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Google Professional-Cloud-DevOps-Engineer Exam is designed to assess an individual's knowledge and skills in the field of cloud-based DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for professionals who are interested in developing and deploying software applications in the cloud environment. Professional-Cloud-DevOps-Engineer exam is part of the Google Cloud Certified program, which is designed to validate the knowledge and expertise of professionals in various areas of cloud computing.

The Professional Cloud DevOps Engineer Exam is intended for professionals who have experience in cloud architecture and operations, as well as expertise in developing and deploying applications using Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is perfect for individuals who want to demonstrate their expertise in DevOps engineering and cloud computing and want to enhance their career opportunities in the field of cloud-based operations.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q76-Q81):

NEW QUESTION # 76
Your company has a Google Cloud resource hierarchy with folders for production test and development Your cyber security team needs to review your company's Google Cloud security posture to accelerate security issue identification and resolution You need to centralize the logs generated by Google Cloud services from all projects only inside your production folder to allow for alerting and near-real time analysis. What should you do?

A. Create an aggregated log sink associated with the production folder that uses a Pub Sub topic as the destination
B. Create a central Cloud Monitoring workspace and attach all related projects
C. Enable the Workflows API and route all the logs to Cloud Logging
D. Create an aggregated log sink associated with the production folder that uses a Cloud Logging bucket as the destination

Answer: D

Explanation:
Explanation
The best option for centralizing the logs generated by Google Cloud services from all projects only inside your production folder is to create an aggregated log sink associated with the production folder that uses a Cloud Logging bucket as the destination. An aggregated log sink is a log sink that collects logs from multiple sources, such as projects, folders, or organizations. A Cloud Logging bucket is a storage location for logs that can be used as a destination for log sinks. By creating an aggregated log sink with a Cloud Logging bucket, you can collect and store all the logs from the production folder in one place and allow for alerting and near-real time analysis using Cloud Monitoring and Cloud Operations.

NEW QUESTION # 77
Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable testers to toad test new features. What should you do?

A. Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
B. Create an automated testing script in production to detect failures as soon as they occur.
C. Create a development environment with smaller server capacity and give access only to developers and testers.
D. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.

Answer: B

NEW QUESTION # 78
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices. What should you do? (Choose two.)

A. Get the product team to prioritize reliability work over new features.
B. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.
C. Increase the service's deployment velocity and/or risk.
D. Make the service's SLO more strict.
E. Shift engineering time to other services that need more reliability.

Answer: C,E

Explanation:
(https://sre.google/workbook/implementing-slos/#slo-decision-matrix)

NEW QUESTION # 79
You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?

A. Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.
B. Negotiate with the product team to always prioritize service reliability over releasing new features.
C. Develop an appropriate error budget policy in cooperation with all service stakeholders.
D. Negotiate with the development team to reduce the release frequency to no more than once a week.

Answer: C

Explanation:
Reason : Incident has not occurred yet, even when development team is already pushing new features multiple times a week. The option A says, to define an error budget "policy", not to define error budget(It is already present). Just simple means to bring in all stakeholders, and decide how to consume the error budget effectively that could bring balance between feature deployment and reliability.
The goals of this policy are to: -- Protect customers from repeated SLO misses -- Provide an incentive to balance reliability with other features https://sre.google/workbook/error-budget-policy/

NEW QUESTION # 80
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines.
The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

A. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
B. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
C. An availability SLI: the ratio of healthy microservices to the total number of microservices
D. A quality SLI: the ratio of non-degraded responses to total responses

Answer: C

Explanation:
Explanation
https://cloud.google.com/blog/products/gcp/available-or-not-that-is-the-question-cre-life-lessons

NEW QUESTION # 81
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