You are hosting an application from Compute Engine virtual machines (VMs) in us-central1-a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?

• A.- Create Compute Engine resources in us-central1-b.
  - Balance the load across both us-central1-a and us-central1-b.
• B.- Perform regular backups of your application.
  - Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.
  - Restore from backups when notified.
• C.- Create an HTTP(S) Load Balancer.
  - Create one or more global forwarding rules to direct traffic to your VMs.
• D.- Create a Managed Instance Group and specify us-central1-a as the zone.
  - Configure the Health Check with a short Health Interval.

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You have an application that uses Cloud Spanner as a database backend to keep current state information about users. Cloud Bigtable logs all events triggered by users. You export Cloud Spanner data to Cloud Storage during daily backups. One of your analysts asks you to join data from Cloud Spanner and Cloud Bigtable for specific users. You want to complete this ad hoc request as efficiently as possible. What should you do?

• A.Create a Cloud Dataproc cluster that runs a Spark job to extract data from Cloud Bigtable and Cloud Storage for specific users.
• B.Create two separate BigQuery external tables on Cloud Storage and Cloud Bigtable. Use the BigQuery console to join these tables through user fields, and apply appropriate filters.
• C.Create a dataflow job that copies data from Cloud Bigtable and Cloud Storage for specific users.
• D.Create a dataflow job that copies data from Cloud Bigtable and Cloud Spanner for specific users.

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You need to grant access for three users so that they can view and edit table data on a Cloud Spanner instance. What should you do?

• A.Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to a new group. Add the group to the role.
• B.Run gcloud iam roles describe roles/spanner.viewer - -project my-project. Add the users to a new group. Add the group to the role.
• C.Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to the role.
• D.Run gcloud iam roles describe roles/spanner.viewer - -project my-project. Add the users to the role.

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You have an application running in Google Kubernetes Engine (GKE) with cluster autoscaling enabled. The application exposes a TCP endpoint. There are several replicas of this application.
You have a Compute Engine instance in the same region, but in another Virtual Private Cloud (VPC), called gce- , that has no overlapping IP ranges with the first VPC. This instance needs to connect to the network application on GKE. You want to minimize effort. What should you do?

• A.1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
  2. Set the service's externalTrafficPolicy to Cluster.
  3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
• B.1. In GKE, create a Service of type NodePort that uses the application's Pods as backend.
  2. Create a Compute Engine instance called proxy with 2 network interfaces, one in each VPC.
  3. Use iptables on this instance to forward traffic from gce-network to the GKE nodes.
  4. Configure the Compute Engine instance to use the address of proxy in gce-network as endpoint.
• C.1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
  2. Add an annotation to this service: cloud.google.com/load-balancer-type: Internal
  3. Peer the two VPCs together.
  4. Configure the Compute Engine instance to use the address of the load balancer that has been created.
• D.1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
  2. Add a Cloud Armor Security Policy to the load balancer that whitelists the internal IPs of the MIG's instances.
  3. Configure the Compute Engine instance to use the address of the load balancer that has been created.

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Your company has an existing GCP organization with hundreds of projects and a billing account. Your company recently acquired another company that also has hundreds of projects and its own billing account.
You would like to consolidate all GCP costs of both GCP organizations onto a single invoice. You would like to consolidate all costs as of tomorrow. What should you do?

• A.Link the acquired company's projects to your company's billing account.
• B.Configure the acquired company's billing account and your company's billing account to export the billing data into the same BigQuery dataset.
• C.Migrate the acquired company's projects into your company's GCP organization. Link the migrated projects to your company's billing account.
• D.Create a new GCP organization and a new billing account. Migrate the acquired company's projects and your company's projects into the new GCP organization and link the projects to the new billing account.

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