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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: GitHub Copilot Plans and Features | 31% | - Copilot Chat and code suggestion capabilities - IDE integration (VS Code, Visual Studio, JetBrains) - Differences between Copilot Individual, Business, and Enterprise plans - Configuration options and productivity features - Implementing and managing Copilot plans for an organization |
| Topic 2: Testing with GitHub Copilot | 9% | - Editor configuration and org-level suggestion settings - Identifying edge cases - Generating unit tests and integration tests - Improving test coverage with AI suggestions |
| Topic 3: How GitHub Copilot Works and Handles Data | 15% | - Understanding that private repository content is not used to train models - How Copilot gathers code context - The prompt creation process - AI model response generation - Privacy and data handling within Copilot |
| Topic 4: 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 |
| Topic 5: Privacy Fundamentals and Context Exclusions | 15% | - Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot - Effects and limitations of content exclusions - Content exclusions at repository and organization level - Safeguards: duplication detector, contractual protection, data collection settings - Ownership of AI-generated outputs |
| Topic 6: Responsible AI with GitHub Copilot | 7% | - Risks and limitations of generative AI tools - Bias and fairness in AI-generated code - Ethical AI principles and responsible use - Privacy and transparency considerations - Validating AI output and mitigation strategies |
| Topic 7: Developer Use Cases for AI | 14% | - Documentation generation - Code generation and refactoring - Learning new languages and frameworks - Debugging applications - Automating repetitive development tasks - SDLC support and productivity insights |
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NEW QUESTION # 108
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
Answer: C
Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrives at its decisions and suggestions.
NEW QUESTION # 109
What type of information can you retrieve through GitHub Copilot Business Subscriptions via REST API?
(Each correct answer presents part of the solution. Choose two.)
Answer: A,C
Explanation:
Exact extracts:
* "The REST API for Copilot Business allows you to retrieve a summary of Copilot usage metrics for organization members." References: GitHub Copilot Business REST API documentation.
NEW QUESTION # 110
How can GitHub Copilot assist in maintaining consistency across your tests?
Answer: A
Explanation:
"Copilot learns from the patterns in your existing tests and suggests similar structures, which helps maintain consistency across the test suite." This confirms that Copilot supports test consistency through pattern recognition and suggestion.
References: GitHub Copilot testing documentation.
NEW QUESTION # 111
Which GitHub Copilot plan could an Azure DevOps organization use without requiring a GitHub Enterprise license?
Answer: D
Explanation:
"GitHub Copilot for Azure DevOps is available to Azure DevOps organizations without requiring a GitHub Enterprise license." This confirms that Copilot for Azure DevOps is the correct plan for such organizations.
References: GitHub Copilot for Azure DevOps documentation.
NEW QUESTION # 112
How does GitHub Copilot typically handle code suggestions that involve deprecated features or syntax of programming languages?
Answer: B
Explanation:
"GitHub Copilot may sometimes suggest deprecated code, APIs, or patterns if these appear in its training data. Users are responsible for reviewing and updating the suggestions." This confirms that Copilot does not automatically update or reject deprecated features, but may still suggest them if they were part of training.
References: GitHub Copilot usage limitations documentation.
NEW QUESTION # 113
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