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To become a Certified Professional Cloud DevOps Engineer, the candidate must have a deep understanding of agile and DevOps methodologies, as well as proficiency in GCP services such as Kubernetes, Google Cloud Build, Google Cloud Functions, Google Cloud Monitoring, and more. Professional-Cloud-DevOps-Engineer Exam also tests the candidate's ability to design and implement continuous integration/continuous delivery (CI/CD) pipelines, automate infrastructure deployments, and monitor and optimize application performance using GCP tools.

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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam consists of multiple-choice and scenario-based questions that test the candidate's practical experience and knowledge of DevOps practices on the Google Cloud Platform. Professional-Cloud-DevOps-Engineer Exam is available in several languages, including English, Japanese, and Spanish, and is delivered through a secure online platform.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q205-Q210):

NEW QUESTION # 205
You are currently planning how to display Cloud Monitoring metrics for your organization's Google Cloud projects. Your organization has three folders and six projects:

You want to configure Cloud Monitoring dashboards lo only display metrics from the projects within one folder You need to ensure that the dashboards do not display metrics from projects in the other folders You want to follow Google-recommended practices What should you do?

A. Create a single new scoping project
B. Use the current app-one-prod project as the scoping project
C. Create new scoping projects for each folder
D. Use the current app-one-dev, app-one-staging and app-one-prod projects as the scoping project for each folder

Answer: A

Explanation:
The best option for configuring Cloud Monitoring dashboards to only display metrics from the projects within one folder is to create new scoping projects for each folder. A scoping project is a project that defines which resources are monitored by Cloud Monitoring. You can create new scoping projects for each folder by using the gcloud monitoring register-project command. This way, you can associate each scoping project with a folder and only monitor the resources within that folder. You can then configure Cloud Monitoring dashboards to use the scoping projects as data sources and only display metrics from the projects within one folder.

NEW QUESTION # 206
You are implementing a CI'CD pipeline for your application in your company s multi-cloud environment Your application is deployed by using custom Compute Engine images and the equivalent in other cloud providers You need to implement a solution that will enable you to build and deploy the images to your current environment and is adaptable to future changes Which solution stack should you use'?

A. Google Kubernetes Engine with Google Cloud Deploy
B. Cloud Build with Google Cloud Deploy
C. Cloud Build with Packer
D. Cloud Build with kpt

Answer: B

NEW QUESTION # 207
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. tcp_ssl_proxy/new_connections
B. flex/instance/connections/current
C. flex/connections/current
D. tcp_ssl_proxy/open_connections

Answer: C

Explanation:
https://cloud.google.com/monitoring/api/metrics_gcp#gcp-appengine

NEW QUESTION # 208
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. Delete the managed instance group and recreate it after updating the 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. Add a new instance template update the managed instance group to use the new instance template and delete the old 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 # 209
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 proportion of report generation requests that result in a successful response
B. As the I/O wait times aggregated across all report generation backends
C. As the reporting backend PD throughout capacity compared to a known-good threshold
D. As the application's report generation queue size compared to a known-good threshold

Answer: D

NEW QUESTION # 210
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