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Google Professional-Cloud-DevOps-Engineer exam is a challenging exam that requires candidates to have a strong understanding of DevOps engineering practices and Google Cloud technologies. To prepare for the exam, candidates should have a solid understanding of the topics covered in the exam, such as continuous delivery, automation, infrastructure as code, and monitoring. They should also have hands-on experience with Google Cloud technologies and related DevOps tools and practices.

Google Professional-Cloud-DevOps-Engineer exam is an essential certification for professionals who want to develop their skills in cloud-based DevOps engineering. Professional-Cloud-DevOps-Engineer exam covers various aspects of infrastructure deployment, automation, monitoring, and optimization, and tests the candidate's ability to design, develop, and manage cloud-based solutions using best practices and industry standards. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is highly valued in the industry and can lead to better career opportunities and higher salaries.

Google Cloud Certified Professional Cloud DevOps Engineer exam is designed to test the skills and knowledge of professionals who can help organizations improve their software delivery pipelines and build reliable, scalable, and secure applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification verifies that the candidate possesses the necessary skills to design, implement, and manage DevOps processes using GCP tools and services.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q27-Q32):

NEW QUESTION # 27
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?

A. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
B. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
C. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
D. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.

Answer: B

NEW QUESTION # 28
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?

A. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.
B. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
C. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
D. Use Stackdriver Kubernetes Engine Monitoring.

Answer: B

NEW QUESTION # 29
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

A. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
B. Assign the Container Developer role to the Cloud Build service account.
C. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
D. Create a new service account with the Container Developer role and use it to run Cloud Build.

Answer: D

NEW QUESTION # 30
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

A. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
B. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
C. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
D. Use Cloud Build to trigger a Spinnaker pipeline.

Answer: B

NEW QUESTION # 31
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve dat a. 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?

A. Use Stackdriver Profiler to visualize the resources utilization throughout the application.
B. Determine whether there is an increased number of connections to the Cloud SQL instance.
C. Check the serial port logs of the Compute Engine instance.
D. Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.

Answer: C

NEW QUESTION # 32
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