Boost Your GCP Skills: Latest Practice Test for Professional DevOps Engineer Certification - 2024
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.
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