Become a Certified GCP DevOps Engineer — From Pipeline to Production
In today’s cloud-first landscape, organizations demand engineers who can deliver software rapidly, reliably, and securely. The Google Professional Cloud DevOps Engineer certification validates your ability to build and manage modern, automated, and resilient systems on Google Cloud Platform (GCP). This Google Professional Cloud DevOps Engineer Mock Tests course with 6 practice tests and 360 questions guides you through hands‑on labs, scenario-based tasks, and timed practice assessments tailored to the actual exam blueprint.
By completing this course, you will be fully prepared to pass the Google Professional Cloud DevOps Engineer exam and emerge as a proficient DevOps leader capable of building, monitoring, and securing scalable platforms on GCP. Through extensive hands-on laboratories, exam tactics, and industry-aligned practices, you’ll elevate your career and earn a credential valued by modern, tech-driven organizations. Enroll now to accelerate your path to certification and cloud innovation.
Gururo is a PMI Authorized Training Partner
At-a-glance
Best for
- Business analysts
- DevOps professionals
- Site Reliability Engineers
- Anyone serious
Why Gururo?
- Lowest Cost
- PMI Authorized Training Partner (ATP)
- 24*7 Support
- 365 days access
Course Details
- 6 full-length practice exams
- 360+ challenging questions
- Instant Access
- Certificate of Completion
Highlights
- Realistic Exam Simulation
- Aligned with Google’s exam blueprint
- Progress Tracking & Review option
- Unlimited Attempts
What You’ll Learn
- Design and implement CI/CD pipelines using Google Cloud Build, Artifact Registry, and Cloud Source Repositories.
- Automate infrastructure deployment with Terraform or Deployment Manager integrated with GCP services.
- Manage Kubernetes workloads on Google Kubernetes Engine (GKE), including scaling, rolling updates, and task troubleshooting.
- Implement observability through Stackdriver Monitoring, Logging, Error Reporting, and Cloud Trace.
- Configure service reliability and performance through SLOs, SLIs, and Error Budgets.
- Automate policy enforcement using Organization Policy Service, IAM roles, and resource hierarchy.
- Implement effective incident response using alerting policies, on-call rotations, and remediation runbooks.
- Apply security best practices via Cloud IAM, VPC Service Controls, and Secret Manager.
- Diagnose and fix performance issues using profiling, tracing, and logging analysis.
- Demonstrate GCP DevOps readiness under exam conditions through timed and scenario-based testing.
What’s included?
- 6 Full-Length GCP DevOps Practice Tests – 360+ total questions designed to cover all critical aspects of the GCP DevOps exam.
- Unlimited Retakes – Practice as many times as needed to achieve mastery.
- Timed Exam Simulations – Develop speed and accuracy with real-world exam conditions.
- 365 Days Access – Study anytime, anywhere, with 365 Days Access.
What You'll Gain:
- CI/CD mastery: Build pipelines using Cloud Build and integrate with Container Registry and source repos.
- Infrastructure automation expertise: Provision and update resources consistently using Terraform or Deployment Manager.
- Container orchestration proficiency: Deploy, monitor, and optimize workloads on GKE clusters.
- Observability fluency: Use Stackdriver Monitoring, Logging, Trace, and Error Reporting to maintain system health.
- Reliability engineering skills: Define SLOs, monitor SLIs, manage errors, and maintain service reliability.
- Incident response readiness: Configure alerts, on-call rotations, and automated runbooks for rapid issue resolution.
- Security and governance strategies: Enforce identity, access, and policy controls throughout resource hierarchy.
- Performance troubleshooting ability: Investigate and resolve performance bottlenecks with real‑time diagnostics.
- Practical GCP DevOps proficiency: Transition from certification to real-world application in professional environments.
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Course Requirements / Prerequisites
- A GCP account with billing enabled and permissions for infrastructure provisioning.
- Basic familiarity with Linux command line and scripting.
- Understanding of containerization concepts (Docker) and Kubernetes fundamentals.
- Willingness to use Infrastructure-as-Code tools like Terraform or Deployment Manager.
- A mindset for automation-focused DevOps practices.
- Readiness to set up CI/CD pipelines using Cloud Build.
- Access to text editors and GCP CLI (gcloud, kubectl, terraform).
- Willingness to interpret and analyze logs and metrics in Stackdriver.
- Curiosity about SRE concepts: uptime, latency, errors, and resource budgets.
- No prior GCP experience required—course begins with fundamentals and scales to advanced topics.
Who this course is for:
- Cloud engineers aiming to specialize in GCP DevOps and SRE practices.
- DevOps professionals seeking certification as Google Professional Cloud DevOps Engineer.
- Site Reliability Engineers (SREs) looking to refine incident response and reliability strategies.
- Software developers focused on deploying and managing GCP-native applications.
- System administrators transitioning to cloud-native operational roles.
- Platform engineers building and maintaining Kubernetes clusters on GKE.
- Infrastructure architects who implement and govern IaC in GCP environments.
- Consultants delivering robust DevOps automation on Google Cloud.
- IT teams seeking unified, self-managed CI/CD and monitoring pipelines.
- Certification seekers preparing through hands-on, exam-focused labs and practice tests.
