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How to Prepare For Google Professional Cloud DevOps Engineer Exam
Preparation Guide for Google Professional Cloud DevOps Engineer Exam
Introduction
Google has designed a track for IT professionals to endorse as a cloud DevOps Engineer on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using the industry-standard methodology to conclude whether or not an aspirant meets Google's proficiency standards.
According to Google, a Google Professional Cloud DevOps Engineer Exam test facilitates organizations to influence Google Cloud technologies. By leveraging experience implementing VPCs, DevOps services, hybrid connectivity, and security for established DevOps architectures, this individual ensures successful cloud implementations using the Google Cloud Platform Console or the command-line interface.
Certification is evidence of your skills, expertise in those areas in which you like to work. If a candidate wants to work as Google Professional Cloud DevOps Engineer and prove his knowledge, certification is offered by Google. This Google Professional Cloud DevOps Engineer Certification helps a candidate to validates his skills in Google Professional Cloud DevOps Engineer Technology.
In this guide, we will cover the Google Professional Cloud DevOps Engineer practice exams, Google Professional Cloud DevOps Engineer Certified Professionals salary, and all aspects of the Google Professional Cloud DevOps Engineer Certification.
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
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
- 1.2 Manage service life cycle:
- Discover SLIs (availability, latency, etc.)
- Toil automation
- Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
- Agree to consequences of not meeting the error budget
- Balance change, velocity, and reliability of the service:
- Construct feedback loops to decide what to build next
Building and implementing CI/CD pipelines for a service
- Design CI/CD pipelines:
- Artifact versioning strategy with Cloud Build, Container Registry
- CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
- Immutable artifacts with Container Registry
- Testing a new version with Spinnaker
- Artifact repositories with Container Registry
- Deployment strategies with Cloud Build, Spinnaker
- Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
- Configure deployment processes (e.g., approval flows)
Implementing service monitoring strategies
- Viewing export logs in Cloud Storage and BigQuery
- Use metric explorer for ad hoc metric analysis
- Collecting third-party and structured logs with Stackdriver Logging, Fluentd
- Manage application logs:
- Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
- Understanding the logging exclusion vs. logging export
- Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
- Implementing a project-level / org-level export
- Selecting the options for logging export
- Collecting metrics from Compute Engine
- Implementing logs-based metrics
- Set ACL to restrict export configuration with IAM, Stackdriver Logging
- Sending application logs directly to Stackdriver API with Stackdriver Logging
- Sending logs to an external logging platform
- Enabling data access logs (e.g., Cloud Audit Logs)
- Enabling VPC flow logs
- Viewing logs in the GCP Console
- Using basic vs. advanced logging filters
- Collecting GKE/Kubernetes metrics
- Set ACL to restrict access to audit logs with IAM, Stackdriver Logging
Optimizing service performance
- Interpret service mesh telemetry
- Identify service performance issues:
- Consider network pricing
- Troubleshoot network issues (e.g., VPC flow logs, firewall logs, latency, view network details)
- Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
- identify resource costs
- Identify resource utilization levels
- TCO considerations
- Develop a plan to optimize areas of greatest cost or lowest utilization
- Work with committed-use discounts
- Troubleshoot issues with the image/OS
- Utilize Stackdriver to identify cloud resource utilization
- Manage preemptible VMs
- Utilize Stackdriver Trace/Profiler to profile performance characteristics
Managing service incidents
- Record major changes in incident state (When mitigated? When all clear? etc.)
- Identify alternatives to mitigate the issue
- Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
- Handle requests for impact assessment
- Rotate/hand over roles
- Coordinate roles and implement communication channels during a service incident:
- Identify probable causes of service failure
- Avoid exhaustion/burnout
- Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
- Perform an investigation to isolate the most likely actual cause
- Scaling response team and delegation
- Define roles (incident commander, communication lead, operations lead)
- Provide regular status updates, internal and external
- Manage stakeholder relationships
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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement site reliability engineering (SRE) practices | - Incident management and postmortems
|
| Topic 2: Implement security and compliance | - Compliance and governance
|
| Topic 3: Develop and implement CI/CD pipelines | - Automate build, test, and deployment processes
|
| Topic 4: Optimize performance and continuous delivery | - System performance optimization
|
