You need to reduce the cost of virtual machines (VM) for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?

A. A scalable in-memory caching system.

B. The organization's public-facing website.

C. A distributed, eventually consistent NoSQL database cluster with sufficient quorum.

D. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket.

Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams’ environments. What should you do?

A. Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.

B. Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.

C. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.

D. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.

The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE). You could not fully load-test the new version in your pre-production environment, and you need to ensure that the application does not have performance problems after deployment. Your deployment must be automated. What should you do?

A. Deploy the application through a continuous delivery pipeline by using canary deployments. Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics.

B. Deploy the application through a continuous delivery pipeline by using blue/green deployments. Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues.

C. Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.

D. Deploy the application by using kubectl and set the spec.updateStrategy.type field to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

You built a serverless application by using Cloud Run and deployed the application to your production environment. You want to identify the resource utilization of the application for cost optimization. What should you do?

A. Use Cloud Trace with distributed tracing to monitor the resource utilization of the application.

B. Use Cloud Profiler with Ops Agent to monitor the CPU and memory utilization of the application.

C. Use Cloud Monitoring to monitor the container CPU and memory utilization of the application.

D. Use Cloud Ops to create logs-based metrics to monitor the resource utilization of the application.

You have deployed a fleet of Compute Engine instances in Google Cloud. You need to ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring by your company's operations and cyber security teams. You need to grant the required roles for the Compute Engine service account by using Identity and Access Management (IAM) while following the principle of least privilege. What should you do?

A. Grant the logging.logWriter and monitoring.metricWriter roles to the Compute Engine service accounts.

B. Grant the logging.admin and monitoring.editor roles to the Compute Engine service accounts.

C. Grant the logging.editor and monitoring.metricWriter roles to the Compute Engine service accounts.

D. Grant the logging.logWriter and monitoring.editor roles to the Compute Engine service accounts.