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Google Professional-Cloud-DevOps-Engineer certification exam is designed for professionals who want to demonstrate their expertise in using Google Cloud Platform to build and deploy highly scalable and reliable applications. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for DevOps engineers, site reliability engineers, and other IT professionals who are responsible for managing and deploying software applications in the cloud. Professional-Cloud-DevOps-Engineer Exam Tests your knowledge of various cloud technologies, tools, and best practices that are essential for DevOps professionals to master.

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Google Professional-Cloud-DevOps-Engineer exam focuses on various aspects of cloud-based DevOps engineering, including infrastructure deployment, automation, monitoring, and optimization. Professional-Cloud-DevOps-Engineer exam covers various topics, such as cloud computing concepts, containerization, continuous integration and deployment, and security principles. Professional-Cloud-DevOps-Engineer exam is intended to measure the candidate's ability to design, develop, and manage cloud-based solutions using best practices and industry standards.

Google Professional-Cloud-DevOps-Engineer Certification Exam consists of multiple-choice questions and scenario-based questions. Professional-Cloud-DevOps-Engineer exam is administered online and can be taken from anywhere in the world. Candidates must achieve a score of 70% or higher to pass the exam and earn the certification.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q111-Q116):

NEW QUESTION # 111
Your application images are built wing Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What would you do when you push the image?

A. Reference the image digest in the source control tag.
B. Supply the source control tag as a parameter within the image name.
C. Use Cloud Build to include the release version tag in the application image.
D. Use GCR digest versioning to match the image to the tag in source control.

Answer: C

NEW QUESTION # 112
You are responsible for creating development environments for your company's development team. You want to create environments with identical IDEs for all developers while ensuring that these environments are not exposed to public networks. You need to choose the most cost-effective solution without impacting developer productivity. What should you do?

A. Create a Cloud Workstations private cluster. Create a workstation configuration with an idleTimeout parameter.
B. Create a Cloud Workstations private cluster. Create a workstation configuration with a runningTimeout parameter.
C. Create multiple Compute Engine VM instances without an external IP address. Configure an instance schedule to shut down the VMs.
D. Create multiple Compute Engine VM instances with an external IP address and use a Public NAT gateway. Configure an instance schedule to shut down the VMs.

Answer: B

Explanation:
Comprehensive and Detailed 150 to 200 words of Explanation From Google Cloud DevOps guides documents:
According to Google Cloud's documentation on Cloud Workstations, this service is specifically designed to provide managed, secure, and highly customizable development environments. By selecting a private cluster, you ensure that the workstations are not assigned public IP addresses, keeping them entirely off the public internet and satisfying the security requirement. This managed approach is superior to manual Compute Engine setups because it uses container-based configurations to provide identical IDEs and toolsets to every developer, which eliminates environment drift and boosts productivity.
Regarding cost-effectiveness, the runningTimeout parameter is a vital mechanism. While idleTimeout is excellent for short-term inactivity, runningTimeout provides a definitive "hard stop" to ensure that workstations do not run indefinitely if a developer forgets to shut down their session at the end of a shift, thereby preventing runaway costs. This aligns with Google's SRE and DevOps best practices for cost optimization and resource management. Choosing Cloud Workstations over manual VM management (Options C and D) reduces the operational overhead of patching and maintaining individual machine images, allowing the team to focus on delivery rather than infrastructure maintenance.

NEW QUESTION # 113
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

A. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
B. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
C. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
D. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.

Answer: B

NEW QUESTION # 114
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster. The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

A. Configure your Kubernetes duster as a Private Cluster.
B. Configure a Google Cloud HTTP Load Balancer as Ingress.
C. Configure the VPC as a Shared VPC Host project.
D. Configure your network services on the Standard Tier.

Answer: B

Explanation:
Costs associated with a load balancer are charged to the project containing the load balancer components. Because of these benefits, container-native load balancing is the recommended solution for load balancing through Ingress. When NEGs are used with GKE Ingress, the Ingress controller facilitates the creation of all aspects of the L7 load balancer. This includes creating the virtual IP address, forwarding rules, health checks, firewall rules, and more. https://cloud.google.com/architecture/best-practices-for-running-cost-effective-kubernetes-applications-on-gke

NEW QUESTION # 115
You recently noticed that one Of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices.
What should you do?

A. Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.
B. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
C. Look through other metrics related to the product and find SLOs with remaining error budget.
Reallocate the error budgets and allow the feature launch.
D. Escalate the situation and request additional error budget.

Answer: B

Explanation:
Explanation
The correct answer is A. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
According to the Site Reliability Engineering (SRE) practices, an error budget is the amount of unreliability that a service can tolerate without harming user satisfaction1. An error budget is derived from the service-level objectives (SLOs), which are the measurable goals for the service quality2. When a service exceeds its error budget, it means that it has violated its SLOs and may have negatively impacted the users. In this case, the SRE team should notify the product team that their error budget is used up and negotiate with them for a launch freeze or a lower SLO3. A launch freeze means that no new features are deployed until the service reliability is restored. A lower SLO means that the product team accepts a slightly worse user experience in exchange for launching new features. Both options require a trade-off between reliability and innovation, and should be agreed upon by both teams.
The other options are incorrect because they do not follow the SRE practices. Option B is incorrect because it violates the principle of error budget autonomy, which means that each service should have its own error budget and SLOs, and should not borrow or reallocate them from other services4. Option C is incorrect because it does not address the root cause of the error budget overspend, and may create unrealistic expectations for the service reliability. Option D is incorrect because it does not prevent the possibility of introducing new errors or bugs with the feature launch, which may further degrade the service quality and user satisfaction.

NEW QUESTION # 116
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