You want to establish a Compute Engine application in a single VPC across two regions. The application must communicate over VPN to an on-premises network. How should you deploy the VPN?

• A.Use VPC Network Peering between the VPC and the on-premises network.
• B.Expose the VPC to the on-premises network using IAM and VPC Sharing.
• C.Create a global Cloud VPN Gateway with VPN tunnels from each region to the on-premises peer gateway.
• D.Deploy Cloud VPN Gateway in each region. Ensure that each region has at least one VPN tunnel to the on-premises peer gateway.

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A development team at your company has created a dockerized HTTPS web application. You need to deploy the application on Google Kubernetes Engine (GKE) and make sure that the application scales automatically.
How should you deploy to GKE?

• A.Use the Horizontal Pod Autoscaler and enable cluster autoscaling. Use an Ingress resource to load- balance the HTTPS traffic.
• B.Use the Horizontal Pod Autoscaler and enable cluster autoscaling on the Kubernetes cluster. Use a Service resource of type LoadBalancer to load-balance the HTTPS traffic.
• C.Enable autoscaling on the Compute Engine instance group. Use an Ingress resource to load balance the HTTPS traffic.
• D.Enable autoscaling on the Compute Engine instance group. Use a Service resource of type LoadBalancer to load-balance the HTTPS traffic.

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You need to design a solution for global load balancing based on the URL path being requested. You need to ensure operations reliability and end-to-end in-transit encryption based on Google best practices.
What should you do?

• A.Create a cross-region load balancer with URL Maps.
• B.Create an HTTPS load balancer with URL maps.
• C.Create appropriate instance groups and instances. Configure SSL proxy load balancing.
• D.Create a global forwarding rule. Configure SSL proxy balancing.

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You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted. What should you do?

• A.Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
• B.Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
• C.Create a shutdown script and use it as the value for a new metadata entry with the key shutdown-script in the Cloud Platform Console when you create the new virtual machine instance.
• D.Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url

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

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