Google Professional Cloud DevOps Engineer (GCP) Practice Exam
Google Professional Cloud DevOps Engineer (GCP)
About Google Professional Cloud DevOps Engineer (GCP)
Google Professional Cloud DevOps Engineer (GCP) exam has been designed to test technical skills related to the job role. Candidates preparing for the exam should have hands-on experience. Google Professional Cloud DevOps Engineer exam assesses the candidates ability to -
- Apply site reliability engineering principles to a service
- Optimize service performance
- Implement service monitoring strategies
- Build and implement CI/CD pipelines for a service
- Manage service incidents
Who should take the exam?
Candidates planning to go for Professional Cloud DevOps Engineer will be responsible for efficient development operations that can balance service reliability and delivery speed. Also, they should have the skills to use Google Cloud Platform to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.
Exam Format
- Exam Name: Professional Cloud DevOps Engineer
- Exam Duration: 2 hours
- Exam Language: English
- Exam format: Multiple choice and multiple select
- Prerequisites: None
- Recommended experience: Three+ years of industry experience including one+ years managing solutions on GCP.
Course Structure
The Google Professional Cloud DevOps Engineer (GCP) exam covers the latest and updated topics -
Domain 1: Understanding to set up a Google Cloud Organization for DevOps (approx 17%)
1.1 Explain Designing Organizational Resource Hierarchy
- Learn projects and folders
- Learn shared networking
- Learn identity and Access Management (IAM) roles and organization-wide policies
- Learn creation and management of service accounts
1.2 Explain Managing Infrastructure as Code (IaC)
- Learn infrastructure as code tools (e.g., Cloud Foundation Toolkit, Config Connector, Terraform, Helm)
- Learn implementing infrastructure changes following best practices and Google’s infrastructure blueprints
- Learn utilizing immutable architecture
1.3 Explain Building a CI/CD Architecture
- Learn considerations for Google Cloud, hybrid, and multi-cloud environments include:
- Learn continuous integration (CI) with Cloud Build
- Learn continuous delivery (CD) with Google Cloud Deploy
- Learn using third-party tools (e.g., Jenkins, Git, ArgoCD, Packer)
- Learn securing the CI/CD toolchain
1.4 Managing Multiple Environments
- Learn determining the number and purpose of environments (e.g., staging, production)
- Learn dynamically creating environments for each feature branch using Google Kubernetes Engine (GKE) and Terraform
- Learn configuration management
Domain 2 - Understanding to develop and implement CI/CD Pipelines for Services (approx 23%)
2.1 Explain Designing and Managing CI/CD Pipelines
- Learn artifact management with Artifact Registry
- Learn deployment strategies for hybrid and multi-cloud environments (e.g., Anthos, GKE)
- Learn pipeline triggers
- Learn testing new application versions
- Learn configuring deployment processes (e.g., approvals)
- Learn CI/CD for serverless applications
2.2 Explain Implementing CI/CD Pipelines
- Learn auditing and tracking deployments using Artifact Registry, Cloud Build, Cloud Audit Logs
- Learn various deployment strategies (e.g., canary, blue/green, rolling)
- Learn rollback strategies and troubleshooting deployment issues
2.3 Explain Managing Configuration and Secrets in CI/CD Pipelines
- Learn secure storage methods and key rotation (e.g., Cloud Key Management Service, Secret Manager)
- Learn secret management
- Learn injecting secrets during build or runtime
2.4 Explain Securing the CI/CD Pipeline
- Learn vulnerability analysis with Artifact Registry
- Learn binary Authorization
- Learn environment-specific IAM policies
Domain 3 - Understand applying Site Reliability Engineering (SRE) Practices (approx 23%)
3.1 Explain Balancing Change, Velocity, and Service Reliability
- Learn defining service-level indicators (SLIs), objectives (SLOs), and agreements (SLAs)
- Learn managing error budgets
- Learn automating toil to reduce manual operations
- Learn balancing risk and reliability
3.2 Explain Managing Service Lifecycle
- Learn service management (e.g., onboarding, deployment, maintenance, retirement)
- Learn capacity planning with quotas and limits
- Learn autoscaling using managed instance groups, Cloud Run, Cloud Functions, or GKE
- Learn implementing feedback loops to improve services
3.3 Explain Promoting Healthy Operations Communication
- Learn preventing burnout through automation
- Learn fostering a culture of learning and blamelessness
- Learn establishing joint service ownership to break down silos
3.4 Explain Mitigating Incident Impact
- Learn communication during incidents
- Learn draining or redirecting traffic
- Learn adding capacity when needed
3.5 Explain Conducting Postmortems
- Learn documenting root causes
- Learn creating and prioritizing action items
- Learn communicating the postmortem to stakeholders
Domain 4 - Understand to implement Monitoring Strategies (~21% of the exam)
4.1 Explain Managing Logs
- Learn collecting logs from Compute Engine, GKE, and serverless platforms using Cloud Logging
- Learn configuring logging agents and collecting logs from non-Google Cloud sources
- Learn sending application logs to Cloud Logging API
- Learn managing log levels and optimizing for size and cost
4.2 Explain Managing Metrics with Cloud Monitoring
- Learn gathering and analyzing platform and application metrics
- Learn collecting networking and service mesh metrics
- Learn using Metrics Explorer for ad hoc analysis
- Learn creating custom metrics from logs
4.3 Explain Managing Dashboards and Alerts
- Learn creating monitoring dashboards and configuring alerting
- Learn defining policies based on SLOs/SLIs
- Learn automating alert definitions using Terraform
- Learn using Google Cloud Managed Service for Prometheus for metrics and alerts
4.4 Explain Managing Cloud Logging
- Learn enabling data access logs (e.g., Cloud Audit Logs, VPC Flow Logs)
- Learn using log filters, managing exports, and viewing logs in the Cloud Console
- Learn sending logs to external platforms and filtering sensitive data
4.5 Explain Implementing Logging and Monitoring Access Controls
- Learn restricting access to audit logs and configuring export rules
- Learn allowing metric and log writing through Cloud Monitoring
Domain 5 - Understanding to optimize Service Performance (~16% of the exam)
5.1 Explain Identifying Performance Issues
- Learn using Google Cloud’s operations suite to identify resource utilization
- Learn troubleshooting service mesh telemetry, compute, deployment, runtime, and network issues
5.2 Explain Using Debugging Tools
- Learn using tools like Cloud Logging, Trace, Profiler, Error Reporting, and Monitoring for debugging
5.3 Explain Optimizing Resource Utilization and Costs
- Learn using preemptible/Spot VMs
- Learn leveraging committed-use and sustained-use discounts
- Learn optimizing network tiers and resource sizing recommendations
What do we offer?
- Full-Length Mock Test with unique questions in each test set
- Practice objective questions with section-wise scores
- In-depth and exhaustive explanation for every question
- Reliable exam reports to evaluate strengths and weaknesses
- Latest Questions with an updated version
- Tips & Tricks to crack the test
- Unlimited access
What are our Practice Exams?
- Practice exams have been designed by professionals and domain experts that simulate real time exam scenario.
- Practice exam questions have been created on the basis of content outlined in the official documentation.
- Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
- Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
- You can also create your own practice exam based on your choice and preference
