GitHub Copilot

Published weight 15-20%. Responsible and ethical use of generative AI coding tools: risks and limitations, potential harms and mitigations, the need to validate AI output, and operating GitHub Copilot responsibly.

• Understand responsible AI principles (risks, limitations, ethics, harms and mitigations)
• Validate AI output and operate GitHub Copilot responsibly

Published weight 25-30%. Using Copilot across surfaces: the IDE (inline, chat, CLI, agent mode), the Copilot CLI, capabilities such as Agent Mode, Copilot Edits, MCP, code review, Spaces/Spark and PR summaries, and managing organization-wide settings and policies.

• Use GitHub Copilot in the IDE (enable; inline, chat, CLI, agent mode; content exclusions)
• Use the GitHub Copilot CLI (install, features and commands, interactive sessions, scripts and files)
• Use Copilot capabilities (Agent Mode, Copilot Edits, MCP, sub-agents, code review, Spaces, Spark, PR summaries, Chat)
• Manage organization-wide settings and policies (policy management, Code Review policies, audit logs, subscriptions via REST API)

Published weight 10-15%. How Copilot handles data: usage, flow and sharing; input processing and prompt building; proxy filtering and post-processing; the code-suggestion lifecycle; and the limitations of LLMs and Copilot.

• Describe data handling and flow (usage, sharing, input processing, prompt building, proxy filtering, post-processing)
• Understand the suggestion lifecycle and the limitations of LLMs and Copilot

Published weight 10-15%. Crafting effective prompts: prompt structure and context, how context is determined, zero-shot and few-shot prompting, prompt-engineering principles, and prompt process flow including chat history.

• Craft effective prompts (structure, context, zero-shot and few-shot, best practices)
• Engineer prompts for performance (principles, prompt process flow, chat-history usage)

Published weight 10-15%. Using Copilot to enhance productivity and code quality (generation, refactoring, documentation, legacy modernization) and to support testing and security (unit and integration tests, edge cases, security and performance suggestions).

• Enhance productivity and code quality (code generation, refactoring, documentation, sample data, legacy modernization)
• Support testing and security (unit and integration tests, edge cases, assertions, security and performance suggestions)

Published weight 10-15%. Managing privacy settings and content exclusions, ownership and limitations of outputs, enabling public-code matching filters, and troubleshooting suggestions and content exclusions.

• Manage privacy settings and content exclusions (editor settings, ownership and limitations of outputs)
• Apply safeguards and troubleshoot (public-code matching filter, resolving suggestion and exclusion issues)