, and nodes cannot be accessed from the internet. You want to reduce the operational cost of managing your cluster, and you want to follow Google-recommended practices. What should you do?

Deploy a private autopilot cluster

Deploy a public autopilot cluster.

Deploy a standard public cluster and enable shielded nodes.

Deploy a standard private cluster and enable shielded nodes.

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Question # 47

You are about to deploy a new Enterprise Resource Planning (ERP) system on Google Cloud. The application holds the full database in-memory for fast data access, and you need to configure the most appropriate resources on Google Cloud for this application. What should you do?

Provision preemptible Compute Engine instances.

Provision Compute Engine instances with GPUs attached.

Provision Compute Engine instances with local SSDs attached.

Provision Compute Engine instances with M1 machine type.

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Question # 48

Your organization has strict requirements to control access to Google Cloud projects. You need to enable your Site Reliability Engineers (SREs) to approve requests from the Google Cloud support team when an SRE opens a support case. You want to follow Google-recommended practices. What should you do?

Add your SREs to roles/iam.roleAdmin role.

Add your SREs to roles/accessapproval approver role.

Add your SREs to a group and then add this group to roles/iam roleAdmin role.

Add your SREs to a group and then add this group to roles/accessapproval approver role.

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Question # 49

Your company uses a large number of Google Cloud services centralized in a single project. All teams have specific projects for testing and development. The DevOps team needs access to all of theproduction services in order to perform their job. You want to prevent Google Cloud product changes from broadening their permissions in the future. You want to follow Google-recommended practices. What should you do?

Grant all members of the DevOps team the role of Project Editor on the organization level.

Grant all members of the DevOps team the role of Project Editor on the production project.

Create a custom role that combines the required permissions. Grant the DevOps team the custom role on the production project.

Create a custom role that combines the required permissions. Grant the DevOps team the custom role on the organization level.

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Question # 50

You need to create a Compute Engine instance in a new project that doesn’t exist yet. What should you do?

Using the Cloud SDK, create a new project, enable the Compute Engine API in that project, and then create the instance specifying your new project.

Enable the Compute Engine API in the Cloud Console, use the Cloud SDK to create the instance, and then use the ––project flag to specify a new project.

Using the Cloud SDK, create the new instance, and use the ––project flag to specify the new project.Answer yes when prompted by Cloud SDK to enable the Compute Engine API.

Enable the Compute Engine API in the Cloud Console. Go to the Compute Engine section of the Console to create a new instance, and look for the Create In A New Project option in the creation form.

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Question # 51

You are deploying a web application using Compute Engine. You created a managed instance group (MIG) to host the application. You want to follow Google-recommended practices to implement a secure and highly available solution. What should you do?

Use SSL proxy load balancing for the MIG and an A record in your DNS private zone with the load balancer's IP address.

Use SSL proxy load balancing for the MIG and a CNAME record in your DNS public zone with the load balancer's IP address.

Use HTTP(S) load balancing for the MIG and a CNAME record in your DNS private zone with the load balancer's IP address.

Use HTTP(S) load balancing for the MIG and an A record in your DNS public zone with the load balancer's IP address.

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Question # 52

Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?

1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery jobUser role to the group.

1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery dataViewer user role to the group.

1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery jobUser role to the group.

1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery dataViewer user role to the group.

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Question # 53

Your company wants to migrate your data from an on-premises relational database to Google Cloud. Your current database can no longer scale with respect to the growth of your users and you expect the number of users to rapidly grow. You need to choose a relational database that allows you to globally scale while minimizing your management and administration efforts. You also want to follow Google-recommended practices. What should you do?

Use Cloud SQL

Use Filestore.

Use Spanner.

Use BigQuery.

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Question # 54

Your organization uses Active Directory (AD) to manage user identities. Each user uses this identity for federated access to various on-premises systems. Your security team has adopted a policy that requires users to log into Google Cloud with their AD identity instead of their own login. You want to follow the Google-recommended practices to implement this policy. What should you do?

Sync Identities with Cloud Directory Sync, and then enable SAML for single sign-on

Sync Identities in the Google Admin console, and then enable Oauth for single sign-on

Sync identities with 3rd party LDAP sync, and then copy passwords to allow simplified login with (he same credentials

Sync identities with Cloud Directory Sync, and then copy passwords to allow simplified login with the same credentials.

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Question # 55

You need to configure optimal data storage for files stored in Cloud Storage for minimal cost. The files are used in a mission-critical analytics pipeline that is used continually. The users are in Boston, MA (United States). What should you do?

Configure regional storage for the region closest to the users Configure a Nearline storage class

Configure regional storage for the region closest to the users Configure a Standard storage class

Configure dual-regional storage for the dual region closest to the users Configure a Nearline storage class

Configure dual-regional storage for the dual region closest to the users Configure a Standard storage class

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Question # 56

You used the gcloud container clusters command to create two Google Cloud Kubernetes (GKE) clusters prod-cluster and dev-cluster.

• prod-cluster is a standard cluster.

• dev-cluster is an auto-pilot duster.

When you run the Kubect1 get nodes command, you only see the nodes from prod-cluster Which commands should you run to check the node status for dev-cluster?

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Question # 57

You are building an application that will run in your data center. The application will use Google Cloud Platform (GCP) services like AutoML. You created a service account that has appropriate access to AutoML. You need to enable authentication to the APIs from your on-premises environment. What should you do?

Use service account credentials in your on-premises application.

Use gcloud to create a key file for the service account that has appropriate permissions.

Set up direct interconnect between your data center and Google Cloud Platform to enable authentication for your on-premises applications.

Go to the IAM & admin console, grant a user account permissions similar to the service account permissions, and use this user account for authentication from your data center.

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Question # 58

Your company uses Pub/Sub for event-driven workloads. You have a subscription named email-updates attached to the new-orders topic. You need to fetch and acknowledge waiting messages from this subscription. What should you do?

Use the gcloud pubsub subscriptions seek email-updates command.

Use the gcloud pubsub topics describe new-orders command.

Use the gcloud pubsub subscriptions pull email-updates —auto-ack command.

Use the gcloud pubsub topics list-subscriptions new-orders —1ilter="email-updates" command.

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Question # 59

You have an application that uses Cloud Spanner as a backend database. The application has a very predictable traffic pattern. You want to automatically scale up or down the number of Spanner nodes depending on traffic. What should you do?

Create a cron job that runs on a scheduled basis to review stackdriver monitoring metrics, and then resize the Spanner instance accordingly.

Create a Stackdriver alerting policy to send an alert to oncall SRE emails when Cloud Spanner CPU exceeds the threshold. SREs would scale resources up or down accordingly.

Create a Stackdriver alerting policy to send an alert to Google Cloud Support email when Cloud Spanner CPU exceeds your threshold. Google support would scale resources up or down accordingly.

Create a Stackdriver alerting policy to send an alert to webhook when Cloud Spanner CPU is over or under your threshold. Create a Cloud Function that listens to HTTP and resizes Spanner resources accordingly.

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Question # 60

Your company is seeking a scalable solution to retain and explore application logs hosted on Compute Engine. You must be able to analyze your logs with SQL queries, and you want to be able to create charts to identify patterns and trends in your logs over time. You want to follow Google-recommended practices and minimize your operational costs. What should you do?

Use a custom script to push your application logs to Cloud SQL for exploration.

Ingest your application logs to Cloud Logging by using Ops Agent, and explore your logs in Logs Explorer.

Ingest your application logs to Cloud Logging by using Ops Agent, and explore your logs with Log Analytics.

Use a custom script to push your application logs to BigQuery for exploration.

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Question # 61

You have been asked to set up the billing configuration for a new Google Cloud customer. Your customer wants to group resources that share common IAM policies. What should you do?

Use labels to group resources that share common IAM policies

Use folders to group resources that share common IAM policies

Set up a proper billing account structure to group IAM policies

Set up a proper project naming structure to group IAM policies

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Question # 62

Your organization has user identities in Active Directory. Your organization wants to use Active Directory as their source of truth for identities. Your organization wants to have full control over the Google accounts used by employees for all Google services, including your Google Cloud Platform (GCP) organization. What should you do?

Use Google Cloud Directory Sync (GCDS) to synchronize users into Cloud Identity.

Use the cloud Identity APIs and write a script to synchronize users to Cloud Identity.

Export users from Active Directory as a CSV and import them to Cloud Identity via the Admin Console.

Ask each employee to create a Google account using self signup. Require that each employee use their company email address and password.

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Question # 63

A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?

Google Compute Engine

Google App Engine

Cloud Functions

Google Kubernetes Engine

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Question # 64

You want to configure autohealing for network load balancing for a group of Compute Engine instances that run in multiple zones, using the fewest possible steps. You need to configure re-creation of VMs if they are unresponsive after 3 attempts of 10 seconds each. What should you do?

Create an HTTP load balancer with a backend configuration that references an existing instance group. Set the health check to healthy (HTTP).

Create an HTTP load balancer with a backend configuration that references an existing instance group. Define a balancing mode and set the maximum RPS to 10.

Create a managed instance group. Set the Autohealing health check to healthy (HTTP).

Create a managed instance group. Verify that the autoscaling setting is on.

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Question # 65

You have an on-premises data analytics set of binaries that processes data files in memory for about 45 minutes every midnight. The sizes of those data files range from 1 gigabyte to 16 gigabytes. You want to migrate this application to Google Cloud with minimal effort and cost. What should you do?

Upload the code to Cloud Functions. Use Cloud Scheduler to start the application.

Create a container for the set of binaries. Use Cloud Scheduler to start a Cloud Run job for the container.

Create a container for the set of binaries Deploy the container to Google Kubernetes Engine (GKE) and use the Kubernetes scheduler to start the application.

Lift and shift to a VM on Compute Engine. Use an instance schedule to start and stop the instance.

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Question # 66

You have production and test workloads that you want to deploy on Compute Engine. Production VMs need to be in a different subnet than the test VMs. All the VMs must be able to reach each other over internal IP without creating additional routes. You need to set up VPC and the 2 subnets. Which configuration meets these requirements?

Create a single custom VPC with 2 subnets. Create each subnet in a different region and with a different CIDR range.

Create a single custom VPC with 2 subnets. Create each subnet in the same region and with the same CIDR range.

Create 2 custom VPCs, each with a single subnet. Create each subnet is a different region and with a different CIDR range.

Create 2 custom VPCs, each with a single subnet. Create each subnet in the same region and with the same CIDR range.

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Question # 67

You created a Google Cloud Platform project with an App Engine application inside the project. You initially configured the application to be served from the us-central region. Now you want the application to be served from the asia-northeast1 region. What should you do?

Change the default region property setting in the existing GCP project to asia-northeast1.

Change the region property setting in the existing App Engine application from us-central to asia-northeast1.

Create a second App Engine application in the existing GCP project and specify asia-northeast1 as the region to serve your application.

Create a new GCP project and create an App Engine application inside this new project. Specify asia-northeast1 as the region to serve your application.

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Question # 68

You need to produce a list of the enabled Google Cloud Platform APIs for a GCP project using the gcloud command line in the Cloud Shell. The project name is my-project. What should you do?

Run gcloud projects list to get the project ID, and then run gcloud services list --project .

Run gcloud init to set the current project to my-project, and then run gcloud services list --available.

Run gcloud info to view the account value, and then run gcloud services list --account .

Run gcloud projects describe to verify the project value, and then run gcloud services list --available.

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Question # 69

Your organization is a financial company that needs to store audit log files for 3 years. Your organization has hundreds of Google Cloud projects. You need to implement a cost-effective approach for log file retention. What should you do?

Create an export to the sink that saves logs from Cloud Audit to BigQuery.

Create an export to the sink that saves logs from Cloud Audit to a Coldline Storage bucket.

Write a custom script that uses logging API to copy the logs from Stackdriver logs to BigQuery.

Export these logs to Cloud Pub/Sub and write a Cloud Dataflow pipeline to store logs to Cloud SQL.

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Question # 70

You are developing an application that will be deployed on Google Cloud. The application will use a service account to retrieve data from BigGuery. Before you deploy your application, you want to test the permissions of this service account from your local machine to ensure there will be no authentication issues. You want to ensure that you use the most secure method while following Google-recommended practices What should you do?

Configure the gcloud CLI with Application Default Credentials using your user account. Issue a relevant BigGuery request through the gcloud CLI to test the access.

Grant the service account the BlgQuery Administrator 1AM role to ensure the service account has all required access.

Generate a service account key, and configure the gcloud CLI to use this key. Issue a relevant BlgQuery request through the gcloud CLI to test the access.

Configure the gcloud CLI to use service account impersonation. Issue a relevant BigQuery request through the gcloud CLI to test the access.

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Question # 71

Your company requires all developers to have the same permissions, regardless of the Google Cloud project they are working on. Your company's security policy also restricts developer permissions to Compute Engine. Cloud Functions, and Cloud SQL. You want to implement the security policy with minimal effort. What should you do?

• Create a custom role with Compute Engine, Cloud Functions, and Cloud SQL permissions in one project within the Google Cloud organization.• Copy the role across all projects created within the organization with the gcloud iam roles copy command.• Assign the role to developers in those projects.

• Add all developers to a Google group in Google Groups for Workspace.• Assign the predefined role of Compute Admin to the Google group at the Google Cloud organization level.

• Add all developers to a Google group in Cloud Identity.• Assign predefined roles for Compute Engine, Cloud Functions, and Cloud SQL permissions to the Google group for each project in the Google Cloud organization.

• Add all developers to a Google group in Cloud Identity.• Create a custom role with Compute Engine, Cloud Functions, and Cloud SQL permissions at the Google Cloud organization level.• Assign the custom role to the Google group.

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Question # 72

You want to configure a solution for archiving data in a Cloud Storage bucket. The solution must be cost-effective. Data with multiple versions should be archived after 30 days. Previous versions are accessed once a month for reporting. This archive data is also occasionally updated at month-end. What should you do?

Add a bucket lifecycle rule that archives data with newer versions after 30 days to Coldline Storage.

Add a bucket lifecycle rule that archives data with newer versions after 30 days to Nearline Storage.

Add a bucket lifecycle rule that archives data from regional storage after 30 days to Coldline Storage.

Add a bucket lifecycle rule that archives data from regional storage after 30 days to Nearline Storage.

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Question # 73

You are planning to migrate the following on-premises data management solutions to Google Cloud:

• One MySQL cluster for your main database

• Apache Kafka for your event streaming platform

• One Cloud SOL for PostgreSOL database for your analytical and reporting needs

You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management. What should you do?

Migrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL

Migrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SOL for PostgreSQL to Cloud SQL

Migrate from MySQL to Cloud SOL, from Kafka to Pub/Sub, and from Cloud SOL for PostgreSQL to BigQuery.

Migrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub. and from Cloud SQL for PostgreSQL to BigQuery

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Question # 74

You are hosting an application from Compute Engine virtual machines (VMs) in us–central1–a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?

– Create Compute Engine resources in us–central1–b.–Balance the load across both us–central1–a and us–central1–b.

– Create a Managed Instance Group and specify us–central1–a as the zone.–Configure the Health Check with a short Health Interval.

– Create an HTTP(S) Load Balancer.–Create one or more global forwarding rules to direct traffic to your VMs.

– Perform regular backups of your application.–Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.–Restore from backups when notified.

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Question # 75

Your organization needs to grant users access to query datasets in BigQuery but prevent them from accidentally deleting the datasets. You want a solution that follows Google-recommended practices. What should you do?

Add users to roles/bigquery user role only, instead of roles/bigquery dataOwner.

Add users to roles/bigquery dataEditor role only, instead of roles/bigquery dataOwner.

Create a custom role by removing delete permissions, and add users to that role only.

Create a custom role by removing delete permissions. Add users to the group, and then add the group to the custom role.

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Question # 76

Your managed instance group raised an alert stating that new instance creation has failed to create new instances. You need to maintain the number of running instances specified by the template to be able to process expected application traffic. What should you do?

Create an instance template that contains valid syntax which will be used by the instance group. Delete any persistent disks with the same name as instance names.

Create an instance template that contains valid syntax that will be used by the instance group. Verify that the instance name and persistent disk name values are not the same in the template.

Verify that the instance template being used by the instance group contains valid syntax. Delete any persistent disks with the same name as instance names. Set the disks.autoDelete property to true in the instance template.

Delete the current instance template and replace it with a new instance template. Verify that the instance name and persistent disk name values are not the same in the template. Set the disks.autoDelete property to true in the instance template.

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Question # 77

You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-system namespace of the cluster. You want a solution that uses the fewest possible services. What should you do?

Add the cluster’s API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.

Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.

With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.

In the cluster’s definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.

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Question # 78

You built an application on Google Cloud Platform that uses Cloud Spanner. Your support team needs to monitor the environment but should not have access to table data. You need a streamlined solution to grant the correct permissions to your support team, and you want to follow Google-recommended practices. What should you do?

Add the support team group to the roles/monitoring.viewer role

Add the support team group to the roles/spanner.databaseUser role.

Add the support team group to the roles/spanner.databaseReader role.

Add the support team group to the roles/stackdriver.accounts.viewer role.

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Question # 79

You received a JSON file that contained a private key of a Service Account in order to get access to several resources in a Google Cloud project. You downloaded and installed the Cloud SDK and want to use this private key for authentication and authorization when performing gcloud commands. What should you do?

Use the command gcloud auth login and point it to the private key

Use the command gcloud auth activate-service-account and point it to the private key

Place the private key file in the installation directory of the Cloud SDK and rename it to "credentials ison"

Place the private key file in your home directory and rename it to ‘’GOOGLE_APPUCATION_CREDENTiALS".

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Question # 80

You are managing a Data Warehouse on BigQuery. An external auditor will review your company's processes, and multiple external consultants will need view access to the data. You need to provide them with view access while following Google-recommended practices. What should you do?

Grant each individual external consultant the role of BigQuery Editor

Grant each individual external consultant the role of BigQuery Viewer

Create a Google Group that contains the consultants and grant the group the role of BigQuery Editor

Create a Google Group that contains the consultants, and grant the group the role of BigQuery Viewer

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Question # 81

Your company is moving its entire workload to Compute Engine. Some servers should be accessible through the Internet, and other servers should only be accessible over the internal network. All servers need to be able to talk to each other over specific ports and protocols. The current on-premises network relies on a demilitarized zone (DMZ) for the public servers and a Local Area Network (LAN) for the private servers. You need to design the networking infrastructure on

Google Cloud to match these requirements. What should you do?

1. Create a single VPC with a subnet for the DMZ and a subnet for the LAN. 2. Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public ingress traffic for the DMZ.

1. Create a VPC with a subnet for the DMZ and another VPC with a subnet for the LAN. 2. Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public ingress traffic for the DMZ.

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Question # 82

You need to set a budget alert for use of Compute Engineer services on one of the three Google Cloud Platform projects that you manage. All three projects are linked to a single billing account. What should you do?

Verify that you are the project billing administrator. Select the associated billing account and create a budget and alert for the appropriate project.

Verify that you are the project billing administrator. Select the associated billing account and create a budget and a custom alert.

Verify that you are the project administrator. Select the associated billing account and create a budget for the appropriate project.

Verify that you are project administrator. Select the associated billing account and create a budget and a custom alert.

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Question # 83

You are assisting a new Google Cloud user who just installed the Google Cloud SDK on their VM. The server needs access to Cloud Storage. The user wants your help to create a new storage bucket. You need to make this change in multiple environments. What should you do?

Use a Deployment Manager script to automate creating storage buckets in an appropriate region

Use a local SSD to improve performance of the VM for the targeted workload

Use the gsutii command to create a storage bucket in the same region as the VM

Use a Persistent Disk SSD in the same zone as the VM to improve performance of the VM

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Question # 84

You need to update a deployment in Deployment Manager without any resource downtime in the deployment. Which command should you use?

gcloud deployment-manager deployments create --config

gcloud deployment-manager deployments update --config

gcloud deployment-manager resources create --config

gcloud deployment-manager resources update --config

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Question # 85

You need to manage a third-party application that will run on a Compute Engine instance. Other Compute Engine instances are already running with default configuration. Application installation files are hosted on Cloud Storage. You need to access these files from the new instance without allowing other virtual machines (VMs) to access these files. What should you do?

Create the instance with the default Compute Engine service account Grant the service account permissions on Cloud Storage.

Create the instance with the default Compute Engine service account Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.

Create a new service account and assig n this service account to the new instance Grant the service account permissions on Cloud Storage.

Create a new service account and assign this service account to the new instance Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.

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Question # 86

You have deployed multiple Linux instances on Compute Engine. You plan on adding more instances in the coming weeks. You want to be able to access all of these instances through your SSH client over me Internet without having to configure specific access on the existing and new instances. You do not want the Compute Engine instances to have a public IP. What should you do?

Configure Cloud Identity-Aware Proxy (or HTTPS resources

Configure Cloud Identity-Aware Proxy for SSH and TCP resources.

Create an SSH keypair and store the public key as a project-wide SSH Key

Create an SSH keypair and store the private key as a project-wide SSH Key

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Question # 87

You recently received a new Google Cloud project with an attached billing account where you will work. You need to create instances, set firewalls, and store data in Cloud Storage. You want to follow Google-recommended practices. What should you do?

Use the gcloud CLI services enablecloudresourcemanager.googleapis.comcommand to enable all resources.

Use the gcloud services enablecompute.googleapis.comcommand to enable Compute Engineand thegcloud services enablestorage-api.googleapis.comcommand to enable the Cloud Storage APIs.

Open the Google Cloud console and enable all Google Cloud APIs from the API dashboard.

Open the Google Cloud console and run gcloud init --project in a Cloud Shell.

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Question # 88

You created a Kubernetes deployment by running kubectl run nginx image=nginx labels=app=prod. Your Kubernetes cluster is also used by a number of other deployments. How can you find the identifier of the pods for this nginx deployment?

kubectl get deployments –output=pods

gcloud get pods –selector=”app=prod”

kubectl get pods -I “app=prod”

gcloud list gke-deployments -filter={pod }

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Question # 89

Your team maintains the infrastructure for your organization. The current infrastructure requires changes. You need to share your proposed changes with the rest of the team. You want to follow Google’s recommended best practices. What should you do?

Use Deployment Manager templates to describe the proposed changes and store them in a Cloud Storage bucket.

Use Deployment Manager templates to describe the proposed changes and store them in Cloud Source Repositories.

Apply the change in a development environment, run gcloud compute instances list, and then save the output in a shared Storage bucket.

Apply the change in a development environment, run gcloud compute instances list, and then save the output in Cloud Source Repositories.

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Question # 90

You need to create a custom VPC with a single subnet. The subnet’s range must be as large as possible. Which range should you use?

.00.0.0/0

10.0.0.0/8

172.16.0.0/12

192.168.0.0/16

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Question # 91

An external member of your team needs list access to compute images and disks in one of your projects. You want to follow Google-recommended practices when you grant the required permissions to this user. What should you do?

Create a custom role, and add all the required compute.disks.list and compute, images.list permissions as includedPermissions. Grant the custom role to the user at the project level.

Create a custom role based on the Compute Image User role Add the compute.disks, list to theincludedPermissions field Grant the custom role to the user at the project level

Grant the Compute Storage Admin role at the project level.

Create a custom role based on the Compute Storage Admin role. Exclude unnecessary permissions from the custom role. Grant the custom role to the user at the project level.

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Question # 92

You are building a backend service for an ecommerce platform that will persist transaction data from mobile and web clients. After the platform is launched, you expect a large volume of global transactions. Your business team wants to run SQL queries to analyze the data. You need to build a highly available and scalable data store for the platform. What should you do?

Create a multi-region Cloud Spanner instance with an optimized schema.

Create a multi-region Firestore database with aggregation query enabled.

Create a multi-region Cloud SQL for PostgreSQL database with optimized indexes.

Create a multi-region BigQuery dataset with optimized tables.

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Question # 93

You are using Google Kubernetes Engine with autoscaling enabled to host a new application. You want to expose this new application to the public, using HTTPS on a public IP address. What should you do?

Create a Kubernetes Service of type NodePort for your application, and a Kubernetes Ingress to expose this Service via a Cloud Load Balancer.

Create a Kubernetes Service of type ClusterIP for your application. Configure the public DNS name of your application using the IP of this Service.

Create a Kubernetes Service of type NodePort to expose the application on port 443 of each node of the Kubernetes cluster. Configure the public DNS name of your application with the IP of every node of the cluster to achieve load-balancing.

Create a HAProxy pod in the cluster to load-balance the traffic to all the pods of the application. Forward the public traffic to HAProxy with an iptable rule. Configure the DNS name of your application using the public IP of the node HAProxy is running on.

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Question # 94

You have a number of applications that have bursty workloads and are heavily dependent on topics to decouple publishing systems from consuming systems. Your company would like to go serverless to enable developers to focus on writing code without worrying about infrastructure. Your solution architect has already identified Cloud Pub/Sub as a suitable alternative for decoupling systems. You have been asked to identify a suitable GCP Serverless service that is easy to use with Cloud Pub/Sub. You want the ability to scale down to zero when there is no traffic in order to minimize costs. You want to follow Google recommended practices. What should you suggest?

Cloud Run for Anthos

Cloud Run

App Engine Standard

Cloud Functions.

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Question # 95

You have created a new project in Google Cloud through the gcloud command line interface (CLI) and linked a billing account. You need to create a new Compute

Engine instance using the CLI. You need to perform the prerequisite steps. What should you do?

Create a Cloud Monitoring Workspace.

Create a VPC network in the project.

Enable the compute googleapis.com API.

Grant yourself the IAM role of Compute Admin.

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Question # 96

All development (dev) teams in your organization are located in the United States. Each dev team has its own Google Cloud project. You want to restrict access so that each dev team can only create cloud resources in the United States (US). What should you do?

Create a folder to contain all the dev projects Create an organization policy to limit resources in US locations.

Create an organization to contain all the dev projects. Create an Identity and Access Management (IAM) policy to limit the resources in US regions.

Create an Identity and Access Management

Create an Identity and Access Management (IAM)policy to restrict the resources locations in all dev projects. Apply the policy to all dev roles.

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Question # 97

You deployed an LDAP server on Compute Engine that is reachable via TLS through port 636 using UDP. You want to make sure it is reachable by clients over that port. What should you do?

Add the network tag allow-udp-636 to the VM instance running the LDAP server.

Create a route called allow-udp-636 and set the next hop to be the VM instance running the LDAP server.

Add a network tag of your choice to the instance. Create a firewall rule to allow ingress on UDP port 636 for that network tag.

Add a network tag of your choice to the instance running the LDAP server. Create a firewall rule to allow egress on UDP port 636 for that network tag.

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Question # 98

You are writing a shell script that includes a few gcloud CLI commands to access some Google Cloud resources. You want to test the script in your local development environment with a service account in the most secure way. What should you do?

Download the service account key file and save it in a secure location. Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the key file.

Enable service account impersonation, and use the gcloud config set auth/impersonate_service_account command to use it by default.

Generate an ID token for the service account. Use the token with the gcloud CLI commands.

Download the service account key file, and use it to generate an access token. Use the token with the gcloud CLI commands.

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Question # 99

You are building a multi-player gaming application that will store game information in a database. As the popularity of the application increases, you are concerned about delivering consistent performance. You need to ensure an optimal gaming performance for global users, without increasing the management complexity. What should you do?

Use Cloud SQL database with cross-region replication to store game statistics in the EU, US, and APAC regions.

Use Cloud Spanner to store user data mapped to the game statistics.

Use BigQuery to store game statistics with a Redis on Memorystore instance in the front to provide global consistency.

Store game statistics in a Bigtable database partitioned by username.

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