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| Section | Objectives |
|---|
| Topic 1: Implement site reliability engineering (SRE) practices | - Define and manage SLI, SLO, and SLA
- 1. Error budgets and monitoring strategies
- Incident management and postmortems
- 1. Alerting and on-call practices
|
| Topic 2: Optimize performance and continuous delivery | - Monitoring and observability
- 1. Cloud Monitoring and Logging
- 2. Performance tuning and feedback loops
- System performance optimization
- 1. Scaling strategies and load handling
|
| Topic 3: Develop and implement CI/CD pipelines | - Build and manage CI/CD pipelines using Google Cloud tools
- 1. Artifact repository management
- 2. Cloud Build pipeline design
- Automate build, test, and deployment processes
- 1. Deployment automation strategies
- 2. Release management practices
|
| Topic 4: Implement security and compliance | - Secure CI/CD pipelines
- 1. IAM and least privilege access
- 2. Secret and credential management
- Compliance and governance
- 1. Audit logging and policy enforcement
|
>> Professional-Cloud-DevOps-Engineer Valid Exam Answers <<
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q205-Q210):
NEW QUESTION # 205
Your organization stores all application logs from multiple Google Cloud projects in a central Cloud Logging project. Your security team wants to enforce a rule that each project team can only view their respective logs, and only the operations team can view all the logs. You need to design a solution that meets the security team's requirements, while minimizing costs. What should you do?
- A. Create Identity and Access Management (IAM) roles for each project team and restrict access to the _ Default log view in their individual Google Cloud project. Grant viewer access to the operations team in the central logging project.
- B. Create log views for each project team, and only show each project team their application logs. Grant the operations team access to the _ Al Il-jogs View in the central logging project.
- C. Grant each project team access to the project _ Default view in the central logging project. Grant logging viewer access to the operations team in the central logging project.
- D. Export logs to BigQuery tables for each project team. Grant project teams access to their tables. Grant logs writer access to the operations team in the central logging project.
Answer: B
Explanation:
Explanation
Create log views for each project team, and only show each project team their application logs. Grant the operations team access to the _AllLogs View in the central logging project1.
This approach aligns with the Google Cloud's recommended methodologies for Professional Cloud DevOps Engineers1. Log views allow you to create and manage access control at a finer granularity for your logs. By creating a separate log view for each project team, you can ensure that they only have access to their respective logs. The operations team, on the other hand, can be granted access to the _AllLogs view in the central logging project, allowing them to view all logs as required.
This solution not only meets the security team's requirements but also minimizes costs as it leverages built-in features of Google Cloud's logging and does not require exporting logs to another service like BigQuery (as suggested in option A), which could incur additional costs1.
NEW QUESTION # 206
You are part of an organization that follows SRE practices and principles. You are taking over the management of a new service from the Development Team, and you conduct a Production Readiness Review (PRR). After the PRR analysis phase, you determine that the service cannot currently meet its Service Level Objectives (SLOs). You want to ensure that the service can meet its SLOs in production. What should you do next?
- A. djust the SLO targets to be achievable by the service so you can bring it into production.
- B. Bring the service into production with no SLOs and build them when you have collected operational data.
- C. Identify recommended reliability improvements to the service to be completed before handover.
- D. Notify the development team that they will have to provide production support for the service.
Answer: C
NEW QUESTION # 207
You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?
- A. Create an incident report for each of the alerts.
- B. Eliminate unactionable alerts.
- C. Distribute the alerts to engineers in different time zones.
- D. Redefine the related Service Level Objective so that the error budget is not exhausted.
Answer: B
Explanation:
Eliminate bad monitoring : Unactionable alerts (i.e., spam)https://cloud.google.com/blog/products
/management-tools/meeting-reliability-challenges-with-sre-principles
agree with kyubiblaze about having to remove unactionable items aka spam: "good monitoring alerts on actionable problems" @https://cloud.google.com/blog/products/management-tools/meeting-reliability- challenges-with-sre-principles
NEW QUESTION # 208
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. Operations Lead
- B. Communications Lead
- C. Engineering Lead
- D. Customer Impact Assessor
- E. External Customer Communications Lead
Answer: A,B
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 # 209
Your organization is running multiple Google Kubernetes Engine (GKE) clusters in a project. You need to design a highly-available solution to collect and query both domain-specific workload metrics and GKE default metrics across all clusters, while minimizing operational overhead. What should you do?
- A. Use Prometheus Operator to install Prometheus in every cluster and scrape the metrics. Ensure that a Thanos sidecar is enabled on every Prometheus instance. Configure Thanos in the central cluster. Query the central Thanos instance.
- B. Enable managed collection on every GKE cluster. Query the metrics in BigQuery.
- C. Use Prometheus Operator to install Prometheus in every cluster and scrape the metrics. Configure remote-write to one central Prometheus. Query the central Prometheus instance.
- D. Enable managed collection on every GKE cluster. Query the metrics in Cloud Monitoring.
Answer: D
Explanation:
Google recommends using managed collection for GKE monitoring to reduce operational overhead. This sends Kubernetes metrics and custom workload metrics directly to Cloud Monitoring.
"You can enable Managed Service for Prometheus, which provides a fully managed Prometheus-compatible monitoring solution integrated with Cloud Monitoring."
- Managed Collection in GKE
"It automatically collects and stores metrics in Cloud Monitoring with no need to manage a Prometheus server."
- Google Cloud Managed Prometheus
It's scalable, cost-effective, and requires no additional infrastructure like Thanos or Prometheus federation.
NEW QUESTION # 210
......
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