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Quiz Efficient Professional-Cloud-DevOps-Engineer - Dump Google Cloud Certified - Professional Cloud DevOps Engineer Exam File

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Google Professional-Cloud-DevOps-Engineer certification exam is a highly sought-after certification that is designed for IT professionals who want to demonstrate their skills in managing and deploying applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification validates the skills and knowledge of individuals in various areas of cloud computing, including DevOps practices, infrastructure automation, continuous delivery, and monitoring and logging.

Exam Details

The qualifying test for the Google Professional Cloud DevOps Engineer certification has the duration of 2 hours. The candidates will be asked to answer around 50 multiple-select and multiple-choice questions. The exam is available in the English language only. The students can take it either as an online proctored test or an onsite proctored exam at an authorized testing center. You can check the location of the nearest center in your region using the search on the official webpage. Each learner is required to pay the registration fee of $200 to schedule the exam.

If you don’t manage to pass the exam on the first try, you can retake it after 14 days. If you don't complete it for the second time, you will be required to wait for 60 days before you can sit for it for the third time. If you fail the third attempt, you will have to wait for 1 year before taking the test again.

Google Professional-Cloud-DevOps-Engineer Exam is a valuable credential for professionals who are looking to build a career in DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification validates the candidate's ability to design and manage continuous delivery systems and implement DevOps practices using Google Cloud technologies. To pass the exam, candidates should have a strong understanding of DevOps engineering practices and Google Cloud technologies, as well as hands-on experience with related tools and practices.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q153-Q158):

NEW QUESTION # 153
You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub. You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?

A. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
B. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
C. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.
D. Disable the CI pipeline and revert to manually building and pushing the artifacts.

Answer: B

NEW QUESTION # 154
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 memory limit in the application deployment.
B. Add Cloud Trace to the application, and redeploy.
C. Increase the CPU limit in the application deployment.
D. Add high memory compute nodes to the cluster.

Answer: A

NEW QUESTION # 155
Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?

A. Configure Cloud Trace in your application
B. Configure Cloud Profiler in your application
C. Configure Error Reporting in your application
D. Configure Google Cloud Managed Service for Prometheus in your application

Answer: A

Explanation:
The best option for investigating the issue with your application's performance in Google Cloud is to configure Cloud Trace in your application. Cloud Trace is a service that allows you to collect and analyze latency data from your application. You can use Cloud Trace to trace requests across different components of your application, such as downstream dependencies, and identify where they take longer to complete. You can also use Cloud Trace to compare latency data across different versions of your application, and detect any performance degradation or improvement. By using Cloud Trace, you can diagnose and troubleshoot performance issues with your application in Google Cloud.

NEW QUESTION # 156
You support a user-facing web application When analyzing the application's error budget over the previous six months you notice that the application never consumed more than 5% of its error budget You hold a SLO review with business stakeholders and confirm that the SLO is set appropriately You want your application's reliability to more closely reflect its SLO What steps can you take to further that goal while balancing velocity, reliability, and business needs?
Choose 2 answers

A. Announce planned downtime to consume more error budget and ensure that users are not depending on a tighter SLO
B. Add more serving capacity to all of your application's zones
C. Tighten the SLO to match the application's observed reliability
D. Implement and measure all other available SLIs for the application
E. Have more frequent or potentially risky application releases

Answer: C,E

Explanation:
Explanation
The best options for furthering your application's reliability goal while balancing velocity, reliability, and business needs are to have more frequent or potentially risky application releases and to tighten the SLO to match the application's observed reliability. Having more frequent or potentially risky application releases can help you increase the change velocity and deliver new features faster. However, this also increases the likelihood of consuming more error budget and reducing the reliability of your service. Therefore, you should monitor your error budget consumption and adjust your release policies accordingly. For example, you can freeze or slow down releases when the error budget is low, or accelerate releases when the error budget is high. Tightening the SLO to match the application's observed reliability can help you align your service quality with your users' expectations and business needs. However, this also means that you have less room for error and need to maintain a higher level of reliability. Therefore, you should ensure that your SLO is realistic and achievable, and that you have sufficient engineering resources and processes to meet it.

NEW QUESTION # 157
You support a user-facing web application. When analyzing the application's error budget over the previous six months, you notice that the application has never consumed more than 5% of its error budget in any given time window. You hold a Service Level Objective (SLO) review with business stakeholders and confirm that the SLO is set appropriately. You want your application's SLO to more closely reflect its observed reliability.
What steps can you take to further that goal while balancing velocity, reliability, and business needs? (Choose two.)

A. Announce planned downtime to consume more error budget, and ensure that users are not depending on a tighter SLO.
B. Tighten the SLO match the application's observed reliability.
C. Have more frequent or potentially risky application releases.
D. Add more serving capacity to all of your application's zones.
E. Implement and measure additional Service Level Indicators (SLIs) fro the application.

Answer: A,E

Explanation:
Explanation
https://sre.google/sre-book/service-level-objectives/
You want the application's SLO to more closely reflect it's observed reliability. The key here is error budget never goes over 5%. This means they can have additional downtime and still stay within their budget.

NEW QUESTION # 158
......

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