ACE-3

Your application is running on Google Cloud in a managed instance group (MIG). Cloud logging for one VM shows errors that one of the processes is not responding. In the MIG. You want to replace this VM in the MIG quickly. What are you supposed to do?

• Use the gcloud compute instances update command with a REFRESH action for the VM.

• Use the gcloud compute instance-groups managed recreate-instances command to recreate the VM.

• Select the MIG from the Compute Engine console and, in the menu, select Replace VMs.

• • Update and apply the instance template of the MIG.

  
  

You want to permanently delete a Pub/Sub topic managed by Config Connector in your Google Cloud project. What are you supposed to be doing?

• Use kubectl to create the label deleted-by-cnrm and to change its value to true for the topic resource.

• Use kubectl to delete the topic resource.

• Use gcloud CLI to delete the topic.

• • Use gcloud CLI to update the topic label managed-by-cnrm to false.

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You are managing your employees' accounts through Google Workspace. In the next two years, expected growth will increase staff numbers from 100 to 1 000. Access to Google Cloud accounts for the majority of your employees will be required. The systems and processes will need to support 10x growth without performance degradation, unnecessary complexity, or security issues. What should you do?

• Migrate the users to Active Directory. Connect the Human Resources system to Active Directory. Turn on Google Cloud Directory Sync (GCDS) for Cloud Identity. Turn on Identity Federation from Cloud Identity to Active Directory.

• Organize the users in Cloud Identity into groups. Enforce multi-factor authentication in Cloud Identity.

• Turn on identity federation between Cloud Identity and Google Workspace. Enforce multi-factor authentication for domain wide delegation.

• Use a third-party identity provider service through federation. Synchronize the users from Google Workplace to the third-party provider in real time.

You'd like your video encoding software to be hosted on the Compute Engine. Your user base is growing rapidly and users need to be able to encode their videos at all times without interruption or CPU restrictions. You must ensure that your encoding solution is highly available, and you want to follow Google-recommended practices to automate operations. What should you do?

• Deploy your solution on multiple standalone Compute Engine instances, and increase the number of existing instances when CPU utilization on Cloud Monitoring reaches a certain threshold.

• Deploy your solution on multiple standalone Compute Engine instances, and replace existing instances with high-CPU instances when CPU utilization on Cloud Monitoring reaches a certain threshold.

• Deploy your solution to an instance group, and increase the number of available instances whenever you see high CPU utilization in Cloud Monitoring.

• Deploy your solution to an instance group, and set the autoscaling based on CPU utilization.

Your managed instance group raised an alert stating that new instance creation has failed to create new instances. The problem of creating an instance needs to be resolved. What are you supposed to be doing?

• Create an instance template that contains valid syntax which will be used by the instance group. Delete any persistent disks with the same name as instance names.

• Create an instance template that contains valid syntax that will be used by the instance group. Verify that the instance name and persistent disk name values are not the same in the template.

• Verify that the instance template being used by the instance group contains valid syntax. Delete any persistent disks with the same name as instance names. Set the disks.autoDelete property to true in the instance template.

• Delete the current instance template and replace it with a new instance template. Verify that the instance name and persistent disk name values are not the same in the template. Set the disks.autoDelete property to true in the instance template.

You've created an application that will be attached to the Docker image. You're going to use Google Kubernetes to deploy the Docker image as a workload. Engine. What are you supposed to do?

• • Upload the image to Cloud Storage and create a Kubernetes Service referencing the image.

  
  

• • Upload the image to Cloud Storage and create a Kubernetes Deployment referencing the image.

  
  

• • Upload the image to Artifact Registry and create a Kubernetes Service referencing the image.

  
  

• Upload the image to Artifact Registry and create a Kubernetes Deployment referencing the image.

To view a table from your data warehouse that is compiled with BigQuery, you are using Looker Studio. During the day, data is added to the data warehouse. At night, an overwriting of the table recalculates the day's summaries. You just noticed that the charts in Looker Studio are broken, and you want to analyze the problem. What should you do?

• In Cloud Logging, create a filter for your Looker Studio report.

• Use the open source CLI tool, Snapshot Debugger, to find out why the data was not refreshed correctly.

• Review the Error Reporting page in the Google Cloud console to find any errors.

• Use the BigQuery interface to review the nightly job and look for any errors.

In several Google Cloud projects, you've set up a few resources. There are separate billing accounts for all projects. You want a uniform visual representation of all costs arising in order to be more accurate about future charges. You want to include new cost data as soon as possible. What should you do?

• Fill all resources in the Pricing Calculator to get an estimate of the monthly cost.

• Use the Reports view in the Cloud Billing Console to view the desired cost information.

• Visit the Cost Table page to get a CSV export and visualize it using Looker Studio.

• Configure Billing Data Export to BigQuery and visualize the data in Looker Studio.

You've got a batch of tasks that run every night and are using lots of virtual machines. It's capable of fault tolerance, and may allow certain VMs to be shut down. The current cost of VMs is too high. What should you do?

• Run a test using simulated maintenance events. If the test is successful, use Spot N2 Standard VMs when running future jobs.

• Run a test using simulated maintenance events. If the test is successful, use N2 Standard VMs when running future jobs.

• Run a test using a managed instance group. If the test is successful, use N2 Standard VMs in the managed instance group when running future jobs.

• Run a test using N1 standard VMs instead of N2. If the test is successful, use N1 Standard VMs when running future jobs.

There is a large amount of unstructured information in different file formats within your company. For the data, you want to perform ETL transformations. You need to make the data accessible on Google Cloud so it can be processed by a Dataflow job. What should you do?

• Upload the data to BigQuery using the bq command line tool.

• Upload the data to Cloud Storage using the gcloud storage command.

• Upload the data into Cloud SQL using the import function in the Google Cloud console.

• Upload the data into Cloud Spanner using the import function in the Google Cloud console.