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GitLab Certified Duo Agent Platform Associate

CERTIFIED-GITLAB-DUO-AI-ASSOCIATEGitLab Certified Duo Associate

The GitLab Duo (AI) Associate certification validates your ability to leverage GitLab Duo's AI-powered features across the software development lifecycle. It is designed for developers, DevOps engineers, and team leads who want to boost productivity with AI-assisted code generation, code review, and issue management. Earning this credential demonstrates practical, responsible use of AI in GitLab workflows.

242 practice questions

5Domains
11Objectives
63Concepts
242Questions

CERTIFIED-GITLAB-DUO-AI-ASSOCIATE Curriculum

Every domain, objective, and concept the CERTIFIED-GITLAB-DUO-AI-ASSOCIATE exam measures.

Use agentic chat in GitLab Duo

5 concepts · 14 questions
  1. Understanding agentic chat
  2. Initiating agentic chat
  3. Selecting agents
  4. Managing agentic chat sessions
  5. Using agentic chat for tasks
  1. Understanding GitLab Duo agent types
  2. Matching agents to development tasks
  3. Evaluating agent capabilities and limitations

Configure custom agents

8 concepts · 26 questions
  1. Custom agent configuration basics
  2. Agent definition structure
  3. Setting agent instructions
  4. Configuring agent tools
  5. Agent variables and secrets
  6. Agent permissions and access
  7. Testing and validating custom agents
  8. Deploying and updating custom agents

Publish custom agents and flows

5 concepts · 11 questions
  1. Publishing custom agents
  2. Publishing custom flows
  3. Versioning and updates
  4. Access and visibility
  5. Monitoring and maintenance

  1. MCP Overview
  2. MCP Architecture
  3. Configuring MCP Servers
  4. Using MCP Tools
  5. Security and Permissions
  1. MCP integration overview
  2. Configuring MCP servers
  3. Managing MCP tools
  4. Using MCP tools in conversations
  5. Troubleshooting MCP integrations

Apply AI-assisted code creation

8 concepts · 26 questions
  1. AI-assisted code creation overview
  2. Code generation with GitLab Duo
  3. Code completion
  4. Refactoring and improving code
  5. Generating tests
  6. Explaining code
  7. Translating code between languages
  8. Integrating AI-assisted creation into workflow

Use AI-assisted code review

6 concepts · 24 questions
  1. AI-assisted code review basics
  2. Initiating AI-assisted code review
  3. Interpreting AI review feedback
  4. Applying AI review suggestions
  5. Managing AI review interactions
  6. Best practices for AI-assisted review

Apply AI-assisted security workflows

5 concepts · 19 questions
  1. Identify security vulnerabilities in code
  2. Apply AI-assisted security scanning
  3. Interpret AI security findings
  4. Remediate security issues with AI assistance
  5. Integrate security workflows into development

  1. Agentic AI definition
  2. GitLab Duo agentic capabilities
  3. Autonomous task execution
  4. Agentic AI workflow integration
  5. Human oversight and control
  6. Use cases for agentic AI
  1. AI-assisted development lifecycle overview
  2. AI in planning and requirements
  3. AI in code creation
  4. AI in code review
  5. AI in testing and quality
  6. AI in deployment and operations
  7. AI in documentation and collaboration
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for CERTIFIED-GITLAB-DUO-AI-ASSOCIATE, so none is invented.