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 Professional-Cloud-Developer Dumps with Practice Exam Questions Answers

Questions: 138 questions

Last Update: Jul 1, 2022

Google Certification Exam Professional-Cloud-Developer has been designed to measure your skills in handling the technical tasks mentioned in the certification syllabus

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Professional-Cloud-Developer Questions and Answers

Question # 1

You are developing an application that will be launched on Compute Engine instances into multiple distinct projects, each corresponding to the environments in your software development process (development, QA, staging, and production). The instances in each project have the same application code but a different configuration. During deployment, each instance should receive the application’s configuration based on the environment it serves. You want to minimize the number of steps to configure this flow.

What should you do?

A.

When creating your instances, configure a startup script using the gcloud command to determine the project name that indicates the correct environment.

B.

In each project, configure a metadata key “environment” whose value is the environment it serves. Use your deployment tool to query the instance metadata and configure the application based on the “environment” value.

C.

Deploy your chosen deployment tool on an instance in each project. Use a deployment job to retrieve the appropriate configuration file from your version control system, and apply the configuration when deploying the application on each instance.

D.

During each instance launch, configure an instance custom-metadata key named “environment” whose value is the environment the instance serves. Use your deployment tool to query the instance metadata, and configure the application based on the “environment” value.

Question # 2

Your company has created an application that uploads a report to a Cloud Storage bucket. When the report is uploaded to the bucket, you want to publish a message to a Cloud Pub/Sub topic. You want to implement a solution that will take a small amount to effort to implement. What should you do?

A.

Configure the Cloud Storage bucket to trigger Cloud Pub/Sub notifications when objects are modified.

B.

Create an App Engine application to receive the file; when it is received, publish a message to the Cloud Pub/Sub topic.

C.

Create a Cloud Function that is triggered by the Cloud Storage bucket. In the Cloud Function, publish a message to the Cloud Pub/Sub topic.

D.

Create an application deployed in a Google Kubernetes Engine cluster to receive the file; when it is received, publish a message to the Cloud Pub/Sub topic.

Question # 3

Your team develops services that run on Google Cloud. You need to build a data processing service and will use Cloud Functions. The data to be processed by the function is sensitive. You need to ensure that invocations can only happen from authorized services and follow Google-recommended best practices for securing functions. What should you do?

A.

Enable Identity-Aware Proxy in your project. Secure function access using its permissions.

B.

Create a service account with the Cloud Functions Viewer role. Use that service account to invoke the function.

C.

Create a service account with the Cloud Functions Invoker role. Use that service account to invoke the function.

D.

Create an OAuth 2.0 client ID for your calling service in the same project as the function you want to secure. Use those credentials to invoke the function.

Question # 4

You are developing a microservice-based application that will be deployed on a Google Kubernetes Engine cluster. The application needs to read and write to a Spanner database. You want to follow security best practices while minimizing code changes. How should you configure your application to retrieve Spanner credentials?

A.

Configure the appropriate service accounts, and use Workload Identity to run the pods.

B.

Store the application credentials as Kubernetes Secrets, and expose them as environment variables.

C.

Configure the appropriate routing rules, and use a VPC-native cluster to directly connect to the database.

D.

Store the application credentials using Cloud Key Management Service, and retrieve them whenever a database connection is made.

Question # 5

Your team is developing a new application using a PostgreSQL database and Cloud Run. You are responsible for ensuring that all traffic is kept private on Google Cloud. You want to use managed services and follow Google-recommended best practices. What should you do?

A.

1. Enable Cloud SQL and Cloud Run in the same project.

2. Configure a private IP address for Cloud SQL. Enable private services access.

3. Create a Serverless VPC Access connector.

4. Configure Cloud Run to use the connector to connect to Cloud SQL.

B.

1. Install PostgreSQL on a Compute Engine virtual machine (VM), and enable Cloud Run in the same project.

2. Configure a private IP address for the VM. Enable private services access.

3. Create a Serverless VPC Access connector.

4. Configure Cloud Run to use the connector to connect to the VM hosting PostgreSQL.

C.

1. Use Cloud SQL and Cloud Run in different projects.

2. Configure a private IP address for Cloud SQL. Enable private services access.

3. Create a Serverless VPC Access connector.

4. Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to connect to Cloud SQL.

D.

1. Install PostgreSQL on a Compute Engine VM, and enable Cloud Run in different projects.

2. Configure a private IP address for the VM. Enable private services access.

3. Create a Serverless VPC Access connector.

4. Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to access the VM hosting PostgreSQL

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