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Google Professional-Cloud-DevOps-Engineer Certification is a comprehensive exam that evaluates the candidate's practical skills in the field of cloud computing and DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is designed for professionals who have a good understanding of DevOps practices and tools, and can implement them in the GCP environment. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is recognized globally and provides a competitive advantage to the candidates in the job market.

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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam covers a wide range of topics, including cloud computing fundamentals, GCP architecture, infrastructure and platform services, DevOps principles, and best practices for deploying and maintaining applications on GCP. Professional-Cloud-DevOps-Engineer Exam consists of multiple-choice questions and requires candidates to demonstrate their knowledge and understanding of these topics.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
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. Configure the build system with protected branches that require pull request approval.
B. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
C. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
D. Use an Admission Controller to verify that incoming requests originate from approved sources.

Answer: C

Explanation:
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.

NEW QUESTION # 21
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application.
Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the
90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

A. 90th percentile - 250ms
95th percentile - 400ms
B. 90th percentile - 120ms
95th percentile - 275ms
C. 90th percentile - 100ms
95th percentile - 250ms
D. 90th percentile - 150ms
95th percentile - 300ms

Answer: D

Explanation:
Explanation
https://sre.google/sre-book/service-level-objectives/

NEW QUESTION # 22
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. 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.
B. Configure Config Connector with the GitHub repository. When there is a change in the repository, use Config Connector to apply the change.
C. When there is a change in GitHub, use a web hook to send a request to Anthos Service Mesh, and apply the change.
D. Configure Anthos Config Management with the GitHub repository. When there is a change in the repository, use Anthos Config Management to apply the change.

Answer: D

Explanation:
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.

NEW QUESTION # 23
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. An explanation of the root cause of the incident
B. A list of employees responsible for causing the incident
C. A list of action items to prevent a recurrence of the incident
D. Copies of the design documents for all the services impacted by the incident
E. Your opinion of the incident's severity compared to past incidents

Answer: A,B

NEW QUESTION # 24
You are building and deploying a microservice on Cloud Run for your organization Your service is used by many applications internally You are deploying a new release, and you need to test the new version extensively in the staging and production environments You must minimize user and developer impact. What should you do?

A. Deploy the new version of the service to the staging environment Split the traffic, and allow 50% of traffic through to the latest version Test the latest version If the test passes, send all traffic to the latest version Repeat for the production environment
B. Deploy a new environment with the green tag to use as the staging environment Deploy the new version of the service to the green environment and test the new version If the tests pass, send all traffic to the green environment and delete the existing staging environment Repeat for the production environment
C. Deploy the new version of the service to the staging environment Split the traffic, and allow 1 % of traffic through to the latest version Test the latest version If the test passes gradually roll out the latest version to the staging and production environments
D. Deploy the new version of the service to the staging environment with a new-release tag without serving traffic Test the new-release version If the test passes; gradually roll out this tagged version Repeat for the production environment

Answer: D

Explanation:
The best option for deploying a new release of your microservice on Cloud Run and testing it extensively in the staging and production environments with minimal user and developer impact is to deploy the new version of the service to the staging environment with a new-release tag without serving traffic, test the new-release version, and if the test passes, gradually roll out this tagged version. A tag is a label that you can assign to a revision of your service on Cloud Run. You can use tags to create different versions of your service without affecting traffic. You can also use tags to gradually roll out traffic to a new version of your service by using traffic splitting. This way, you can test your new release extensively in both environments and minimize user and developer impact.

NEW QUESTION # 25
......

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