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The Google Professional-Cloud-DevOps-Engineer Exam consists of multiple-choice questions that test the candidate's knowledge and understanding of various cloud computing concepts and tools. Professional-Cloud-DevOps-Engineer exam is designed to assess the candidate's ability to design and implement scalable and secure cloud solutions using best practices and industry standards. Professional-Cloud-DevOps-Engineer exam takes approximately two hours to complete, and candidates must achieve a passing score of 70% or higher to receive certification. The Google Professional-Cloud-DevOps-Engineer certification is a valuable credential for professionals who want to demonstrate their expertise in cloud DevOps engineering and advance their careers in this field.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q16-Q21):

NEW QUESTION # 16
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

A. MTTD:5
MTTR: 10
MTBF: 90
Impact 50%
B. MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33%
C. MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%
D. MTTD:5
MTTR: 20
MTBF: 90
Impact: 50%

Answer: C

Explanation:
https://www.atlassian.com/incident-management/kpis/common-metrics
https://linkedin.github.io/school-of-sre/

NEW QUESTION # 17
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. Disable the CI pipeline and revert to manually building and pushing the artifacts.
B. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
C. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
D. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.

Answer: B

Explanation:
"After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline"- means something wrong on the recent change not with the image registry.

NEW QUESTION # 18
Your company runs services on Google Cloud. Each team runs their applications in a dedicated project. New teams and projects are created regularly. Your security team requires that all logs are processed by a security information and event management (SIEM) system. The SIEM ingests logs by using Pub/Sub. You must ensure that all existing and future logs are scanned by the SIEM. What should you do?

A. Create an organization-level aggregated sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs.
B. Create a project-level logging sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs. Repeat for each project.
C. Create an organization-level aggregated sink with a SIEM log bucket as the destination. Set an inclusion filter to include all logs.
D. Create a folder-level aggregated sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs. Repeat for each folder.

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
To ensure all logs (existing and future) are automatically processed by the SIEM system, the best approach is:
Use an organization-level aggregated sink # Captures logs from all existing and future projects automatically.
Send logs to a Pub/Sub topic # Since the SIEM ingests logs via Pub/Sub, this ensures logs are streamed in real- time.
Set an inclusion filter # To capture all logs needed by the security team.
#Why not other options?
B (Project-level logging sink)## Requires manual setup per project, which doesn't scale for new projects.
C (Log bucket instead of Pub/Sub)## SIEM is expecting real-time log ingestion via Pub/Sub, not a storage- based approach.
D (Folder-level logging sink)## Only applies to specific folders, not the entire organization.
#Official Reference:
Aggregated Sinks for Cloud Logging
Exporting Logs to SIEM via Pub/Sub

NEW QUESTION # 19
Your company runs services on Google Cloud. Each team runs their applications in a dedicated project. New teams and projects are created regularly. Your security team requires that all logs are processed by a security information and event management (SIEM) system. The SIEM ingests logs by using Pub/Sub. You must ensure that all existing and future logs are scanned by the SIEM. What should you do?

A. Create an organization-level aggregated sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs.
B. Create a project-level logging sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs. Repeat for each project.
C. Create an organization-level aggregated sink with a SIEM log bucket as the destination. Set an inclusion filter to include all logs.
D. Create a folder-level aggregated sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs. Repeat for each folder.

Answer: A

NEW QUESTION # 20
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices. What should you do? (Choose two.)

A. Get the product team to prioritize reliability work over new features.
B. Shift engineering time to other services that need more reliability.
C. Increase the service's deployment velocity and/or risk.
D. Make the service's SLO more strict.
E. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.

Answer: B,C

Explanation:
(https://sre.google/workbook/implementing-slos/#slo-decision-matrix)

NEW QUESTION # 21
......

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