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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
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. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
C. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template
D. Delete the managed instance group and recreate it after updating the instance template

Answer: C

Explanation:
The best option for updating the instance template and minimizing disruption to the application and the number of pipeline runs is to set the create_before_destroy meta-argument to true in the lifecycle block on the instance template. The create_before_destroy meta-argument is a Terraform feature that specifies that a new resource should be created before destroying an existing one during an update. This way, you can avoid downtime and errors when updating a resource that is in use by another resource, such as an instance template that is used by a managed instance group. By setting the create_before_destroy meta-argument to true in the lifecycle block on the instance template, you can ensure that Terraform creates a new instance template with the updated machine type, updates the managed instance group to use the new instance template, and then deletes the old instance template.

NEW QUESTION # 33
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

A. Analyze the web proxy logs only and capture response time of each request.
B. Use current and historic Request Logs to trace customer interaction with the application.
C. Create new synthetic clients to simulate a user journey using the application.
D. Review current application metrics and add new ones as needed.
E. Modify the code to capture additional information for user interaction.

Answer: A,B

Explanation:
https://cloud.google.com/architecture/adopting-slos?hl=en

NEW QUESTION # 34
You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?

A. Scale the new Kubernetes Deployment to zero
B. Run the kubectl rollout undo command
C. Delete the new container image, and delete the running Pods
D. Update the Kubernetes Service to point to the previous Kubernetes Deployment

Answer: D

Explanation:
The best option for implementing the rollback actions is to update the Kubernetes Service to point to the previous Kubernetes Deployment. A Kubernetes Service is a resource that defines how to access a set of Pods. A Kubernetes Deployment is a resource that manages the creation and update of Pods. By using the blue
/green deployment methodology, you can create two Deployments, one for the current version (blue) and one for the new version (green), and use a Service to switch traffic between them. If you need to rollback, you can update the Service to point to the previous Deployment (blue) and stop sending traffic to the new Deployment (green).

NEW QUESTION # 35
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

A. Configure Access Context Manager to allow only these members to export logs.
B. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
C. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
D. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

Answer: B

Explanation:
Explanation/Reference: https://cloud.google.com/logging/docs/access-control

NEW QUESTION # 36
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

A. * In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.
* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
B. * In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.
* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.
C. * In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.
* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
D. * In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.
* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.

Answer: A

Explanation:
https://sre.google/workbook/implementing-slos/
https://cloud.google.com/architecture/adopting-slos/
Latency is commonly measured as a distribution. Given a distribution, you can measure various percentiles.
For example, you might measure the number of requests that are slower than the historical 99th percentile.

NEW QUESTION # 37
......

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