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Question 28

You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

Options:

1. Update your instances’ metadata to add the following value: snapshot–schedule: 0 1 * * *

2. Update your instances’ metadata to add the following value: snapshot–retention: 30

1. In the Cloud Console, go to the Compute Engine Disks page and select your instance’s disk.

2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:

–Schedule frequency: Daily

–Start time: 1:00 AM – 2:00 AM

–Autodelete snapshots after 30 days

1. Create a Cloud Function that creates a snapshot of your instance’s disk.

2.Create a Cloud Function that deletes snapshots that are older than 30 days.

3.Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.

1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.

2.Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.

3.Configure the instance’s crontab to execute these scripts daily at 1:00 AM.

Question 29

You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible. What should you do?

Options:

Assign the pods of the image rendering microservice a higher pod priority than the older microservices

Create a node pool with compute-optimized machine type nodes for the image rendering microservice Use the node pool with general-purpose

machine type nodes for the other microservices

Use the node pool with general-purpose machine type nodes for lite mage rendering microservice Create a nodepool with compute-optimized machine type nodes for the other microservices

Configure the required amount of CPU and memory in the resource requests specification of the image rendering microservice deployment Keep the resource requests for the other microservices at the default

Question 30

You deployed a new application inside your Google Kubernetes Engine cluster using the YAML file specified below.

You check the status of the deployed pods and notice that one of them is still in PENDING status:

You want to find out why the pod is stuck in pending status. What should you do?

Options:

Review details of the myapp-service Service object and check for error messages.

Review details of the myapp-deployment Deployment object and check for error messages.

Review details of myapp-deployment-58ddbbb995-lp86m Pod and check for warning messages.

View logs of the container in myapp-deployment-58ddbbb995-lp86m pod and check for warning messages.

Question 31

Your company requires that Google Cloud products are created with a specific configuration to comply with your company's security policies You need to implement a mechanism that will allow software engineers at your company to deploy and update Google Cloud products in a preconfigured and approved manner. What should you do?

Options:

Create Java packages that utilize the Google Cloud Client Libraries for Java to configure Google Cloud products. Store and share the packages in a source code repository.

Create bash scripts that utilize the Google Cloud CLI to configure Google Cloud products. Store and share the bash scripts in a source code repository.

Create Terraform modules that utilize the Google Cloud Terraform Provider to configure Google Cloud products. Store and share the modules in a source code repository.

Use the Google Cloud APIs by using curl to configure Google Cloud products. Store and share the curl commands in a source code repository.

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