PROFESSIONAL-CLOUD-DEVOPS-ENGINEER TEST DUMPS PDF, PROFESSIONAL-CLOUD-DEVOPS-ENGINEER UPDATED DEMO

Professional-Cloud-DevOps-Engineer Test Dumps Pdf, Professional-Cloud-DevOps-Engineer Updated Demo

Professional-Cloud-DevOps-Engineer Test Dumps Pdf, Professional-Cloud-DevOps-Engineer Updated Demo

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q55-Q60):

NEW QUESTION # 55
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 a CI/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. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
  • B. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template
  • C. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
  • D. Delete the managed instance group and recreate it after updating the instance template

Answer: B

Explanation:
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 # 56
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new.
customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

  • A. Engineering Lead
  • B. Customer Impact Assessor
  • C. External Customer Communications Lead
  • D. Operations Lead
  • E. Communications Lead

Answer: D,E

Explanation:
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)." The Operations Lead is responsible for managing the operational aspects of the incident, such as deploying fixes, rolling back changes, or restoring backups. The External Customer Communications Lead is not a standard role in incident response, but it could be delegated by the Communications Lead if needed.


NEW QUESTION # 57
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

  • A. * Deploy the Stackdriver logging agent to the application servers.
    * Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
  • B. * Install the gsutil command line tool on your application servers.
    * Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
    * Give the developers the IAM Object Viewer access to view the logs in the specified bucket.
  • C. * Deploy the Stackdriver logging agent to the application servers.
    * Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
  • D. * Deploy the Stackdriver monitoring agent to the application servers.
    * Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.

Answer: A


NEW QUESTION # 58
Your organization stores all application logs from multiple Google Cloud projects in a central Cloud Logging project. Your security team wants to enforce a rule that each project team can only view their respective logs, and only the operations team can view all the logs. You need to design a solution that meets the security team's requirements, while minimizing costs. What should you do?

  • A. Create Identity and Access Management (IAM) roles for each project team and restrict access to the _ Default log view in their individual Google Cloud project. Grant viewer access to the operations team in the central logging project.
  • B. Create log views for each project team, and only show each project team their application logs. Grant the operations team access to the _ Al Il-jogs View in the central logging project.
  • C. Export logs to BigQuery tables for each project team. Grant project teams access to their tables. Grant logs writer access to the operations team in the central logging project.
  • D. Grant each project team access to the project _ Default view in the central logging project. Grant logging viewer access to the operations team in the central logging project.

Answer: B

Explanation:
Create log views for each project team, and only show each project team their application logs. Grant the operations team access to the _AllLogs View in the central logging project1.
This approach aligns with the Google Cloud's recommended methodologies for Professional Cloud DevOps Engineers1. Log views allow you to create and manage access control at a finer granularity for your logs. By creating a separate log view for each project team, you can ensure that they only have access to their respective logs. The operations team, on the other hand, can be granted access to the _AllLogs view in the central logging project, allowing them to view all logs as required.
This solution not only meets the security team's requirements but also minimizes costs as it leverages built-in features of Google Cloud's logging and does not require exporting logs to another service like BigQuery (as suggested in option A), which could incur additional costs1.


NEW QUESTION # 59
You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application's functionality - a data intensive reporting feature - is consistently failing with an HTTP 500 error. When you investigate your application's dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend's persistent disk (PD). How you need to create an availability Service Level Indicator (SLI) for the report generation feature. How would you define it?

  • A. As the reporting backend PD throughout capacity compared to a known-good threshold
  • B. As the proportion of report generation requests that result in a successful response
  • C. As the I/O wait times aggregated across all report generation backends
  • D. As the application's report generation queue size compared to a known-good threshold

Answer: B

Explanation:
According to SRE Workbook, one of potential SLI is as below:
* Type of service: Request-driven
* Type of SLI: Availability
* Description: The proportion of requests that resulted in a successful response.
https://sre.google/workbook/implementing-slos/


NEW QUESTION # 60
......

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