信頼的-権威のあるProfessional-Cloud-DevOps-Engineer資格問題集試験-試験の準備方法Professional-Cloud-DevOps-Engineer受験方法

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Google Professional-Cloud-DevOps-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:	Professional-Cloud-DevOps-Engineer
Related Certifications:	Google Cloud Professional Cloud Developer Google Cloud Professional Cloud Architect Google Cloud Associate Cloud Engineer
Passing Score:	70%
Exam Format:	Multiple Choice, Multiple Select
Real Exam Qty:	50
Exam Price:	$200 USD
Exam Duration:	120 minutes
Certificate Validity Period:	2 years
Available Languages:	Portuguese, English, Spanish, Japanese
Sample Questions:	Google Professional-Cloud-DevOps-Engineer Sample Questions
Exam Way:	Online proctored exam available through Pearson VUE or online proctoring. In-person testing at Kryterion test centers also available.
Pre Condition:	Recommended: Associate Cloud Engineer certification and 3+ years industry experience including 1+ years Google Cloud experience. No mandatory prerequisites required.
Official Syllabus URL:	https://cloud.google.com/certification/cloud-devops-engineer

>> Professional-Cloud-DevOps-Engineer資格問題集 <<

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q66-Q71):

質問 # 66
Your team is writing a postmortem after an incident on your external facing application Your team wants to improve the postmortem policy to include triggers that indicate whether an incident requires a postmortem Based on Site Reliability Engineenng (SRE) practices, what triggers should be defined in the postmortem policy?
Choose 2 answers

A. An external stakeholder asks for a postmortem
B. An internal stakeholder requests a postmortem
C. The monitoring system detects that one of the instances for your application has failed
D. Data is lost due to an incident
E. The CD pipeline detects an issue and rolls back a problematic release.

正解：A、B

解説：
Explanation
The best options for defining triggers that indicate whether an incident requires a postmortem based on Site Reliability Engineering (SRE) practices are an external stakeholder asks for a postmortem and data is lost due to an incident. An external stakeholder is someone who is affected by or has an interest in the service, such as a customer or a partner. If an external stakeholder asks for a postmortem, it means that they are concerned about the impact or root cause of the incident, and they expect an explanation and remediation from the service provider. Therefore, this should trigger a postmortem to address their concerns and improve their satisfaction. Data loss is a serious consequence of an incident that can affect the integrity and reliability of the service. If data is lost due to an incident, it means that there was a failure in the backup or recovery mechanisms, or that there was a corruption or deletion of data. Therefore, this should trigger a postmortem to investigate the cause and impact of the data loss, and to prevent it from happening again.

質問 # 67
Your company is using HTTPS requests to trigger a public Cloud Run-hosted service accessible at the
https://booking-engine-abcdef .a.run.app URL You need to give developers the ability to test the latest revisions of the service before the service is exposed to customers What should you do?

A. Runthegcioud run services update-traffic booking-engine -to-revisions LATEST*! command Use the ht tps: //booking-engine-abcdef. a. run. ape URL for testing
B. Grant the roles/run. invoker role to the developers testing the booking-engine service Use the https:
//booking-engine-abcdef. private. run. app URL for testing
C. Pass the curl -K "Authorization: Hearer S(gclcud auth print-identity-token)" auth token Use the https: /
/booking-engine-abcdef. a. run. app URL to test privately
D. Runthegcioud run deploy booking-engine -no-traffic --ag dev command Use the https://dev---- booking-engine-abcdef. a. run. app URL for testing

正解：A

解説：
The best option for securing the CI/CD deployment pipeline is to configure vulnerability analysis with Artifact Registry and Binary Authorization. Vulnerability analysis is a feature that allows you to scan container images for known vulnerabilities and security issues. You can use vulnerability analysis with Artifact Registry, which is a service that allows you to store and manage container images and other artifacts.
By using vulnerability analysis with Artifact Registry, you can ensure that your container images are scanned for vulnerabilities before they are deployed. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization with Cloud Build, which is a service that allows you to build and deploy container images. By using Binary Authorization with Cloud Build, you can ensure that only authorized and verified container images are deployed to your environment.

質問 # 68
You are creating Cloud Logging sinks to export log entries from Cloud Logging to BigQuery for future analysis Your organization has a Google Cloud folder named Dev that contains development projects and a folder named Prod that contains production projects Log entries for development projects must be exported to dev_dataset. and log entries for production projects must be exported to prod_datasetYou need to minimize the number of log sinks created and you want to ensure that the log sinks apply to future projects What should you do?

A. Create an aggregated Iog sink in the Dev and Prod folders
B. Create a single aggregated log sink at the organization level.
C. Create two aggregated log sinks at the organization level, and filter by project ID
D. Create a log sink in each project

正解：B

解説：
The best option for minimizing the number of log sinks created and ensuring that the log sinks apply to future projects is to create an aggregated log sink in the Dev and Prod folders. An aggregated log sink is a log sink that collects logs from multiple sources, such as projects, folders, or organizations. By creating an aggregated log sink in each folder, you can export log entries for development projects to dev_dataset and log entries for production projects to prod_dataset. You can also use filters to specify which logs you want to export.
Additionally, by creating an aggregated log sink at the folder level, you can ensure that the log sink applies to future projects that are created under that folder.

質問 # 69
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

A. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
B. Use an Admission Controller to verify that incoming requests originate from approved sources.
C. Configure the build system with protected branches that require pull request approval.
D. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.

正解：A

解説：
The keywords here is "developers or operators". Option A the operators could push images to production without approval (operators could touch the cluster directly and the cluster cannot do any action against them). Rest same as francisco_guerra.

質問 # 70
You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub. You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?

A. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
B. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
C. Disable the CI pipeline and revert to manually building and pushing the artifacts.
D. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.

正解：B

質問 # 71
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信頼的-権威のあるProfessional-Cloud-DevOps-Engineer資格問題集試験-試験の準備方法Professional-Cloud-DevOps-Engineer受験方法

Google Professional-Cloud-DevOps-Engineer Exam Overview:

最新のProfessional-Cloud-DevOps-Engineer資格問題集 & 合格スムーズProfessional-Cloud-DevOps-Engineer受験方法 | 有効的なProfessional-Cloud-DevOps-Engineer専門知識内容 Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q66-Q71):