GCP Professional DevOps Engineer Certification Practice Test - 2024

Are you gearing up for the GCP Professional DevOps Engineer certification exam? Boost your preparation with our top-tier practice questions, each complemented by in-depth answer explanations. Our practice tests are meticulously structured to encompass all aspects of GCP DevOps engineering, from fundamental concepts to complex application development and management in the cloud. The COMPREHENSIVE SOLUTION EXPLANATIONS offered at the end of each test are designed to deepen your understanding, hone your skills, and build your confidence for the real exam. Keep pace with the latest exam curriculum and standards, as our content is regularly updated to mirror the most recent developments.

COURSE FEATURES

High-quality questions + Detailed solution explanations

Reference links to official GCP documentation & reputable sources

Content that reflects the newest exam syllabus

Build knowledge, skills, & confidence for the exam

Take full-length practice exams in one sitting

Tackle intricate GCP DevOps engineering scenarios

Master time management and exam strategies

Lifetime course access for continuous certification preparation

Mobile-friendly format for learning anytime, anywhere - Accessible via the Udemy mobile app

EXAM SECTIONS AND TOPICS

Section 1: Bootstrapping a Google Cloud Organization for DevOps (~17% of the exam) - 9 questions

Designing the overall resource hierarchy for an organization (2 questions)

Projects and folders

Shared networking

Identity and Access Management (IAM) roles and organization-level policies

Creating and managing service accounts

Managing infrastructure as code (2 questions)

Infrastructure as code tooling (e.g., Cloud Foundation Toolkit, Config Connector, Terraform, Helm)

Making infrastructure changes using Google-recommended practices and infrastructure as code blueprints

Immutable architecture

Designing a CI/CD architecture stack in Google Cloud, hybrid, and multi-cloud environments (2 questions)

CI with Cloud Build

CD with Google Cloud Deploy

Widely used third-party tooling (e.g., Jenkins, Git, ArgoCD, Packer)

Security of CI/CD tooling

Managing multiple environments (e.g., staging, production) (3 questions)

Determining the number of environments and their purpose

Creating environments dynamically for each feature branch with Google Kubernetes Engine (GKE) and Terraform

Config Management

Section 2: Building and Implementing CI/CD Pipelines for a Service (~23% of the exam) - 12 questions

Designing and managing CI/CD pipelines (3 questions)

Artifact management with Artifact Registry

Deployment to hybrid and multi-cloud environments (e.g., Anthos, GKE)

CI/CD pipeline triggers

Testing a new application version in the pipeline

Configuring deployment processes (e.g., approval flows)

CI/CD of serverless applications

Implementing CI/CD pipelines (3 questions)

Auditing and tracking deployments (e.g., Artifact Registry, Cloud Build, Google Cloud Deploy, Cloud Audit Logs)

Deployment strategies (e.g., canary, blue/green, rolling, traffic splitting)

Rollback strategies

Troubleshooting deployment issues

Managing CI/CD configuration and secrets (3 questions)

Secure storage methods and key rotation services (e.g., Cloud Key Management Service, Secret Manager)

Secret management

Build versus runtime secret injection

Securing the CI/CD deployment pipeline (3 questions)

Vulnerability analysis with Artifact Registry

Binary Authorization

IAM policies per environment

Section 3: Applying Site Reliability Engineering Practices to a Service (~23% of the exam) - 12 questions

Balancing change, velocity, and reliability of the service (2 questions)

Discovering SLIs (e.g., availability, latency)

Defining SLOs and understanding SLAs

Error budgets

Toil automation

Opportunity cost of risk and reliability (e.g., number of “nines”)

Managing service lifecycle (2 questions)

Service management (e.g., introduction of a new service by using a pre-service onboarding checklist, launch plan, or deployment plan, deployment, maintenance, and retirement)

Capacity planning (e.g., quotas and limits management)

Autoscaling using managed instance groups, Cloud Run, Cloud Functions, or GKE

Implementing feedback loops to improve a service

Ensuring healthy communication and collaboration for operations (2 questions)

Preventing burnout (e.g., setting up automation processes to prevent burnout)

Fostering a culture of learning and blamelessness

Establishing joint ownership of services to eliminate team silos

Mitigating incident impact on users (3 questions)

Communicating during an incident

Draining/redirecting traffic

Adding capacity

Conducting a postmortem (3 questions)

Documenting root causes

Creating and prioritizing action items

Communicating the postmortem to stakeholders

Section 4: Implementing Service Monitoring Strategies (~21% of the exam) - 11 questions

Managing logs (2 questions)

Collecting structured and unstructured logs from Compute Engine, GKE, and serverless platforms using Cloud Logging

Configuring the Cloud Logging agent

Collecting logs from outside Google Cloud

Sending application logs directly to the Cloud Logging API

Log levels (e.g., info, error, debug, fatal)

Optimizing logs (e.g., multiline logging, exceptions, size, cost)

Managing metrics with Cloud Monitoring (2 questions)

Collecting and analyzing application and platform metrics

Collecting networking and service mesh metrics

Using Metrics Explorer for ad hoc metric analysis

Creating custom metrics from logs

Managing dashboards and alerts in Cloud Monitoring (2 questions)

Creating a monitoring dashboard

Filtering and sharing dashboards

Configuring alerting

Defining alerting policies based on SLOs and SLIs

Automating alerting policy definition using Terraform

Using Google Cloud Managed Service for Prometheus to collect metrics and set up monitoring and alerting

Managing Cloud Logging platform (2 questions)

Enabling data access logs (e.g., Cloud Audit Logs)

Enabling VPC Flow Logs

Viewing logs in the Google Cloud console

Using basic versus advanced log filters

Logs exclusion versus logs export

Project-level versus organization-level export

Managing and viewing log exports

Sending logs to an external logging platform

Filtering and redacting sensitive data (e.g., personally identifiable information [PII], protected health information [PHI])

Implementing logging and monitoring access controls (3 questions)

Restricting access to audit logs and VPC Flow Logs with Cloud Logging

Restricting export configuration with Cloud Logging

Allowing metric and log writing with Cloud Monitoring

Section 5: Optimizing the Service Performance (~16% of the exam) - 8 questions

Identifying service performance issues (3 questions)

Using Google Cloud’s operations suite to identify cloud resource utilization

Interpreting service mesh telemetry

Troubleshooting issues with compute resources

Troubleshooting deploy time and runtime issues with applications

Troubleshooting network issues (e.g., VPC Flow Logs, firewall logs, latency, network details)

SAMPLE QUESTION + SOLUTION EXPLANATION

Question: To enhance the security of your CI/CD pipeline, you need to perform vulnerability analysis on container images before deployment. Which Google Cloud service should you use, and how does it help?

A. Use Cloud Spanner to monitor container images.

B. Enable vulnerability scanning in Artifact Registry to analyze container images for known security issues, ensuring that vulnerabilities are identified and addressed before deployment.

C. Manually inspect container images for vulnerabilities.

D. Deploy container images directly without any vulnerability checks.

Correct Answer: B

Explanation: Enabling vulnerability scanning in Artifact Registry helps analyze container images for known security issues. This proactive measure ensures that vulnerabilities are identified and addressed before deployment, enhancing the security and compliance of the CI/CD pipeline.