Professional-Cloud-DevOps-Engineer Practice Questions
Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update 2 days ago
Total Questions : 201
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Our free Cloud DevOps Engineer practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about Professional-Cloud-DevOps-Engineer. Use this test to pinpoint which areas you need to focus your study on.
You are troubleshooting a failed deployment in your CI/CD pipeline. The deployment logs indicate that the application container failed to start due to a missing environment variable. You need to identify the root cause and implement a solution within your CI/CD workflow to prevent this issue from recurring. What should you do?
You are managing an MLOps platform on a Google Kubernetes Engine (GKE) cluster that serves two teams:
The Research team runs hundreds of small, daily experiments that can run as capacity allows and are highly cost-sensitive.
The Production team must retrain the company's main language model every Friday at 10:00 PM. This job is business-critical, cannot be interrupted, and must start on time.
You need to configure the modes for Dynamic Workload Scheduler to meet each team's requirements. What should you do?
You are responsible for the reliability of a custom-built, distributed file storage service that your company uses internally. This service handles thousands of file uploads and downloads daily. You need to define a service level indicator (SLI) to measure the reliability of your service usage and configure alerts to be notified of potential issues. Which SLI should you use to measure the reliability of the service?
You created a Stackdriver chart for CPU utilization in a dashboard within your workspace project. You want to share the chart with your Site Reliability Engineering (SRE) team only. You want to ensure you follow the principle of least privilege. What should you do?
You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below:

The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?
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?
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 Ofyour applications. You need to test against the full production load before your applications are launched. What should you do?
You need to introduce postmortems into your organization during the holiday shopping season. You are expecting your web application to receive a large volume of traffic in a short period. You need to prepare your application for potential failures during the event What should you do?
Choose 2 answers
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?
Choose 2 answers
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?
