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The qualifying test for the Google Professional Cloud DevOps Engineer certification has the duration of 2 hours. The candidates will be asked to answer around 50 multiple-select and multiple-choice questions. The exam is available in the English language only. The students can take it either as an online proctored test or an onsite proctored exam at an authorized testing center. You can check the location of the nearest center in your region using the search on the official webpage. Each learner is required to pay the registration fee of $200 to schedule the exam.
If you don’t manage to pass the exam on the first try, you can retake it after 14 days. If you don't complete it for the second time, you will be required to wait for 60 days before you can sit for it for the third time. If you fail the third attempt, you will have to wait for 1 year before taking the test again.
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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
- Agree to consequences of not meeting the error budget
- 1.2 Manage service life cycle:
- Discover SLIs (availability, latency, etc.)
- Construct feedback loops to decide what to build next
- Balance change, velocity, and reliability of the service:
- Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
- Toil automation
- Define SLOs and understand SLAs
Building and implementing CI/CD pipelines for a service
- CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
- Testing a new version with Spinnaker
- Artifact repositories with Container Registry
- Design CI/CD pipelines:
- Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
- Configure deployment processes (e.g., approval flows)
- Artifact versioning strategy with Cloud Build, Container Registry
- Deployment strategies with Cloud Build, Spinnaker
- Immutable artifacts with Container Registry
Implementing service monitoring strategies
- Enabling data access logs (e.g., Cloud Audit Logs)
- Using basic vs. advanced logging filters
- Understanding the logging exclusion vs. logging export
- Sending application logs directly to Stackdriver API with Stackdriver Logging
- Enabling VPC flow logs
- Set ACL to restrict export configuration with IAM, Stackdriver Logging
- Use metric explorer for ad hoc metric analysis
- Collecting third-party and structured logs with Stackdriver Logging, Fluentd
- Sending logs to an external logging platform
- Implementing a project-level / org-level export
- Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
- Implementing logs-based metrics
- Selecting the options for logging export
- Viewing logs in the GCP Console
- Collecting GKE/Kubernetes metrics
- Set ACL to restrict access to audit logs with IAM, Stackdriver Logging
- Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
- Viewing export logs in Cloud Storage and BigQuery
- Collecting metrics from Compute Engine
- Manage application logs:
Optimizing service performance
- identify resource costs
- TCO considerations
- Troubleshoot network issues (e.g., VPC flow logs, firewall logs, latency, view network details)
- Troubleshoot issues with the image/OS
- Develop a plan to optimize areas of greatest cost or lowest utilization
- Interpret service mesh telemetry
- Consider network pricing
- Utilize Stackdriver to identify cloud resource utilization
- Manage preemptible VMs
- Identify service performance issues:
- Identify resource utilization levels
- Work with committed-use discounts
- Utilize Stackdriver Trace/Profiler to profile performance characteristics
- Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
Managing service incidents
- Coordinate roles and implement communication channels during a service incident:
- Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
- Manage stakeholder relationships
- Scaling response team and delegation
- Provide regular status updates, internal and external
- Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
- Define roles (incident commander, communication lead, operations lead)
- Rotate/hand over roles
- Identify alternatives to mitigate the issue
- Perform an investigation to isolate the most likely actual cause
- Identify probable causes of service failure
- Record major changes in incident state (When mitigated? When all clear? etc.)
- Avoid exhaustion/burnout
- Handle requests for impact assessment
What is the duration, language, and format of Google Professional Cloud DevOps Engineer Exam
- Format: Multiple choices, multiple select
- Passing score: 80%
- Length of Examination: 120 minutes
- Number of Questions: 50-60
- Language: English
Reference: https://cloud.google.com/certification/cloud-devops-engineer
Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Microservices Architecture | 14% | - Service mesh and networking
|
| Monitoring, Logging, and Debugging | 12% | - Debugging and troubleshooting
|
| Cloud Infrastructure Automation | 24% | - Configuration management
|
| CI/CD Pipeline Development | 26% | - CI/CD best practices
|
| Reliability and Site Reliability Engineering (SRE) | 24% | - SLOs, SLIs, and SLAs
|
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