Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 0 Minute(s)
Language
English
Taught by
Exam Certification
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Course Overview
400+ Questions, 6 Full Exams, All 5 Domains – GKE, Cloud Build & SLO, GCP Docs Links & Pass on First Attempt
Are you preparing for the Google Cloud Certified – Professional DevOps Engineer certification and want to ensure you're fully equipped to pass on the first try? This course offers realistic, exam-style practice tests that mirror the difficulty, structure, and focus areas of the actual GCP DevOps certification exam.
The GCP DevOps Engineer certification is designed for professionals responsible for efficient development operations that can balance service reliability and delivery speed. As a DevOps Engineer, your role involves implementing CI/CD pipelines, managing incident response, monitoring services, automating deployments, and ensuring scalability and system performance in production environments.
In this course, you'll gain access to timed practice exams that test your understanding of real-world scenarios. Each question is carefully crafted to evaluate your knowledge of Google Cloud tools and services like Cloud Build, Cloud Monitoring, Cloud Logging, Artifact Registry, Kubernetes Engine (GKE), Spinnaker, Deployment Manager, and more.
You'll also receive detailed explanations for each question, enabling you to learn not only the correct answers but the reasoning behind them. Whether you're working in a DevOps role already or transitioning from a software engineering or SRE background, these practice tests are designed to sharpen your skills and build the confidence you need to succeed on exam day.
By the end of this course, you’ll have a solid grasp of the DevOps practices, tools, and methodologies that Google Cloud emphasizes — and you'll be fully prepared to achieve certification as a Google Cloud Professional DevOps Engineer.
Topics Covered in the GCP DevOps Engineer Certification:
Applying Site Reliability Engineering (SRE) Principles
Service Level Objectives (SLOs)
Error budgets
Monitoring and alerting
Building and Implementing CI/CD Pipelines
Automating builds and tests
Configuring triggers and approvals
Deploying via Spinnaker, Cloud Build, and GKE
Managing Service Incidents
Incident response practices
Postmortem culture
Root cause analysis
Optimizing Service Performance
Monitoring with Cloud Monitoring and Logging
Performance tuning and reliability engineering
Managing Infrastructure as Code
Using Terraform and Deployment Manager
Managing cloud environments through automation
Ensuring Security and Compliance
IAM, service accounts, and least privilege access
Auditing and logging.
Course Content
- 1 section(s)
- Section 1 Practice Tests
What You’ll Learn
- Apply Site Reliability Engineering (SRE) principles such as SLIs, SLOs, and error budgets to manage and maintain production services., Build, manage, and troubleshoot CI/CD pipelines using Google Cloud tools like Cloud Build, Cloud Deploy, and Spinnaker., Monitor, log, and respond to service incidents using Cloud Monitoring, Cloud Logging, and best practices in incident management., Automate infrastructure and deployments using Infrastructure-as-Code tools such as Terraform and Google Cloud Deployment Manager.
