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Associate-Cloud-Engineer Google Cloud Certified - Associate Cloud Engineer Free Practice Exam Questions (2025 Updated)

Prepare effectively for your Google Associate-Cloud-Engineer Google Cloud Certified - Associate Cloud Engineer certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.

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Total 325 questions

Your company has multiple projects linked to a single billing account in Google Cloud. You need to visualize the costs with specific metrics that should be dynamically calculated based on company-specific criteria. You want to automate the process. What should you do?

A.

In the Google Cloud console, visualize the costs related to the projects in the Reports section.

B.

In the Google Cloud console, visualize the costs related to the projects in the Cost breakdown section.

C.

In the Google Cloud console, use the export functionality of the Cost table. Create a Looker Studiodashboard on top of the CSV export.

D.

Configure Cloud Billing data export to BigOuery for the billing account. Create a Looker Studio dashboard on top of the BigQuery export.

You deployed an App Engine application using gcloud app deploy, but it did not deploy to the intended project. You want to find out why this happened and where the application deployed. What should you do?

A.

Check the app.yaml file for your application and check project settings.

B.

Check the web-application.xml file for your application and check project settings.

C.

Go to Deployment Manager and review settings for deployment of applications.

D.

Go to Cloud Shell and run gcloud config list to review the Google Cloud configuration used for deployment.

You are deploying an application to Google Kubernetes Engine (GKE) that needs to call an external third-party API. You need to provide the external API vendor with a list of IP addresses for their firewall to allow traffic from your application. You want to follow Google-recommended practices and avoid any risk of interrupting traffic to the API due to IP address changes. What should you do?

A.

Configure your GKE cluster with one node, and set the node to have a static external IP address. Ensure that the GKE cluster autoscaler is off. Send the external IP address of the node to the vendor to be added to the allowlist.

B.

Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with static IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.

C.

Configure your GKE cluster with public nodes. Write a Cloud Function that pulls the public IP addresses of each node in the cluster. Trigger the function to run every day with Cloud Scheduler. Send the list to the vendor by email every day.

D.

Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with dynamic IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.

A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost. What should you do?

A.

Enable node auto-provisioning on the GKE cluster.

B.

Create a VerticalPodAutscaler for those workloads.

C.

Create a node pool with preemptible VMs and GPUs attached to those VMs.

D.

Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.

You have a large 5-TB AVRO file stored in a Cloud Storage bucket. Your analysts are proficient only in SQL and need access to the data stored in this file. You want to find a cost-effective way to complete their request as soon as possible. What should you do?

A.

Load data in Cloud Datastore and run a SQL query against it.

B.

Create a BigQuery table and load data in BigQuery. Run a SQL query on this table and drop this table after you complete your request.

C.

Create external tables in BigQuery that point to Cloud Storage buckets and run a SQL query on these external tables to complete your request.

D.

Create a Hadoop cluster and copy the AVRO file to NDFS by compressing it. Load the file in a hive table and provide access to your analysts so that they can run SQL queries.

Your manager asks you to deploy a workload to a Kubernetes cluster. You are not sure of the workloads resource requirements or how the requirements might vary depending on usage patterns, external dependencies, or other factors. You need a solution that makes cost-effective recommendations regarding CPU and memory requirements, and allows the workload to function consistently in any situation. You want to follow Google-recommended practices. What should you do?

A.

Configure the Horizontal Pod Autoscaler for availability, and configure the cluster autoscaler for suggestions.

B.

Configure the Horizontal Pod Autoscaler for availability, and configure the Vertical Pod Autoscaler recommendations for suggestions.

C.

Configure the Vertical Pod Autoscaler recommendations for availability, and configure the Cluster autoscaler for suggestions.

D.

Configure the Vertical Pod Autoscaler recommendations for availability, and configure the Horizontal Pod Autoscaler for suggestions.

You need to create a custom VPC with a single subnet. The subnet’s range must be as large as possible. Which range should you use?

A.

.00.0.0/0

B.

10.0.0.0/8

C.

172.16.0.0/12

D.

192.168.0.0/16

Your application development team has created Docker images for an application that will be deployed on Google Cloud. Your team does not want to manage the infrastructure associated with this application. You need to ensure that the application can scale automatically as it gains popularity. What should you do?

A.

Create an Instance template with the container image, and deploy a Managed Instance Group withAutoscaling.

B.

Upload Docker images to Artifact Registry, and deploy the application on Google Kubernetes Engine usingStandard mode.

C.

Upload Docker images to the Cloud Storage, and deploy the application on Google Kubernetes Engine usingStandard mode.

D.

Upload Docker images to Artifact Registry, and deploy the application on Cloud Run.

Your projects incurred more costs than you expected last month. Your research reveals that a development GKE container emitted a huge number of logs, which resulted in higher costs. You want to disable the logs quickly using the minimum number of steps. What should you do?

A.

1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE container resource.

B.

1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE Cluster Operations resource.

C.

1. Go to the GKE console, and delete existing clusters.2. Recreate a new cluster.3. Clear the option to enable legacy Stackdriver Logging.

D.

1. Go to the GKE console, and delete existing clusters.2. Recreate a new cluster.3. Clear the option to enable legacy Stackdriver Monitoring.

You have a development project with appropriate IAM roles defined. You are creating a production project and want to have the same IAM roles on the new project, using the fewest possible steps. What should you do?

A.

Use gcloud iam roles copy and specify the production project as the destination project.

B.

Use gcloud iam roles copy and specify your organization as the destination organization.

C.

In the Google Cloud Platform Console, use the ‘create role from role’ functionality.

D.

In the Google Cloud Platform Console, use the ‘create role’ functionality and select all applicable permissions.

You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?

A.

Use kubectl app deploy .

B.

Use gcloud app deploy .

C.

Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.

D.

Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.

You need to configure optimal data storage for files stored in Cloud Storage for minimal cost. The files are used in a mission-critical analytics pipeline that is used continually. The users are in Boston, MA (United States). What should you do?

A.

Configure regional storage for the region closest to the users Configure a Nearline storage class

B.

Configure regional storage for the region closest to the users Configure a Standard storage class

C.

Configure dual-regional storage for the dual region closest to the users Configure a Nearline storage class

D.

Configure dual-regional storage for the dual region closest to the users Configure a Standard storage class

You need to grant access for three users so that they can view and edit table data on a Cloud Spanner instance. What should you do?

A.

Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to the role.

B.

Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to a new group. Add the group to the role.

C.

Run gcloud iam roles describe roles/spanner.viewer --project my-project. Add the users to the role.

D.

Run gcloud iam roles describe roles/spanner.viewer --project my-project. Add the users to a new group. Add the group to the role.

(You need to migrate multiple PostgreSQL databases from your on-premises data center to Google Cloud. You want to significantly improve the performance of your databases while minimizing changes to your data schema and application code. You expect to exceed 150 TB of data per geographical region. You want to follow Google-recommended practices and minimize your operational costs. What should you do?)

A.

Migrate your data to AlloyDB.

B.

Migrate your data to Spanner.

C.

Migrate your data to Firebase.

D.

Migrate your data to Bigtable.

You want to run a single caching HTTP reverse proxy on GCP for a latency-sensitive website. This specific reverse proxy consumes almost no CPU. You want to have a 30-GB in-memory cache, and need an additional 2 GB of memory for the rest of the processes. You want to minimize cost. How should you run this reverse proxy?

A.

Create a Cloud Memorystore for Redis instance with 32-GB capacity.

B.

Run it on Compute Engine, and choose a custom instance type with 6 vCPUs and 32 GB of memory.

C.

Package it in a container image, and run it on Kubernetes Engine, using n1-standard-32 instances as nodes.

D.

Run it on Compute Engine, choose the instance type n1-standard-1, and add an SSD persistent disk of 32 GB.

You have been asked to set up the billing configuration for a new Google Cloud customer. Your customer wants to group resources that share common IAM policies. What should you do?

A.

Use labels to group resources that share common IAM policies

B.

Use folders to group resources that share common IAM policies

C.

Set up a proper billing account structure to group IAM policies

D.

Set up a proper project naming structure to group IAM policies

Your company wants to standardize the creation and management of multiple Google Cloud resources using Infrastructure as Code. You want to minimize the amount of repetitive code needed to manage the environment What should you do?

A.

Create a bash script that contains all requirement steps as gcloud commands

B.

Develop templates for the environment using Cloud Deployment Manager

C.

Use curl in a terminal to send a REST request to the relevant Google API for each individual resource.

D.

Use the Cloud Console interface to provision and manage all related resources

You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

A.

1. Update your instances’ metadata to add the following value: snapshot–schedule: 0 1 * * *2. Update your instances’ metadata to add the following value: snapshot–retention: 30

B.

1. In the Cloud Console, go to the Compute Engine Disks page and select your instance’s disk.2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:–Schedule frequency: Daily–Start time: 1:00 AM – 2:00 AM–Autodelete snapshots after 30 days

C.

1. Create a Cloud Function that creates a snapshot of your instance’s disk.2.Create a Cloud Function that deletes snapshots that are older than 30 days.3.Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.

D.

1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.2.Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.3.Configure the instance’s crontab to execute these scripts daily at 1:00 AM.

You created several resources in multiple Google Cloud projects. All projects are linked to different billing accounts. To better estimate future charges, you want to have a single visual representation of all costs incurred. You want to include new cost data as soon as possible. What should you do?

A.

Configure Billing Data Export to BigQuery and visualize the data in Data Studio.

B.

Visit the Cost Table page to get a CSV export and visualize it using Data Studio.

C.

Fill all resources in the Pricing Calculator to get an estimate of the monthly cost.

D.

Use the Reports view in the Cloud Billing Console to view the desired cost information.

You’ve deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

A.

Store the database password inside the Docker image of the container, not in the YAML file.

B.

Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.

C.

Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.

D.

Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.

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Total 325 questions
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