Google Professional Cloud DevOps Engineer
Professional Cloud DevOps Engineer
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Question 16 of 210
Topic 1: Professional Cloud DevOps EngineerTopic 1: Professional Cloud DevOps Engineer
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully
built by your trusted CI/CD pipeline are deployed to production. What should you do?
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Question 17 of 210
Topic 1: Professional Cloud DevOps EngineerTopic 1: Professional Cloud DevOps Engineer
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The
application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?
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Question 18 of 210
Topic 1: Professional Cloud DevOps EngineerTopic 1: Professional Cloud DevOps Engineer
Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and
bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load
testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable
testers to toad test new features. What should you do?
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Question 19 of 210
Topic 1: Professional Cloud DevOps EngineerTopic 1: Professional Cloud DevOps Engineer
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of
connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?
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Question 20 of 210
Topic 1: Professional Cloud DevOps EngineerTopic 1: Professional Cloud DevOps Engineer
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the
application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable
cause of the database timeout. What should you do?
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