You are migrating your on-premises workload to Google Cloud. Your company is implementing its Cloud Billing configuration and requires access to a granular breakdown of its Google Cloud costs. You need to ensure that the Cloud Billing datasets are available in BigQuery so you can conduct a detailed analysis of costs. What should you do?

• A. Enable Cloud Billing on the project and link a Cloud Billing account. Then view the billing data table in the BigQuery dataset.
• B. Enable Cloud Billing data export to BigQuery when you create a Cloud Billing account.
• C. Create a Cloud Billing account. Enable the BigQuery Data Transfer Service API to export pricing data.
• D. Enable the BigQuery API and ensure that the BigQuery User IAM role is selected. Change the BigQuery dataset to select a data location.

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

You significantly changed a complex Deployment Manager template and want to confirm that the dependencies of all defined resources are properly met before committing it to the project. You want the most rapid feedback on your changes. What should you do?

• A. Use granular logging statements within a Deployment Manager template authored in Python.
• B. Execute the Deployment Manager template against a separate project with the same configuration, and monitor for failures.
• C. Execute the Deployment Manager template using the ?preview option in the same project, and observe the state of interdependent resources.
• D. Monitor activity of the Deployment Manager execution on the Stackdriver Logging page of the GCP Console.

Your company set up a complex organizational structure on Google Could Platform. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure. You need to assign minimum permissions to these team members and you want to follow Google-recommended practices. What should you do?

• A. Add the users to roles/browser role.
• B. Add the users to roles/iam.roleViewer role.
• C. Add the users to a group, and add this group to roles/browser role.
• D. Add the users to a group, and add this group to roles/iam.roleViewer role.

You have an application that uses Cloud Spanner as a backend database. The application has a very predictable traffic pattern. You want to automatically scale up or down the number of Spanner nodes depending on traffic. What should you do?

• A. Create a Stackdriver alerting policy to send an alert to oncall SRE emails when Cloud Spanner CPU exceeds the threshold. SREs would scale resources up or down accordingly.
• B. Create a Stackdriver alerting policy to send an alert to Google Cloud Support email when Cloud Spanner CPU exceeds your threshold. Google support would scale resources up or down accordingly.
• C. Create a cron job that runs on a scheduled basis to review stackdriver monitoring metrics, and then resize the Spanner instance accordingly.
• D. Create a Stackdriver alerting policy to send an alert to webhook when Cloud Spanner CPU is over or under your threshold. Create a Cloud Function that listens to HTTP and resizes Spanner resources accordingly.