Free Google Professional-Cloud-DevOps-Engineer Exam Questions
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Google Professional-Cloud-DevOps-Engineer Exam Questions
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Provided By: Google
- Exam: Google Professional Cloud DevOps Engineer
- Certification: Google Cloud Certified
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Total Questions: 499
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Updated On: Mar 25, 2025
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Rated: 4.9 |
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Online Users: 998
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Question 1
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The NGINX-based application was recently deployed by your team on Google Kubernetes Engine (GKE) and exposed to the public through an HTTP Google Cloud Load Balancer (GCLB) ingress. You intend to increase the frontend deployment of the application using a suitable Service Level Indicator (SLI).
What actions do you need to take?
Answer: C
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The NGINX-based application was recently deployed by your team on Google Kubernetes Engine (GKE) and exposed to the public through an HTTP Google Cloud Load Balancer (GCLB) ingress. You intend to increase the frontend deployment of the application using a suitable Service Level Indicator (SLI).
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Question 2
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What is the role of kube-scheduler in the Kubernetes control plane?
Answer: A
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What is the role of kube-scheduler in the Kubernetes control plane?
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Question 3
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Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?
Answer: B
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Question 4
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Your company is using HTTPS requests to trigger a public Cloud Run-hosted service accessible at the
https://booking-engine-abcdef .a.run.app URL
You need to give developers the ability to test the latest revisions of the service before the service is exposed to customers What should you do?
Answer: B
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Your company is using HTTPS requests to trigger a public Cloud Run-hosted service accessible at the
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Question 5
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Your company processes IOT data at scale by using Pub/Sub, App Engine standard environment, and an application written in GO. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead. What should you do?
- Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data
to the tool.
Answer: C - Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data
to the tool.
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