Question 1

You have an application that is currently processing transactions by using a group of managed VM instances. You need to migrate the application so that it is serverless and scalable. You want to implement an asynchronous transaction processing system, while minimizing management overhead. What should you do?

Options :

A : Install Kafka on VM instances to acknowledge incoming transactions. Use Cloud Run to process transactions.

B : Install Kafka on VM Instances to acknowledge incoming transactions. Use VM Instances to process transactions.

C : Use Pub/Sub to acknowledge incoming transactions. Use VM instances to process transactions.

D : Use Pub/Sub to acknowledge incoming transactions. Use Cloud Run to process transactions.

Answer: D

Question 2

You have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster. Each microservice is a deployment with resource limits configured for each container in the deployment. You've observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?

Options :

A : Modify the cluster's node pool machine type and choose a machine type with more memory and CPU.

B : Configure a Horizontal Pod Autoscaler for each microservice.

C : Configure GKE cluster autoscaling.

D : Configure a Vertical Pod Autoscaler for each microservice.

Answer: C

Question 3

(You are managing an application deployed on Cloud Run. The development team has released a new version of the application. You want to deploy and redirect traffic to this new version of the application. To ensure traffic to the new version of the application is served with no startup time, you want to ensure that there are two idle instances available for incoming traffic before adjusting the traffic flow. You also want to minimize administrative overhead. What should you do?)

Options :

A : Ensure the checkbox "Serve this revision immediately" is unchecked when deploying the new revision. Before changing the traffic rules, use a traffic simulation tool to send load to the new revision.

B : Configure service autoscaling and set the minimum number of instances to 2.

C : Configure revision autoscaling for the new revision and set the minimum number of instances to 2.

D : Configure revision autoscaling for the existing revision and set the minimum number of instances to 2.

Answer: C

Question 4

You have an application on a general-purpose Compute Engine instance that is experiencing excessive disk read throttling on its Zonal SSD Persistent Disk. The application primarily reads large files from disk. The disk size is currently 350 GB. You want to provide the maximum amount of throughput while minimizing costs. What should you do?

Options :

A : Increase the size of the disk to 1 TB.

B : Increase the allocated CPU to the instance.

C : Migrate to use a Local SSD on the instance.

D : Migrate to use a Regional SSD on the instance.

Answer: C

Question 5

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?

Options :

A : 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.

B : 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.

C : 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.

D : 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.

Answer: C

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