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(You are migrating your on-premises workload to Google Cloud. Your company is implementing its Cloud Billing configuration and requires access to a granular breakdown of its Google Cloud costs. You need to ensure that the Cloud Billing datasets are available in BigQuery so you can conduct a detailed analysis of costs. What should you do?)

A.

Enable the BigQuery API and ensure that the BigQuery User IAM role is selected. Change the BigQuery dataset to select a data location.

B.

Create a Cloud Billing account. Enable the BigQuery Data Transfer Service API to export pricing data.

C.

Enable Cloud Billing data export to BigQuery when you create a Cloud Billing account.

D.

Enable Cloud Billing on the project and link a Cloud Billing account. Then view the billing data table in the BigQuery dataset.

You need to create and manage service accounts for your workloads running on Google Cloud. You want to follow Google-recommended practices. What should you do?

Choose 2 answers

A.

Create as few service accounts as possible.

B.

Delete any unused service accounts immediately.

C.

Create single-purpose service accounts.

D.

Manage service accounts as resources.

E.

Use random names for the service accounts.

Your team is building a website that handles votes from a large user population. The incoming votes will arrive at various rates. You want to optimize the storage and processing of the votes. What should you do?

A.

Save the incoming votes to Firestore. Use Cloud Scheduler to trigger a Cloud Functions instance to periodically process the votes.

B.

Use a dedicated instance to process the incoming votes. Send the votes directly to this instance.

C.

Save the incoming votes to a JSON file on Cloud Storage. Process the votes in a batch at the end of the day.

D.

Save the incoming votes to Pub/Sub. Use the Pub/Sub topic to trigger a Cloud Functions instance to process the votes.

You have developed a web application that serves traffic for a local event and are expecting unpredictable traffic. You have containerized the application, and you now want to deploy the application on Google Cloud. You also want to minimize costs. What should you do?

A.

Deploy the web application as a Cloud Run service.

B.

Deploy the web application on Google Kubernetes Engine In Standard mode.

C.

Deploy the web application as a Cloud Run job.

D.

Deploy the web application on Google Kubernetes Engine in Autopilot mode.

You have production and test workloads that you want to deploy on Compute Engine. Production VMs need to be in a different subnet than the test VMs. All the VMs must be able to reach each other over internal IP without creating additional routes. You need to set up VPC and the 2 subnets. Which configuration meets these requirements?

A.

Create a single custom VPC with 2 subnets. Create each subnet in a different region and with a different CIDR range.

B.

Create a single custom VPC with 2 subnets. Create each subnet in the same region and with the same CIDR range.

C.

Create 2 custom VPCs, each with a single subnet. Create each subnet is a different region and with a different CIDR range.

D.

Create 2 custom VPCs, each with a single subnet. Create each subnet in the same region and with the same CIDR range.

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?

A.

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

B.

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

C.

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

D.

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

You need to select and configure compute resources for a set of batch processing jobs. These jobs take around 2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A.

Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.

B.

Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.

C.

Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.

D.

Select Compute Engine. Use VM instance types that support micro bursting.

You need to immediately change the storage class of an existing Google Cloud bucket. You need to reduce service cost for infrequently accessed files stored in that bucket and for all files that will be added to that bucket in the future. What should you do?

A.

Use the gsutil to rewrite the storage class for the bucket Change the default storage class for the bucket

B.

Use the gsutil to rewrite the storage class for the bucket Set up Object Lifecycle management on the bucket

C.

Create a new bucket and change the default storage class for the bucket Set up Object Lifecycle management on lite bucket

D.

Create a new bucket and change the default storage class for the bucket import the files from the previous bucket into the new bucket