Free Google Associate-Cloud-Engineer Exam Questions

Become Google Certified with updated Associate-Cloud-Engineer exam questions and correct answers

Page: 1 / 70

Total 346 Questions | Updated On: Jan 06, 2026

Add To Cart

Question 1

(You have an application running inside a Compute Engine instance. You want to provide the application with secure access to a BigQuery dataset. You must ensure that credentials are only valid for a short period of time, and your application will only have access to the intended BigQuery dataset. You want to follow Google-recommended practices and minimize your operational costs. What should you do?)

A : Attach a custom service account to the instance, and grant the service account the BigQuery Data Viewer IAM role on the project.

B : Attach a new service account to the instance every hour, and grant the service account the BigQuery Data Viewer IAM role on the dataset.

C : Attach a custom service account to the instance, and grant the service account the BigQuery Data Viewer IAM role on the dataset.

D : Attach a new service account to the instance every hour, and grant the service account the BigQuery Data Viewer IAM role on the project.

Answer: C

Question 2

Your company is running a critical workload on a single Compute Engine VM instance. Your company's disaster recovery policies require you to backup the entire instance's disk data every day. The backups must be retained for 7 days. You must configure a backup solution that complies with your company's security policies and requires minimal setup and configuration. What should you do?

A : Configure the instance to use persistent disk asynchronous replication.

B : Configure daily scheduled persistent disk snapshots with a retention period of 7 days.

C : Configure Cloud Scheduler to trigger a Cloud Function each day that creates a new machine image and deletes machine images that are older than 7 days.

D : Configure a bash script using gsutil to run daily through a cron job. Copy the disk's files to a Cloud Storage bucket with archive storage class and an object lifecycle rule to delete the objects after 7 days.

Answer: B

Question 3

You want to deploy an application on Cloud Run that processes messages from a Cloud Pub/Sub topic. You want to follow Google-recommended practices. What should you do?

A : 1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic.2. Call your application on Cloud Run from the Cloud Function for every message.

B : 1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run.2. Create a Cloud Pub /Sub subscription for that topic.3. Make your application pull messages from that subscription.

C : 1. Create a service account.2. Give the Cloud Run Invoker role to that service account for your Cloud Run application.3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.

D : 1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal.2. Create a Cloud Pub/Sub subscription for that topic.3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application.

Answer: C

Question 4

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?

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

B : Enable parallel composite uploads using gsutil on the file transfer.

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

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

Answer: B

Question 5

You use Cloud Logging lo capture application logs. You now need to use SOL to analyze the application logs in Cloud Logging, and you want to follow Google-recommended practices. What should you do?

A : Develop SQL queries by using Gemini for Google Cloud.

B : Enable Log Analytics for the log bucket and create a linked dataset in BigQuery.

C : Create a schema for the storage bucket and run SQL queries for the data in the bucket.

D : Export logs to a storage bucket and create an external view in BigQuery.

Answer: B

Page: 1 / 70

Total 346 Questions | Updated On: Jan 06, 2026

Add To Cart