Exam4Docs Google Professional-Cloud-DevOps-Engineer Dumps (2026)
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| Section | Weight | Objectives |
|---|
| Applying site reliability engineering practices | 18% | - Define reliability goals
- 1. Align reliability with business needs
- 2. Establish SLIs, SLOs, SLAs
- 3. Use error budgets to balance change and stability
- Design for resilience
- 1. Automate remediation and self-healing
- 2. Test failure scenarios and recovery
- 3. Plan redundancy and fault tolerance
- Manage incidents and outages
- 1. Perform postmortems and root cause analysis
- 2. Implement improvements to prevent recurrence
- 3. Detect and respond to issues quickly
|
| Optimizing performance and cost | 17% | - Improve system performance
- 1. Use caching and content delivery
- 2. Optimize resource allocation
- 3. Tune applications and infrastructure
- Apply FinOps practices
- 1. Monitor and analyze cloud costs
- 2. Right-size resources and eliminate waste
- 3. Use spot instances and committed use discounts
- Balance cost, performance, and reliability
- 1. Plan capacity and scaling
- 2. Optimize over time
- 3. Make tradeoff decisions based on data
|
| Bootstrapping and maintaining a Google Cloud organization | 20% | - Manage configuration and deployment
- 1. Use Infrastructure as Code tools
- 2. Enforce consistency across environments
- 3. Automate resource provisioning
- Design resource hierarchy
- 1. Define IAM policies and access control
- 2. Organize resources by project/folder/application
- 3. Plan shared networking and connectivity
- Set up governance and compliance
- 1. Manage resource quotas and limits
- 2. Implement organization policies
- 3. Configure audit logging and monitoring
|
| Implementing observability and troubleshooting | 20% | - Troubleshoot complex issues
- 1. Analyze performance and latency
- 2. Trace requests end-to-end
- 3. Isolate problems across layers
- Build monitoring and logging systems
- 1. Collect and analyze metrics, logs, traces
- 2. Create dashboards and alerts
- 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace
- Optimize observability strategy
- 1. Integrate observability into development
- 2. Reduce noise and prioritize signals
- 3. Scale monitoring for large environments
|
| Building and implementing CI/CD pipelines | 25% | - Implement and secure pipelines
- 1. Enforce security scanning and compliance checks
- 2. Automate build, test, and deployment stages
- 3. Manage pipeline secrets and credentials
- Design CI/CD pipelines
- 1. Plan pipelines for apps, infrastructure, ML workloads
- 2. Integrate artifact management
- 3. Support hybrid/multi-cloud deployment
- Optimize and maintain pipelines
- 1. Handle rollbacks and versioning
- 2. Monitor pipeline performance
- 3. Improve speed and reliability
|
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q74-Q79):
NEW QUESTION # 74
You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?
- A. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.
- B. Contact the affected service owners and update them on the status of the incident.
- C. Look for ways to mitigate user impact and deploy the mitigations to production.
- D. Establish a communication channel where incident responders and leads can communicate with each other.
Answer: C
Explanation:
https://sre.google/sre-book/managing-incidents/
NEW QUESTION # 75
You support a web application that runs on App Engine and uses CloudSQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a big increase in latency for all user requests, increase in CPU use, and the number of processes running the application. Initial troubleshooting reveals:
After the initial spike in traffic, load levels returned to normal but users still experience high latency.
Requests for content from the CloudSQL database and images from Cloud Storage show the same high latency.
No changes were made to the website around the time the latency increased.
There is no increase in the number of errors to the users.
You expect another spike in website traffic in the coming days and want to make sure users don't experience latency. What should you do?
- A. Modify the App Engine configuration to have additional idle instances.
- B. Enable high availability on the CloudSQL instances.
- C. Upgrade the GCS buckets to Multi-Regional.
- D. Move the application from App Engine to Compute Engine.
Answer: B
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 a central Cloud Monitoring workspace and attach all related projects
- B. Create an aggregated log sink associated with the production folder that uses a Pub Sub topic as the destination
- 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
NEW QUESTION # 77
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?
- A. Implement static code analysis tooling against the Docker files used to create the containers.
- B. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
- C. Configure the containers in the build pipeline to always update themselves before release.
- D. Reconfigure the existing operating system vulnerability software to exist inside the container.
Answer: B
NEW QUESTION # 78
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. Identify recommended reliability improvements to the service to be completed before handover.
- C. Notify the development team that they will have to provide production support for the service.
- D. Bring the service into production with no SLOs and build them when you have collected operational data.
Answer: B
NEW QUESTION # 79
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