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The Professional-Cloud-DevOps-Engineer certification is suitable for professionals who are looking to advance their careers in the DevOps domain and work with GCP technologies. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam covers various topics, including continuous delivery, automation, infrastructure as code, monitoring, and logging. Professional-Cloud-DevOps-Engineer Exam also evaluates a candidate's proficiency in using GCP tools such as Cloud Build, Cloud Source Repositories, Cloud Monitoring, and Stackdriver Logging. Passing Professional-Cloud-DevOps-Engineer exam demonstrates that a DevOps engineer has the necessary skills to design and implement effective DevOps workflows in the GCP environment.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q123-Q128):

NEW QUESTION # 123
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region.
Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?

A. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
B. Push the images to Google Container Registry (GCR) using the gcr.io hostname.
C. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.
D. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.

Answer: A

Explanation:
Hostname Storage location gcr.io Stores images in data centers in the United States asia.gcr.io Stores images in data centers in Asia eu.gcr.io Stores images in data centers within member states of the European Union us.
gcr.io Stores images in data centers in the United States

NEW QUESTION # 124
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: A

NEW QUESTION # 125
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. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
B. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
C. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
D. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.

Answer: A

NEW QUESTION # 126
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

A. Communications Lead
B. Customer Impact Assessor
C. Engineering Lead
D. Operations Lead
E. External Customer Communications Lead

Answer: A,D

Explanation:
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)."

NEW QUESTION # 127
As a Site Reliability Engineer, you support an application written in GO that runs on Google Kubernetes Engine (GKE) in production. After releasing a new version Of the application, you notice the applicationruns for about 15 minutes and then restarts. You decide to add Cloud Profiler to your application and now notice that the heap usage grows constantly until the application restarts. What should you do?

A. Increase the CPU limit in the application deployment.
B. Add Cloud Trace to the application, and redeploy.
C. Add high memory compute nodes to the cluster.
D. Increase the memory limit in the application deployment.

Answer: D

Explanation:
The correct answer is B. Increase the memory limit in the application deployment.
The application is experiencing a memory leak, which means that it is allocating memory that is not freed or reused. This causes the heap usage to grow constantly until it reaches the memory limit of the pod, which triggers a restart by Kubernetes. Increasing the memory limit in the application deployment can help mitigate the problem by allowing the application to run longer before reaching the limit. However, this is not a permanent solution, as the memory leak will still occur and eventually exhaust the available memory.The best solution is to identify and fix the source of the memory leak in the application code, using tools like Cloud Profiler and pprof12.

NEW QUESTION # 128
......

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