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Updated: Oct 25, 2026
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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.
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
- 1.2 Manage service life cycle:
- Agree to consequences of not meeting the error budget
- Construct feedback loops to decide what to build next
- Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
- Define SLOs and understand SLAs
- Toil automation
- Discover SLIs (availability, latency, etc.)
- Balance change, velocity, and reliability of the service:
Building and implementing CI/CD pipelines for a service
- Immutable artifacts with Container Registry
- Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
- Design CI/CD pipelines:
- CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
- Testing a new version with Spinnaker
- Configure deployment processes (e.g., approval flows)
- Artifact versioning strategy with Cloud Build, Container Registry
- Deployment strategies with Cloud Build, Spinnaker
- Artifact repositories with Container Registry
Implementing service monitoring strategies
- Collecting third-party and structured logs with Stackdriver Logging, Fluentd
- Collecting metrics from Compute Engine
- Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
- Sending logs to an external logging platform
- Use metric explorer for ad hoc metric analysis
- Understanding the logging exclusion vs. logging export
- Set ACL to restrict export configuration with IAM, Stackdriver Logging
- Viewing export logs in Cloud Storage and BigQuery
- Using basic vs. advanced logging filters
- Enabling data access logs (e.g., Cloud Audit Logs)
- Manage application logs:
- Sending application logs directly to Stackdriver API with Stackdriver Logging
- Implementing a project-level / org-level export
- Set ACL to restrict access to audit logs with IAM, Stackdriver Logging
- Implementing logs-based metrics
- Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
- Enabling VPC flow logs
- Selecting the options for logging export
- Collecting GKE/Kubernetes metrics
- Viewing logs in the GCP Console
Optimizing service performance
- Work with committed-use discounts
- Troubleshoot network issues (e.g., VPC flow logs, firewall logs, latency, view network details)
- Consider network pricing
- Identify service performance issues:
- TCO considerations
- identify resource costs
- Utilize Stackdriver Trace/Profiler to profile performance characteristics
- Interpret service mesh telemetry
- Develop a plan to optimize areas of greatest cost or lowest utilization
- Troubleshoot issues with the image/OS
- Manage preemptible VMs
- Identify resource utilization levels
- Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
- Utilize Stackdriver to identify cloud resource utilization
Managing service incidents
- Record major changes in incident state (When mitigated? When all clear? etc.)
- Perform an investigation to isolate the most likely actual cause
- Handle requests for impact assessment
- Avoid exhaustion/burnout
- Manage stakeholder relationships
- Identify probable causes of service failure
- Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
- Provide regular status updates, internal and external
- Identify alternatives to mitigate the issue
- Scaling response team and delegation
- Define roles (incident commander, communication lead, operations lead)
- Coordinate roles and implement communication channels during a service incident:
- Rotate/hand over roles
- Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
Reference: https://cloud.google.com/certification/cloud-devops-engineer
Introduction to Google Professional Cloud DevOps Engineer Exam
Google Professional Cloud DevOps Engineer Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud DevOps engineer in the IT industry.
After passing this Professional Cloud DevOps Engineer Exam test, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud DevOps Engineer to their clients and employers.
Google Professional-Cloud-DevOps-Engineer 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 |
| Real Exam Qty: | 50-60 |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed |
| Exam Format: | Multiple choice, Multiple select |
| Exam Price: | $200 (plus tax where applicable) |
| Available Languages: | Japanese, English |
| Related Certifications: | Professional Cloud Developer Professional Cloud Security Engineer Professional Cloud Network Engineer Professional Cloud Architect |
| Recommended Training: | Exam Guide Professional Cloud DevOps Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Cloud-DevOps-Engineer Sample Questions |
| Exam Way: | Online proctored (remote) or onsite proctored (testing center) |
| Pre Condition: | No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-devops-engineer |
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.
Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applying site reliability engineering practices | 18% | - Design for resilience
|
| Topic 2: Optimizing performance and cost | 17% | - Apply FinOps practices
|
| Topic 3: Bootstrapping and maintaining a Google Cloud organization | 20% | - Set up governance and compliance
|
| Topic 4: Implementing observability and troubleshooting | 20% | - Troubleshoot complex issues
|
| Topic 5: Building and implementing CI/CD pipelines | 25% | - Implement and secure pipelines
|
Google Cloud Certified - Professional Cloud DevOps Engineer Sample Questions:
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?
- A. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
- B. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
- C. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.
- D. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
Correct Answer: D 🗳️
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Your company operates in a highly regulated domain. Your security team requires that only trusted container images can be deployed to Google Kubernetes Engine (GKE). You need to implement a solution that meets the requirements of the security team, while minimizing management overhead. What should you do?
- A. Use Cloud Run to write and deploy a custom validator Enable an Eventarc trigger to perform validations when new images are uploaded.
- B. Configure Binary Authorization in your GKE clusters to enforce deploy-time security policies
- C. Configure Kritis to run in your GKE clusters to enforce deploy-time security policies.
- D. Grant the roles/artifactregistry. writer role to the Cloud Build service account. Confirm that no employee has Artifact Registry write permission.
Correct Answer: B 🗳️
You are currently planning how to display Cloud Monitoring metrics for your organization's Google Cloud projects. Your organization has three folders and six projects:
You want to configure Cloud Monitoring dashboards lo only display metrics from the projects within one folder You need to ensure that the dashboards do not display metrics from projects in the other folders You want to follow Google-recommended practices What should you do?
- A. Use the current app-one-dev, app-one-staging and app-one-prod projects as the scoping project for each folder
- B. Use the current app-one-prod project as the scoping project
- C. Create a single new scoping project
- D. Create new scoping projects for each folder
Correct Answer: C 🗳️
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You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. You want to prevent these fields from being written in new log entries as quickly as possible. What should you do?
- A. Use the fluent-plugin-record-reformer Fluentd output plugin to remove the fields from the log entries in flight.
- B. Wait for the application developers to patch the application, and then verify that the log entries are no longer exposing PII.
- C. Use the filter-record-transformer Fluentd filter plugin to remove the fields from the log entries in flight.
- D. Stage log entries to Cloud Storage, and then trigger a Cloud Function to remove the fields and write the entries to Stackdriver via the Stackdriver Logging API.
Correct Answer: C 🗳️
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?
- A. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
- B. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
- C. Reroute the user traffic from the affected region to other regions that don't report issues.
- D. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
Correct Answer: C 🗳️
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