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 Associate-Cloud-Engineer Dumps with Practice Exam Questions Answers

Questions: 332 Questions and Answers With Step-by-Step Explanation

Last Update: Feb 1, 2026

Associate-Cloud-Engineer Question Includes: Single Choice Questions: 326, Multiple Choice Questions: 6,

Associate-Cloud-Engineer Questions and Answers

Question # 1

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?

A.

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

B.

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

C.

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

D.

Create a multi-region BigQuery dataset with optimized tables.

Question # 2

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?

A.

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

B.

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

C.

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.

D.

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.

Question # 3

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?

A.

Cloud Run for Anthos

B.

Cloud Run

C.

App Engine Standard

D.

Cloud Functions.

Question # 4

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?

A.

Create a Cloud Monitoring Workspace.

B.

Create a VPC network in the project.

C.

Enable the compute googleapis.com API.

D.

Grant yourself the IAM role of Compute Admin.

Question # 5

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?

A.

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

B.

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

C.

Create an Identity and Access Management

D.

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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Google Associate-Cloud-Engineer Practice Exam FAQs

1. What is the Google Associate-Cloud-Engineer Exam?


The Google Associate-Cloud-Engineer certification validates your ability to deploy and secure applications, services, and infrastructure on Google Cloud.

2. Who should take the Google Associate-Cloud-Engineer Exam?


The Google Associate-Cloud-Engineer exam is ideal for cloud professionals with 1+ years of experience managing and deploying cloud solutions on GCP. It's also a valuable credential for IT professionals transitioning to the cloud or seeking to specialize in Google Cloud technologies.

3. What topics does the Associate-Cloud-Engineer Exam cover?


The Associate-Cloud-Engineer exam focuses on five key areas:

  • Setting up a cloud solution environment (projects, billing, IAM)
  • Planning and configuring compute resources (VMs, containers)
  • Deploying and implementing cloud solutions (storage, networking)
  • Ensuring successful operation (monitoring, logging, troubleshooting)
  • Configuring access and security (IAM, IAM policies)

4. How many questions are there in the Google Associate-Cloud-Engineer Exam?


The Google Associate-Cloud-Engineer exam typically consists of 50 multiple-choice questions.

5. What is the duration of the Google Associate-Cloud-Engineer Exam?


The duration of the Google Associate-Cloud-Engineer exam is 2 hours.

6. What is the passing score for the Google Associate-Cloud-Engineer Exam?


The passing score for the Google Associate-Cloud-Engineer exam is 70%.

7. What is the difference between Google Associate-Cloud-Engineer and Professional-Data-Engineer Certification Exams?


The Google Associate-Cloud-Engineer and Professional-Data-Engineer exams are both certifications focused on Google Cloud Platform (GCP), but they cater to different levels of expertise and job roles.

  • Google Associate-Cloud-Engineer: The Google Associate-Cloud-Engineer Exam focus broad overview of GCP services, including Compute Engine, Cloud Storage, Cloud SQL, networking, security, and monitoring.
  • Google Professional-Data-Engineer: The Google Professional-Data-Engineer Exam focus in-depth knowledge of data engineering concepts, including data pipelines, data warehousing, data lakes, and machine learning.

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