Google Professional-Cloud-DevOps-Engineer Questions & Answers - in .pdf
- Total Q&A: 208
- Update: Aug 13, 2026
- Price: $59.99
- Vendor: Google
- Exam Code: Professional-Cloud-DevOps-Engineer
- Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
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Google Professional-Cloud-DevOps-Engineer Q&A - Testing Engine
- Total Q&A: 208
- Update: Aug 13, 2026
- Price: $59.99
- Vendor: Google
- Exam Code: Professional-Cloud-DevOps-Engineer
- Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
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Topics of Google Professional Cloud DevOps Engineer Exam
Candidates must know the exam topics before they start preparation because it will help them in hitting the core. Our Professional Cloud DevOps Engineer Dumps will include the following topics:
Applying site reliability engineering principles to a service
- Define SLOs and understand SLAs
- Construct feedback loops to decide what to build next
- Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
- Balance change, velocity, and reliability of the service:
- Toil automation
- Discover SLIs (availability, latency, etc.)
- Agree to consequences of not meeting the error budget
- 1.2 Manage service life cycle:
Building and implementing CI/CD pipelines for a service
- Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
- Artifact versioning strategy with Cloud Build, Container Registry
- Configure deployment processes (e.g., approval flows)
- Deployment strategies with Cloud Build, Spinnaker
- Testing a new version with Spinnaker
- Immutable artifacts with Container Registry
- Artifact repositories with Container Registry
- Design CI/CD pipelines:
- CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
Implementing service monitoring strategies
- Viewing export logs in Cloud Storage and BigQuery
- Collecting GKE/Kubernetes metrics
- Collecting metrics from Compute Engine
- Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
- Selecting the options for logging export
- Implementing a project-level / org-level export
- Manage application logs:
- Implementing logs-based metrics
- Sending logs to an external logging platform
- Enabling VPC flow logs
- Set ACL to restrict export configuration with IAM, Stackdriver Logging
- Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
- Collecting third-party and structured logs with Stackdriver Logging, Fluentd
- Sending application logs directly to Stackdriver API with Stackdriver Logging
- Understanding the logging exclusion vs. logging export
- Use metric explorer for ad hoc metric analysis
- Enabling data access logs (e.g., Cloud Audit Logs)
- Using basic vs. advanced logging filters
- Viewing logs in the GCP Console
- Set ACL to restrict access to audit logs with IAM, Stackdriver Logging
Optimizing service performance
- Work with committed-use discounts
- Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
- Utilize Stackdriver to identify cloud resource utilization
- Troubleshoot issues with the image/OS
- identify resource costs
- Develop a plan to optimize areas of greatest cost or lowest utilization
- Consider network pricing
- Identify service performance issues:
- TCO considerations
- Manage preemptible VMs
- Utilize Stackdriver Trace/Profiler to profile performance characteristics
- Troubleshoot network issues (e.g., VPC flow logs, firewall logs, latency, view network details)
- Identify resource utilization levels
- Interpret service mesh telemetry
Managing service incidents
- Provide regular status updates, internal and external
- Scaling response team and delegation
- Rotate/hand over roles
- Avoid exhaustion/burnout
- Handle requests for impact assessment
- Identify alternatives to mitigate the issue
- Manage stakeholder relationships
- Perform an investigation to isolate the most likely actual cause
- Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
- Record major changes in incident state (When mitigated? When all clear? etc.)
- Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
- Identify probable causes of service failure
- Coordinate roles and implement communication channels during a service incident:
- Define roles (incident commander, communication lead, operations lead)
The Google Professional Cloud DevOps Engineer certification is designed to equip the specialists with the expertise required to perform the following technical tasks: applying the principles of site reliability engineering to services, optimizing service performance, implementing the strategies for service monitoring, building and implementing CI/CD pipelines for services, as well as managing service incidents. To get the certificate, the candidates need to complete a single exam covering a wide range of knowledge and skills.
Reference: https://cloud.google.com/certification/cloud-devops-engineer
Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Optimize performance and continuous delivery | - System performance optimization
- 1. Scaling strategies and load handling
- Monitoring and observability
- 1. Performance tuning and feedback loops
- 2. Cloud Monitoring and Logging
|
| Topic 2: 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. Release management practices
- 2. Deployment automation strategies
|
| Topic 3: Implement security and compliance | - Compliance and governance
- 1. Audit logging and policy enforcement
- Secure CI/CD pipelines
- 1. IAM and least privilege access
- 2. Secret and credential management
|
| Topic 4: Implement site reliability engineering (SRE) practices | - Incident management and postmortems
- 1. Alerting and on-call practices
- Define and manage SLI, SLO, and SLA
- 1. Error budgets and monitoring strategies
|
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