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| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering and AI Interaction | 9% | - Creating effective prompts - Refining prompts for better coding results - Crafting and refining prompts (prompt engineering) - Improving Copilot responses using context |
| Testing with GitHub Copilot | 9% | - Improving test coverage with AI suggestions - Generating unit tests and integration tests - Identifying edge cases - Editor configuration and org-level suggestion settings |
| GitHub Copilot Plans and Features | 31% | - Implementing and managing Copilot plans for an organization - Configuration options and productivity features - Copilot Chat and code suggestion capabilities - IDE integration (VS Code, Visual Studio, JetBrains) - Differences between Copilot Individual, Business, and Enterprise plans |
| Responsible AI with GitHub Copilot | 7% | - Risks and limitations of generative AI tools - Bias and fairness in AI-generated code - Validating AI output and mitigation strategies - Ethical AI principles and responsible use - Privacy and transparency considerations |
| Developer Use Cases for AI | 14% | - Documentation generation - Learning new languages and frameworks - SDLC support and productivity insights - Automating repetitive development tasks - Code generation and refactoring - Debugging applications |
| How GitHub Copilot Works and Handles Data | 15% | - AI model response generation - How Copilot gathers code context - Understanding that private repository content is not used to train models - The prompt creation process - Privacy and data handling within Copilot |
| Privacy Fundamentals and Context Exclusions | 15% | - Safeguards: duplication detector, contractual protection, data collection settings - Ownership of AI-generated outputs - Content exclusions at repository and organization level - Effects and limitations of content exclusions - Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot |
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NEW QUESTION # 79
A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?
Answer: A
Explanation:
GitHub Copilot Enterprise is the most cost-effective plan for managing users with an Identity Provider like Okta, as it provides enterprise-level features and integration.
Reference: GitHub Copilot pricing and features.
NEW QUESTION # 80
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?
Answer: B
Explanation:
The correct way to exclude files is through the GitHub Copilot settings in the user interface, which allows administrators to specify files and directories to be ignored.
Reference: GitHub Copilot Business content exclusion documentation.
NEW QUESTION # 81
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)
Answer: A,C
Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.
Reference: GitHub Copilot prompt engineering best practices.
NEW QUESTION # 82
How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?
Answer: D
Explanation:
GitHub Copilot can assist during the requirements analysis phase by providing templates and code snippets that aid in documenting requirements. This helps streamline the process of capturing and organizing project requirements.
NEW QUESTION # 83
How can GitHub Copilot assist with code refactoring tasks?
Answer: D
Explanation:
GitHub Copilot can analyze existing code and suggest refactoring improvements to enhance code quality, readability, and maintainability. It can propose changes to improve code structure, reduce complexity, and follow best practices.
Reference: GitHub Copilot documentation on code refactoring assistance.
NEW QUESTION # 84
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