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[General] Professional-Cloud-DevOps-Engineer Training For Exam & Professional-Cloud-De

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【General】 Professional-Cloud-DevOps-Engineer Training For Exam & Professional-Cloud-De

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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam tests the candidate's ability to design, implement, and manage a DevOps culture on the Google Cloud platform. Professional-Cloud-DevOps-Engineer Exam covers a wide range of topics, including infrastructure automation, configuration management, continuous integration and delivery, monitoring and logging, and incident management. Candidates are also expected to have hands-on experience with Google Cloud tools such as Kubernetes, Terraform, and Cloud Build.
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To be eligible for the Google Professional-Cloud-DevOps-Engineer certification exam, candidates should have at least three years of experience in software development, infrastructure management, and operations. They should also have a solid understanding of cloud technologies and DevOps practices, as well as experience in designing and implementing cloud-based solutions.
Google Professional-Cloud-DevOps-Engineer certification exam is a rigorous and comprehensive assessment of the candidate's skills and knowledge in cloud DevOps engineering. It covers a wide range of topics, including cloud infrastructure automation, containerization, CI/CD pipelines, monitoring and logging, security and compliance, and more. Professional-Cloud-DevOps-Engineer Exam is designed to test the candidate's ability to design, implement, and manage cloud-based DevOps solutions that meet the needs of modern organizations.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q158-Q163):NEW QUESTION # 158
You need to enforce several constraint templates across your Google Kubernetes Engine (GKE) clusters. The constraints include policy parameters, such as restricting the Kubernetes API. You must ensure that the policy parameters are stored in a GitHub repository and automatically applied when changes occur. What should you do?
  • A. Configure Config Connector with the GitHub repository. When there is a change in the repository, use Config Connector to apply the change.
  • B. Set up a GitHub action to trigger Cloud Build when there is a parameter change. In Cloud Build, run a gcloud CLI command to apply the change.
  • C. Configure Anthos Config Management with the GitHub repository. When there is a change in the repository, use Anthos Config Management to apply the change.
  • D. When there is a change in GitHub, use a web hook to send a request to Anthos Service Mesh, and apply the change.
Answer: C
Explanation:
The correct answer is C. Configure Anthos Config Management with the GitHub repository. When there is a change in the repository, use Anthos Config Management to apply the change.
According to the web search results, Anthos Config Management is a service that lets you manage the configuration of your Google Kubernetes Engine (GKE) clusters from a single source of truth, such as a GitHub repository1. Anthos Config Management can enforce several constraint templates across your GKE clusters by using Policy Controller, which is a feature that integrates the Open Policy Agent (OPA) Constraint Framework into Anthos Config Management2. Policy Controller can apply constraints that include policy parameters, such as restricting the Kubernetes API3. To use Anthos Config Management and Policy Controller, you need to configure them with your GitHub repository and enable the sync mode4. When there is a change in the repository, Anthos Config Management will automatically sync and apply the change to your GKE clusters5.
The other options are incorrect because they do not use Anthos Config Management and Policy Controller.
Option A is incorrect because it uses a GitHub action to trigger Cloud Build, which is a service that executes your builds on Google Cloud Platform infrastructure6. Cloud Build can run a gcloud CLI command to apply the change, but it does not use Anthos Config Management or Policy Controller. Option B is incorrect because it uses a web hook to send a request to Anthos Service Mesh, which is a service that provides a uniform way to connect, secure, monitor, and manage microservices on GKE clusters7. Anthos Service Mesh can apply the change, but it does not use Anthos Config Management or Policy Controller. Option D is incorrect because it uses Config Connector, which is a service that lets you manage Google Cloud resources through Kubernetes configuration. Config Connector can apply the change, but it does not use Anthos Config Management or Policy Controller.
Reference:
Anthos Config Management documentation, Overview. Policy Controller, Policy Controller. Constraint template library, Constraint template library. Installing Anthos Config Management, Installing Anthos Config Management. Syncing configurations, Syncing configurations. Cloud Build documentation, Overview.
Anthos Service Mesh documentation, Overview. [Config Connector documentation], Overview.

NEW QUESTION # 159
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)
  • A. Your opinion of the incident's severity compared to past incidents
  • B. A list of action items to prevent a recurrence of the incident
  • C. Copies of the design documents for all the services impacted by the incident
  • D. An explanation of the root cause of the incident
  • E. A list of employees responsible for causing the incident
Answer: D,E

NEW QUESTION # 160
Your organization is using Helm to package containerized applications Your applications reference both public and private charts Your security team flagged that using a public Helm repository as a dependency is a risk You want to manage all charts uniformly, with native access control and VPC Service Controls What should you do?
  • A. Configure a Helm chart repository server to run in Google Kubernetes Engine (GKE) with Cloud Storage bucket as the storage backend
  • B. Store public and private charts by using GitHub Enterprise with Google Workspace as the identity provider
  • C. Store public and private charts in OCI format by using Artifact Registry
  • D. Store public and private charts by using Git repository Configure Cloud Build to synchronize contents of the repository into a Cloud Storage bucket Connect Helm to the bucket by using https: // [bucket]
    .srorage.googleapis.com/ [holnchart] as the Helm repository
Answer: C
Explanation:
Explanation
The best option for managing all charts uniformly, with native access control and VPC Service Controls is to store public and private charts in OCI format by using Artifact Registry. Artifact Registry is a service that allows you to store and manage container images and other artifacts in Google Cloud. Artifact Registry supports OCI format, which is an open standard for storing container images and other artifacts such as Helm charts. You can use Artifact Registry to store public and private charts in OCI format and manage them uniformly. You can also use Artifact Registry's native access control features, such as IAM policies and VPC Service Controls, to secure your charts and control who can access them.

NEW QUESTION # 161
Your development team has created a new version of their service's API. You need to deploy the new versions of the API with the least disruption to third-party developers and end users of third-party installed applications.
What should you do?
  • A. Announce deprecation of the old version of the API.
    Introduce the new version of the API.
    Contact remaining users on the old API.
    Deprecate the old version of the API.
    Turn down the old version of the API.
    Provide best effort support to users of the old API.
  • B. Introduce the new version of the API.
    Contact remaining users of the old API.
    Announce deprecation of the old version of the API.
    Deprecate the old version of the API.
    Turn down the old version of the API.
    Provide best effort support to users of the old API.
  • C. Announce deprecation of the old version of the API.
    Contact remaining users on the old API.
    Introduce the new version of the API.
    Deprecate the old version of the API.
    Provide best effort support to users of the old API.
    Turn down the old version of the API.
  • D. Introduce the new version of the API.
    Announce deprecation of the old version of the API.
    Deprecate the old version of the API.
    Contact remaining users of the old API.
    Provide best effort support to users of the old API.
    Turn down the old version of the API.
Answer: D

NEW QUESTION # 162
Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?
  • A. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
  • B. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
  • C. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
  • D. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
Answer: B
Explanation:
The easiest way to collect detailed metrics such as system resource utilization is to import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis. This way, you can use centralized GCP services without modifying your code or setting up additional tools.

NEW QUESTION # 163
......
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