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Google Associate-Cloud-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Associate-Cloud-Engineer
Exam Name:
Google Cloud Certified - Associate Cloud Engineer
Certification:
Vendor:
Questions:
332
Last Updated:
May 26, 2026
Exam Status:
Stable
Google Associate-Cloud-Engineer

Associate-Cloud-Engineer: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

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Google Cloud Certified - Associate Cloud Engineer Questions and Answers

Question 1

Your organization has decided to deploy all its compute workloads to Kubernetes on Google Cloud and two other cloud providers. You want to build an infrastructure-as-code solution to automate the provisioning process for all cloud resources. What should you do?

Options:

A.

Build the solution by using YAML manifests, and provision the resources.

B.

Build the solution by using Terraform, and provision the resources.

C.

Build the solution by using Python and the cloud SDKs from all providers to provision the resources.

D.

Build the solution by using Config Connector, and provision the resources.

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Question 2

You are building an application that processes data files uploaded from thousands of suppliers. Your primary goals for the application are data security and the expiration of aged data. You need to design the application to:

•Restrict access so that suppliers can access only their own data.

•Give suppliers write access to data only for 30 minutes.

•Delete data that is over 45 days old.

You have a very short development cycle, and you need to make sure that the application requires minimal maintenance. Which two strategies should you use? (Choose two.)

Options:

A.

Build a lifecycle policy to delete Cloud Storage objects after 45 days.

B.

Use signed URLs to allow suppliers limited time access to store their objects.

C.

Set up an SFTP server for your application, and create a separate user for each supplier.

D.

Build a Cloud function that triggers a timer of 45 days to delete objects that have expired.

E.

Develop a script that loops through all Cloud Storage buckets and deletes any buckets that are older than 45 days.

Question 3

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?

Options:

A.

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

B.

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

C.

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

D.

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