The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

• A.Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
• B.Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.
• C.Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
• D.Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.

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You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

• A.Use a persistent disk for each instance.
• B.Use a regional persistent disk for each instance.
• C.Create a Cloud Filestore instance and mount it in each instance.
• D.Create a Cloud Storage bucket and mount it in each instance using gcsfuse.

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For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?

• A.Create network load balancers. Use preemptible Compute Engine instances.
• B.Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
• C.Create a global load balancer with managed instance groups and autoscaling policies. Use non-preemptible Compute Engine instances.
• D.Create network load balancers. Use non-preemptible Compute Engine instances.

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Your applications will be writing their logs to BigQuery for analysis. Each application should have its own table. Any logs older than 45 days should be removed. You want to optimize storage and follow Google- recommended practices. What should you do?

• A.Make the tables time-partitioned, and configure the partition expiration at 45 days
• B.Create a script that uses the BigQuery command line tool (bq) to remove records older than 45 days
• C.Configure the expiration time for your tables at 45 days
• D.Rely on BigQuery's default behavior to prune application logs older than 45 days

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You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?

• A.Create the Key object for each Entity and run a batch get operation
• B.Create the Key object for each Entity and run multiple get operations, one operation for each entity
• C.Use the identifiers to create a query filter and run a batch query operation
• D.Use the identifiers to create a query filter and run multiple query operations, one operation for each entity

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