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Google Professional-Cloud-DevOps-Engineer certification is ideal for professionals who work in DevOps roles and are proficient in using GCP to build and deploy applications. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is also suitable for professionals who want to enhance their skills and advance their careers in the DevOps field. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is recognized globally and is highly valued by employers, making it an excellent investment for IT professionals who want to stay ahead of the competition.

Google Professional-Cloud-DevOps-Engineer Exam is a certification program designed to validate the skills and knowledge of professionals in the field of DevOps engineering on the Google Cloud Platform. Professional-Cloud-DevOps-Engineer exam is intended for individuals who are experienced in DevOps practices and have expertise in designing, building, and maintaining scalable and reliable cloud solutions.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q130-Q135):

NEW QUESTION # 130
Your organization is starting to containerize with Google Cloud. You need a fully managed storage solution for container images and Helm charts. You need to identify a storage solution that has native integration into existing Google Cloud services, including Google Kubernetes Engine (GKE), Cloud Run, VPC Service Controls, and Identity and Access Management (IAM). What should you do?

A. Configure an open source container registry server to run in GKE with a restrictive role-based access control (RBAC) configuration.
B. Configure Artifact Registry as an OCI-based container registry for both Helm charts and container images.
C. Use Docker to configure a Cloud Storage driver pointed at the bucket owned by your organization.
D. Configure Container Registry as an OCI-based container registry for container images.

Answer: B

NEW QUESTION # 131
You support a high-traffic web application and want to ensure that the home page loads in a timely manner.
As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

A. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
B. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
C. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
D. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.

Answer: C

Explanation:
https://sre.google/workbook/implementing-slos/
In the SRE principles book, it's recommended treating the SLI as the ratio of two numbers: the number of good events divided by the total number of events. For example: Number of successful HTTP requests / total HTTP requests (success rate)

NEW QUESTION # 132
Your application images are built using 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 should you do when you push the image?

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

Answer: A

Explanation:
Explanation
https://cloud.google.com/container-registry/docs/pushing-and-pulling

NEW QUESTION # 133
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?

A. flex/instance/connections/current
B. flex/connections/current
C. tcp_ssl_proxy/open_connections
D. tcp_ssl_proxy/new_connections

Answer: B

Explanation:
Explanation
https://cloud.google.com/monitoring/api/metrics_gcp#gcp-appengine

NEW QUESTION # 134
You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?

A. Use Stackdriver Logging to create a logs-based metric from the Cloud Buitd logs. Create an Alert with a Webhook notification type.
B. Add logic to each Cloud Build step to HTTP POST the build information to a webhook.
C. Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.
D. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.

Answer: D

NEW QUESTION # 135
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