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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: Oct 28, 2025

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

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Associate-Cloud-Engineer Questions and Answers

Question # 1

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?

A.

Use service account credentials in your on-premises application.

B.

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

C.

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

D.

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.

Question # 2

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

A.

gcloud deployment-manager deployments create --config

B.

gcloud deployment-manager deployments update --config

C.

gcloud deployment-manager resources create --config

D.

gcloud deployment-manager resources update --config

Question # 3

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?

A.

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.

B.

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

C.

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.

D.

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

Question # 4

The DevOps group in your organization needs full control of Compute Engine resources in your development project. However, they should not have permission to create or update any other resources in the project. You want to follow Google's recommendations for setting permissions for the DevOps group. What should you do?

A.

Grant the basic role roles/viewer and the predefined role roles/compute.admin to the DevOps group.

B.

Create an IAM policy and grant all compute. instanceAdmln." permissions to the policy Attach the policy to the DevOps group.

C.

Create a custom role at the folder level and grant all compute. instanceAdmln. * permissions to the role Grant the custom role to the DevOps group.

D.

Grant the basic role roles/editor to the DevOps group.

Question # 5

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?

A.

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

B.

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

C.

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.

D.

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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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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