Google Associate-Cloud-Engineer Practice Test For Supreme Achievement 2026

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Ensuring successful operation of a cloud solution	20%	- Managing cost and performance 1. Optimize resource usage 2. Analyze cost reports - Managing resources 1. Scale resources 2. Troubleshoot common issues 3. Update configurations - Monitoring and logging 1. Use Cloud Logging 2. Use Cloud Monitoring 3. Set up alerts
Topic 2: Setting up a cloud solution environment	20%	- Setting up cloud projects and accounts 1. Manage quotas and limits 2. Apply organizational policies 3. Manage users and groups 4. Enable APIs 5. Create resource hierarchy 6. Manage IAM roles and permissions - Managing billing configuration 1. Create and manage billing accounts 2. Configure billing exports 3. Link projects to billing accounts 4. Set budgets and alerts
Topic 3: Configuring access and security	17.5%	- Managing IAM 1. Implement least privilege access 2. Manage service accounts 3. Define roles and permissions - Managing data security 1. Enable encryption 2. Manage access to data - Configuring network security 1. Secure VPC networks 2. Configure private access 3. Manage security controls
Topic 4: Planning and configuring a cloud solution	17.5%	- Planning and configuring compute resources 1. Plan data storage solutions 2. Plan instance configuration 3. Choose storage options 4. Select compute options - Planning and configuring network resources 1. Design VPC networks 2. Plan firewall rules 3. Plan hybrid connectivity 4. Choose load balancing options - Planning and configuring storage resources 1. Select storage classes 2. Plan data durability and availability
Topic 5: Deploying and implementing a cloud solution	25%	- Deploying and implementing serverless resources 1. Deploy Cloud Run services 2. Create Cloud Functions - Deploying and implementing data solutions 1. Provision databases 2. Set up data processing pipelines - Deploying and implementing Compute Engine resources 1. Configure access and security 2. Launch virtual machines 3. Create managed instance groups 4. Manage images and snapshots - Deploying and implementing Google Kubernetes Engine resources 1. Create and manage clusters 2. Deploy workloads 3. Configure networking for GKE

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Google Associate Cloud Engineer Exam Sample Questions (Q259-Q264):

NEW QUESTION # 259
You want to add a new auditor to a Google Cloud Platform project. The auditor should be allowed to read, but not modify, all project items.
How should you configure the auditor's permissions?

A. Create a custom role with view-only project permissions. Add the user's account to the custom role.
B. Select the built-in IAM project Viewer role. Add the user's account to this role.
C. Create a custom role with view-only service permissions. Add the user's account to the custom role.
D. Select the built-in IAM service Viewer role. Add the user's account to this role.

Answer: B

Explanation:
Reference: https://cloud.google.com/resource-manager/docs/access-control-proj The primitive role roles/viewer provides read access to all resources in the project. The permissions in this role are limited to Get and list access for all resources. As we have an out of the box role that exactly fits our requirement, we should use this.
Ref: https://cloud.google.com/resource-manager/docs/access-control-proj It is advisable to use the existing GCP provided roles over creating custom roles with similar permissions as this becomes a maintenance overhead. If GCP modifies how permissions are handled or adds/removes permissions, the default GCP provided roles are automatically updated by Google whereas if they were custom roles, the responsibility is with us and this adds to the operational overhead and needs to be avoided.

NEW QUESTION # 260
You want to select and configure a cost-effective solution for relational data on Google Cloud Platform. You are working with a small set of operational data in one geographic location. You need to support point-in-time recovery. What should you do?

A. Select Cloud Spanner. Set up your instance as multi-regional.
B. Select Cloud SQL (MySQL). Select the create failover replicas option.
C. Select Cloud SQL (MySQL). Verify that the enable binary logging option is selected.
D. Select Cloud Spanner. Set up your instance with 2 nodes.

Answer: C

Explanation:
Reference:
https://cloud.google.com/sql/docs/mysql/backup-recovery/restore

NEW QUESTION # 261
Your continuous integration and delivery (CI/CD) server can't execute Google Cloud actions in a specific project because of permission issues. You need to validate whether the used service account has the appropriate roles in the specific project. What should you do?

A. Open the Google Cloud console, and check the organization policies.
B. Open the Google Cloud console, and run a query to determine which resources this service account can access.
C. Open the Google Cloud console, and check the Identity and Access Management (IAM) roles assigned to the service account at the project or inherited from the folder or organization levels.
D. Open the Google Cloud console, and run a query of the audit logs to find permission denied errors for this service account.

Answer: C

Explanation:
This answer is the most effective way to validate whether the service account used by the CI/CD server has the appropriate roles in the specific project. By checking the IAM roles assigned to the service account, you can see which permissions the service account has and which resources it can access. You can also check if the service account inherits any roles from the folder or organization levels, which may affect its access to the project. You can use the Google Cloud console, the gcloud command-line tool, or the IAM API to view the IAM roles of a service account.

NEW QUESTION # 262
You are working for a hospital that stores its medical images in an on-premises data room. The hospital wants to use Cloud Storage for archival storage of these images. The hospital wants an automated process to upload any new medical images to Cloud Storage. You need to design and implement a solution. What should you do?

A. Create a script that uses the gcloud storage command to synchronize the on-premises storage with Cloud Storage, Schedule the script as a cron job.
B. Create a Pub/Sub topic, and enable a Cloud Storage trigger for the Pub/Sub topic. Create an application that sends all medical images to the Pub/Sub topic.
C. Create a Pub/Sub topic, and create a Cloud Function connected to the topic that writes data to Cloud Storage. Create an application that sends all medical images to the Pub/Sub topic.
D. In the Google Cloud console, go to Cloud Storage. Upload the relevant images to the appropriate bucket.

Answer: A

NEW QUESTION # 263
You have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster. Each microservice is a deployment with resource limits configured for each container in the deployment. You've observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?

A. Modify the cluster's node pool machine type and choose a machine type with more memory and CPU.
B. Configure GKE cluster autoscaling.
C. Configure a Vertical Pod Autoscaler for each microservice.
D. Configure a Horizontal Pod Autoscaler for each microservice.

Answer: C

Explanation:
Right-Sizing Resources: VPA is designed to automatically adjust the resource requests and limits (CPU and memory) for pods based on their actual usage. This ensures that pods have enough resources to run efficiently without being over-provisioned, which can lead to wasted resources and higher costs.
Automated Optimization: VPA continuously monitors the resource usage of your pods and recommends optimal settings. You can choose to apply these recommendations automatically or manually, giving you flexibility and control over the process.
Microservice-Specific Tuning: By configuring a VPA for each microservice, you can fine-tune the resource allocation for each individual service based on its specific needs and usage patterns.
This is more efficient than making blanket changes to the entire cluster or node pool.

NEW QUESTION # 264
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