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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q140-Q145):

NEW QUESTION # 140
You are designing a deployment technique for your applications on Google Cloud. As part Of your deployment planning, you want to use live traffic to gather performance metrics for new versions Of your applications. You need to test against the full production load before your applications are launched. What should you do?

A. Use A/B testing with blue/green deployment.
B. Use canary testing with rolling updates deployment,
C. Use shadow testing with continuous deployment.
D. Use canary testing with continuous deployment.

Answer: C

Explanation:
Explanation
The correct answer is B. Use shadow testing with continuous deployment.
Shadow testing is a deployment technique that involves routing a copy of the live traffic to a new version of the application, without affecting the production environment. This way, you can gather performance metrics and compare them with the current version, without exposing the new version to the users. Shadow testing can help you test against the full production load and identify any issues or bottlenecks before launching the new version. You can use continuous deployment to automate the process of deploying the new version after it passes the shadow testing.

NEW QUESTION # 141
You are leading a DevOps project for your organization. The DevOps team is responsible for managing the service infrastructure and being on-call for incidents. The Software Development team is responsible for writing, submitting, and reviewing code. Neither team has any published SLOs. You want to design a new joint-ownership model for a service between the DevOps team and the Software Development team. Which responsibilities should be assigned to each team in the new joint-ownership model?

A. DevOps team responsibilities
Manage the service infrastructure
Be on-call for incidents
Perform code reviews
Software Development team responsibilities
Submit code to be reviewed by the DevOps team
Publish the SLOs that the DevOps team must meet
B. DevOps team responsibilities
Shared responsibilities for code reviews
Software Development team responsibilities
Manage the service infrastructure
Be on-call for incidents on a rotation basis
Adopt and publish SLOs for the service
Submit code to be reviewed
C. DevOps team responsibilities
Manage the service infrastructure
Perform code reviews
Software Development team responsibilities
Submit code to be reviewed by the DevOps team
Be on-call for incidents
Publish the SLOs that the DevOps team must meet
D. DevOps team responsibilities
Manage the service infrastructure
Be on-call for incidents
Software Development team responsibilities
Adopt and publish SLOs for the service
Submit code to be reviewed
Shared responsibilities for code reviews

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
The best approach to a joint-ownership DevOps model follows SRE and DevOps best practices, where:
The DevOps team manages infrastructure and is on-call for incidents.
The Software Development team owns SLOs and submits code.
Code reviews should be a shared responsibility to ensure both teams maintain quality.
#Why not other options?
A (DevOps team reviewing all code)## Breaks DevOps best practices by making developers dependent on the DevOps team for code review.
B (DevOps does code reviews, developers handle incidents)## Developers should not handle on-call duties unless part of a shared rotation.
C (Developers manage infrastructure)## Developers should not be fully responsible for infrastructure.
#Official Reference:
SRE & DevOps Ownership Model
Shared Responsibility Model in Google Cloud

NEW QUESTION # 142
You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

A. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
B. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
C. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.
D. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.

Answer: A

Explanation:
Explanation
https://sre.google/workbook/implementing-slos/
In the SRE principles book, it's recommended treating the SLI as the ratio of two numbers: the number of good events divided by the total number of events. For example: Number of successful HTTP requests / total HTTP requests (success rate)

NEW QUESTION # 143
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 is Container Registry instead of Docker Hub.

Answer: D

NEW QUESTION # 144
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 internal stakeholder requests a postmortem
B. Data is lost due to an incident
C. An external stakeholder asks for a postmortem
D. The CD pipeline detects an issue and rolls back a problematic release.
E. The monitoring system detects that one of the instances for your application has failed

Answer: A,C

NEW QUESTION # 145
......

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