You are the team lead of a group of 10 developers. You provided each developer with an individual Google Cloud Project that they can use as their personal sandbox to experiment with different Google Cloud solutions. You want to be notified if any of the developers are spending above $500 per month on their sandbox environment. What should you do?

• A.Create a single budget for all projects and configure budget alerts on this budget.
• B.Create a separate billing account per sandbox project and enable BigQuery billing exports.
  Create a Data Studio dashboard to plot the spending per billing account.
• C.Create a budget per project and configure budget alerts on all of these budgets.
• D.Create a single billing account for all sandbox projects and enable BigQuery billing exports.
  Create a Data Studio dashboard to plot the spending per project.

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You've deployed a microservice called myapp1to 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 ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.
• C.Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.
• 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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You need to enable traffic between multiple groups of Compute Engine instances that are currently running two different GCP projects. Each group of Compute Engine instances is running in its own VPC. What should you do?

• A.Verify that both projects are in a GCP Organization. Share the VPC from one project and request that the Compute Engine instances in the other project use this shared VPC.
• B.Verify that you are the Project Administrator of both projects. Create a new VPC and add all instances.
• C.Verify that you are the Project Administrator of both projects. Create two new VPCs and add all instances.
• D.Verify that both projects are in a GCP Organization. Create a new VPC and add all instances.

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Your company wants to migrate their on-premises workloads to Google Cloud. The current on- premises workloads consist of:
- A Flask web application
- A backend API
- A scheduled long-running background job for ETL and reporting
You need to keep operational costs low. You want to follow Google-recommended practices to migrate these workloads to serverless solutions on Google Cloud. What should you do?

• A.Migrate the web application to App Engine and the backend API to Cloud Run. Use Cloud Tasks to run your background job on Compute Engine.
• B.Migrate the web application to App Engine and the backend API to Cloud Run. Use Cloud Tasks to run your background job on Cloud Run.
• C.Run the web application on a Cloud Storage bucket and the backend API on Cloud Run. Use Cloud Tasks to run your background job on Cloud Run.
• D.Run the web application on a Cloud Storage bucket and the backend API on Cloud Run. Use Cloud Tasks to run your background job on Compute Engine.

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

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