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NEW QUESTION 38
You have been asked to create robust Virtual Private Network (VPN) connectivity between a new Virtual Private Cloud (VPC) and a remote site. Key requirements include dynamic routing, a shared address space of
10.19.0.1/22, and no overprovisioning of tunnels during a failover event. You want to follow Google-recommended practices to set up a high availability Cloud VPN. What should you do?

A. Use a custom mode VPC network use Cloud Router border gateway protocol (86P) routes, and use active/passive routingB. Use a custom mode VPC network, configure static routes, and use active/passive routingC. Use an automatic mode VPC network, configure static routes, and use active/active routingD. Use an automatic mode VPC network, use Cloud Router border gateway protocol (BGP) routes and configure policy-based routing

Answer: D

 

NEW QUESTION 39
You have a batch workload that runs every night and uses a large number of virtual machines (VMs). It is fault-tolerant and can tolerate some of the VMs being terminated. The current cost of VMs is too high.
What should you do?

A. Run a test using N1 standard VMs instead of N2.
If the test is successful, use N1 Standard VMs when running future jobs.B. Run a test using simulated maintenance events.
If the test is successful, use preemptible N1 Standard VMs when running future jobs.C. Run a test using simulated maintenance events.
If the test is successful, use N1 Standard VMs when running future jobs.D. Run a test using a managed instance group.
If the test is successful, use N1 Standard VMs in the managed instance group when running future jobs.

Answer: C

Explanation:
https://cloud.google.com/compute/vm-instance-pricing

 

NEW QUESTION 40
You want to deploy an application on Cloud Run that processes messages from a Cloud Pub/Sub topic. You want to follow Google-recommended practices. What should you do?

A. 1. Create a service account.
2. Give the Cloud Run Invoker role to that service account for your Cloud Run application.
3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.B. 1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal.
2. Create a Cloud Pub/Sub subscription for that topic.
3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application.C. 1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic.
2. Call your application on Cloud Run from the Cloud Function for every message.D. 1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run.
2. Create a Cloud Pub/Sub subscription for that topic.
3. Make your application pull messages from that subscription.

Answer: A

 

NEW QUESTION 41
You are building a new version of an application hosted in an App Engine environment. You want to test the new version with 1% of users before you completely switch your application over to the new version. What should you do?

A. Deploy a new version as a separate app in App Engine. Then configure App Engine using GCP Console to split traffic between the two apps.B. Deploy a new version of your application in App Engine. Then go to App Engine settings in GCP Console and split traffic between the current version and newly deployed versions accordingly.C. Deploy a new version of your application in Google Kubernetes Engine instead of App Engine and then use GCP Console to split traffic.D. Deploy a new version of your application in a Compute Engine instance instead of App Engine and then use GCP Console to split traffic.

Answer: B

 

NEW QUESTION 42
You are operating a Google Kubernetes Engine (GKE) cluster for your company where different teams can run non-production workloads. Your Machine Learning (ML) team needs access to Nvidia Tesla P100 GPUs to train their models. You want to minimize effort and cost. What should you do?

A. Ask your ML team to add the "accelerator: gpu" annotation to their pod specification.B. Create your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs.
Dedicate this cluster to your ML team.C. Add a new, GPU-enabled, node pool to the GKE cluster. Ask your ML team to add the cloud.google.com/gke -accelerator: nvidia-tesla-p100 nodeSelectorto their pod specification.D. Recreate all the nodes of the GKE cluster to enable GPUs on all of them.

Answer: C

Explanation:
Before using GPUs on GKE, keep in mind the following limitations:
You cannot add GPUs to existing node pools.
GPU nodes cannot be live migrated during maintenance events.
https://cloud.google.com/kubernetes-engine/docs/how-to/gpus

 

NEW QUESTION 43
......

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