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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q107-Q112):

NEW QUESTION # 107
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using aCI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?

A. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
B. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template
C. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
D. Delete the managed instance group and recreate it after updating the instance template

Answer: B

NEW QUESTION # 108
Your organization wants to collect system logs that will be used to generate dashboards in Cloud Operations for their Google Cloud project. You need to configure all current and future Compute Engine instances to collect the system logs and you must ensure that the Ops Agent remains up to date. What should you do?

A. Use the gcloud CLI to create an Agent Policy.
B. Install the Ops Agent on the Compute Engine image by using a startup script
C. Select all VMs with an Agent status of Not detected on the Cloud Operations VMs dashboard Then select Install agents
D. Use the gcloud CLI to install the Ops Agent on each VM listed in the Cloud Asset Inventory

Answer: A

Explanation:
Explanation
The best option for configuring all current and future Compute Engine instances to collect system logs and ensure that the Ops Agent remains up to date is to use the gcloud CLI to create an Agent Policy. An Agent Policy is a resource that defines how Ops Agents are installed and configured on VM instances that match certain criteria, such as labels or zones. Ops Agents are software agents that collect metrics and logs from VM instances and send them to Cloud Operations products, such as Cloud Monitoring and Cloud Logging. By creating an Agent Policy, you can ensure that all current and future VM instances that match the policy criteria will have the Ops Agent installed and updated automatically. This way, you can collect system logs from all VM instances and use them to generate dashboards in Cloud Operations.

NEW QUESTION # 109
You use Cloud Build to build your application. You want to reduce the build time while minimizing cost and development effort. What should you do?

A. Use larger Cloud Build virtual machines (VMs) by using the machine-type option.
B. Run multiple Jenkins agents to parallelize the build.
C. Use multiple smaller build steps to minimize execution time.
D. Use Cloud Storage to cache intermediate artifacts.

Answer: C

NEW QUESTION # 110
You are the Site Reliability Engineer responsible for managing your company's data services and products. You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

A. Review the design of the product with the product development team to provide feedback early in the design phase.
B. When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performancemetrics with the product development team.
C. When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.
D. Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.

Answer: A

NEW QUESTION # 111
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

A. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
B. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.
C. Use Stackdriver Kubernetes Engine Monitoring.
D. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.

Answer: C

Explanation:
Explanation
https://cloud.google.com/anthos/clusters/docs/on-prem/1.7/concepts/logging-and-monitoring

NEW QUESTION # 112
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