RELIABLE PROFESSIONAL-CLOUD-DEVOPS-ENGINEER TEST EXPERIENCE - EXAM PROFESSIONAL-CLOUD-DEVOPS-ENGINEER PATTERN

Reliable Professional-Cloud-DevOps-Engineer Test Experience - Exam Professional-Cloud-DevOps-Engineer Pattern

Reliable Professional-Cloud-DevOps-Engineer Test Experience - Exam Professional-Cloud-DevOps-Engineer Pattern

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application.
Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the
90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

  • A. 90th percentile - 150ms
    95th percentile - 300ms
  • B. 90th percentile - 250ms
    95th percentile - 400ms
  • C. 90th percentile - 100ms
    95th percentile - 250ms
  • D. 90th percentile - 120ms
    95th percentile - 275ms

Answer: A

Explanation:
https://sre.google/sre-book/service-level-objectives/


NEW QUESTION # 59
You support an application running on GCP and want to configure SMS notifications to your team for the most critical alerts in Stackdriver Monitoring. You have already identified the alerting policies you want to configure this for. What should you do?

  • A. Ensure that your team members set their SMS/phone numbers in their Stackdriver Profile. Select the SMS notification option for each alerting policy and then select the appropriate SMS/phone numbers from the list.
  • B. Select the Webhook notifications option for each alerting policy, and configure it to use a third-party integration tool. Ensure that your team members add their SMS/phone numbers to the external tool.
  • C. Configure a Slack notification for each alerting policy. Set up a Slack-to-SMS integration to send SMS messages when Slack messages are received. Ensure that your team members add their SMS/phone numbers to the external integration.
  • D. Download and configure a third-party integration between Stackdriver Monitoring and an SMS gateway. Ensure that your team members add their SMS/phone numbers to the external tool.

Answer: C


NEW QUESTION # 60
You manage your company's primary revenue-generating application. You have an error budget policy in place that freezes production deployments when the application is close to breaching its SLO. A number of issues have recently occurred, and the application has exhausted its error budget. You need to deploy a new release to the application that includes a feature urgently required by your largest customer. You have been told that the release has passed all unit tests. What should you do?

  • A. Delay the deployment of the feature until the error budget is replenished.
  • B. Start the deployment of the feature immediately.
  • C. Deploy the feature to a subset of users, and gradually roll out to all users if there are no errors reported.
  • D. Re-run the unit tests, and start the deployment of the feature if the tests pass.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From SRE Principles:
This scenario presents a classic SRE conflict: maintaining reliability (as dictated by the exhausted error budget and deployment freeze) versus delivering an urgent business requirement. The error budget policy is there for a reason - to protect users from further instability.
A: Start the deployment of the feature immediately: This directly violates the established error budget policy and the deployment freeze. While the feature is urgent, deploying without caution when the system is already unstable (as indicated by the exhausted error budget) is highly risky and could exacerbate existing problems or introduce new ones, further impacting revenue and customer trust.
B: Delay the deployment of the feature until the error budget is replenished: This strictly adheres to the policy but might not be acceptable given the "urgently required by your largest customer" clause. SRE principles allow for reasoned exceptions and risk management, not just blind adherence if the business context is compelling enough and risks are managed.
C: Re-run the unit tests, and start the deployment of the feature if the tests pass: Unit tests are foundational but insufficient to guarantee a complex application will perform reliably in production, especially when the system is already indicating instability (exhausted error budget). Passing unit tests doesn't negate the risk signaled by the depleted error budget.
D: Deploy the feature to a subset of users, and gradually roll out to all users if there are no errors reported:
This is the most balanced SRE approach in this situation. It acknowledges the urgency while attempting to mitigate risk:Risk Mitigation: A canary release (deploying to a small subset of users) limits the potential negative impact if the new feature introduces new errors or worsens existing instability.
Observation: It allows for careful monitoring of the new release in the production environment with real users.
Data-Driven Decision: The decision to proceed with a wider rollout is based on observed behavior ("if there are no errors reported"), not just assumptions.
Controlled Rollout: A gradual rollout allows for quick rollback if issues arise.
While an exhausted error budget signals a deployment freeze, critical business needs can sometimes necessitate a carefully managed exception. A canary release is a standard SRE technique for deploying changes with reduced risk, making it the most appropriate course of action when faced with such conflicting priorities. The team would also need to communicate clearly about the risks and the rationale for this exception. It's implied that this urgent feature might also fix existing issues or is critical enough to warrant the carefully managed risk.
Reference (Based on SRE principles from Google's SRE books and general practices):
Error Budgets: "The SRE Book" (Site Reliability Engineering: How Google Runs Production Systems) discusses error budgets and deployment freezes. An exhausted error budget typically means no more risky changes until reliability improves.
Canary Releases: This is a fundamental practice for safely deploying new versions. It's about testing in production with a small percentage of traffic.
Managing Risk: SRE is about managing risk, not eliminating it entirely. In situations like this, a calculated risk with strong mitigation (canary, monitoring, rollback plan) can be justified for critical business needs. The decision involves weighing the risk of deploying against the risk of not deploying the urgent feature.
Option D represents a pragmatic SRE approach to navigate this difficult situation by minimizing the blast radius of the change.


NEW QUESTION # 61
Your company is using HTTPS requests to trigger a public Cloud Run-hosted service accessible at the https://booking-engine-abcdef .a.run.app URL You need to give developers the ability to test the latest revisions of the service before the service is exposed to customers What should you do?

  • A. Pass the curl -K "Authorization: Hearer S(gclcud auth print-identity-token)" auth token Use the https: / /booking-engine-abcdef. a. run. app URL to test privately
  • B. Runthegcioud run deploy booking-engine -no-traffic --ag dev command Use the https://dev----booking-engine-abcdef. a. run. app URL for testing
  • C. Runthegcioud run services update-traffic booking-engine -to-revisions LATEST*! command Use the ht tps: //booking-engine-abcdef. a. run. ape URL for testing
  • D. Grant the roles/run. invoker role to the developers testing the booking-engine service Use the https: //booking-engine-abcdef. private. run. app URL for testing

Answer: C

Explanation:
The best option for securing the CI/CD deployment pipeline is to configure vulnerability analysis with Artifact Registry and Binary Authorization. Vulnerability analysis is a feature that allows you to scan container images for known vulnerabilities and security issues. You can use vulnerability analysis with Artifact Registry, which is a service that allows you to store and manage container images and other artifacts. By using vulnerability analysis with Artifact Registry, you can ensure that your container images are scanned for vulnerabilities before they are deployed. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization with Cloud Build, which is a service that allows you to build and deploy container images. By using Binary Authorization with Cloud Build, you can ensure that only authorized and verified container images are deployed to your environment.


NEW QUESTION # 62
You are the Site Reliability Engineer responsible for managing your company's data services and products.
You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

  • A. Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.
  • B. When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performance metrics with the product development team.
  • C. Review the design of the product with the product development team to provide feedback early in the design phase.
  • D. When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.

Answer: C

Explanation:
Explanation
The correct answer is D. Review the design of the product with the product development team to provide feedback early in the design phase.
According to the Google Cloud DevOps best practices, a Site Reliability Engineer (SRE) should collaborate with the product development team from the beginning of the product lifecycle, not just after the product is deployed or tested. This way, the SRE can provide operational input on the product design, such as scalability, reliability, security, and cost efficiency. The SRE can also help define service level objectives (SLOs) and service level indicators (SLIs) for the product, as well as monitoring and alerting strategies. By collaborating early and often, the SRE and the product development team can ensure that the product meets the operational requirements and expectations of the customers.


NEW QUESTION # 63
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