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Updated: Sep 02, 2026

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Google Professional-Cloud-DevOps-Engineer日本語 Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:Professional-Cloud-DevOps-Engineer
Exam Duration:120 minutes
Related Certifications:Google Cloud Associate Cloud Engineer
Google Cloud Professional Cloud Developer
Google Cloud Professional Cloud Architect
Certificate Validity Period:2 years
Available Languages:Portuguese, Spanish, Japanese, English
Real Exam Qty:50
Exam Format:Multiple Choice, Multiple Select
Exam Price:$200 USD
Passing Score:70%
Sample Questions:Google Professional-Cloud-DevOps-Engineer日本語 Sample Questions
Exam Way:Online proctored exam available through Pearson VUE or online proctoring. In-person testing at Kryterion test centers also available.
Pre Condition:Recommended: Associate Cloud Engineer certification and 3+ years industry experience including 1+ years Google Cloud experience. No mandatory prerequisites required.
Official Syllabus URL:https://cloud.google.com/certification/cloud-devops-engineer

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 exam is taken by the specialists who want to obtain international certification and get validated as professional engineers who can manage Cloud DevOps features.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

Google Professional-Cloud-DevOps-Engineer日本語 Exam Syllabus Topics:

SectionWeightObjectives
Reliability and Site Reliability Engineering (SRE)24%- Incident management
  • 1. Implementing on-call procedures
  • 2. Configuring automated incident response
  • 3. Post-incident reviews and blameless postmortems
- Monitoring and observability
  • 1. Setting up alerting policies and incident management
  • 2. Implementing distributed tracing with Cloud Trace
  • 3. Creating dashboards for service health visibility
  • 4. Configuring Cloud Monitoring and Logging
- SLOs, SLIs, and SLAs
  • 1. Creating and interpreting Service Level Indicators
  • 2. Setting appropriate Service Level Agreements
  • 3. Defining and implementing Service Level Objectives
  • 4. Error budget policies and management
Cloud Infrastructure Automation24%- Infrastructure as Code (IaC)
  • 1. Implementing with Terraform
  • 2. Implementing immutable infrastructure patterns
  • 3. Managing infrastructure modules and state
- Configuration management
  • 1. Managing secrets with Secret Manager
  • 2. Implementing configuration drift detection
  • 3. Using Ansible for configuration management
- Deployment strategies
  • 1. Rolling updates with Kubernetes
  • 2. Canary releases and progressive rollouts
  • 3. Blue-green deployments
  • 4. Feature flags with Firebase Remote Config or LaunchDarkly
CI/CD Pipeline Development26%- Containerization and Docker
  • 1. Implementing container security best practices
  • 2. Creating optimized Docker images (multi-stage builds)
  • 3. Managing container registries
- Designing and implementing CI/CD pipelines
  • 1. Configuring build triggers and webhooks
  • 2. Setting up artifact management with Artifact Registry
  • 3. Configuring build caching strategies
  • 4. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.)
  • 5. Implementing build automation scripts
- CI/CD best practices
  • 1. Configuring quality gates and code coverage
  • 2. Managing secrets in CI/CD pipelines
  • 3. Implementing shift-left testing
Microservices Architecture14%- API management
  • 1. Exposing APIs with Cloud Endpoints / Apigee
  • 2. Implementing API versioning strategies
- Service mesh and networking
  • 1. Configuring traffic management and load balancing
  • 2. Implementing service-to-service authentication
  • 3. Implementing Anthos Service Mesh / Istio
- Container orchestration with GKE
  • 1. Configuring node pools and auto-scaling
  • 2. Managing pod lifecycle and resource quotas
  • 3. Implementing workload deployment and scaling
  • 4. Designing Kubernetes cluster architectures
Monitoring, Logging, and Debugging12%- Debugging and troubleshooting
  • 1. Analyzing performance profiles with Cloud Profiler
  • 2. Using Cloud Debugger and Error Reporting
  • 3. Debugging with Cloud Trace distributed tracing
- Log management
  • 1. Structuring logs for efficient querying
  • 2. Configuring log retention policies
  • 3. Implementing log-based metrics
- Cloud Operations Suite
  • 1. Implementing Cloud Logging with log sinks
  • 2. Creating uptime checks and alerts
  • 3. Configuring Cloud Monitoring metrics

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