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Microsoft GH-300 Exam Syllabus Topics:

SectionWeightObjectives
Prompt Engineering and AI Interaction9%- Crafting and refining prompts (prompt engineering)
- Improving Copilot responses using context
- Creating effective prompts
- Refining prompts for better coding results
GitHub Copilot Plans and Features31%- Copilot Chat and code suggestion capabilities
- Implementing and managing Copilot plans for an organization
- Configuration options and productivity features
- IDE integration (VS Code, Visual Studio, JetBrains)
- Differences between Copilot Individual, Business, and Enterprise plans
Developer Use Cases for AI14%- Learning new languages and frameworks
- SDLC support and productivity insights
- Debugging applications
- Automating repetitive development tasks
- Documentation generation
- Code generation and refactoring
Privacy Fundamentals and Context Exclusions15%- Safeguards: duplication detector, contractual protection, data collection settings
- Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot
- Effects and limitations of content exclusions
- Content exclusions at repository and organization level
- Ownership of AI-generated outputs
Testing with GitHub Copilot9%- Editor configuration and org-level suggestion settings
- Improving test coverage with AI suggestions
- Identifying edge cases
- Generating unit tests and integration tests
Responsible AI with GitHub Copilot7%- Validating AI output and mitigation strategies
- Privacy and transparency considerations
- Ethical AI principles and responsible use
- Risks and limitations of generative AI tools
- Bias and fairness in AI-generated code
How GitHub Copilot Works and Handles Data15%- Understanding that private repository content is not used to train models
- Privacy and data handling within Copilot
- How Copilot gathers code context
- The prompt creation process
- AI model response generation

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Microsoft GitHub Copilot Sample Questions (Q96-Q101):

NEW QUESTION # 96
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

Answer: A

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.


NEW QUESTION # 97
Which GitHub Copilot pricing plans include features that exclude your GitHub Copilot data like usage, prompts, and suggestions from default training GitHub Copilot? (Choose two correct answers.)

Answer: A,B


NEW QUESTION # 98
What two options navigate to configure duplicate detection? (Each correct answer presents part of the solution. Choose two.)

Answer: B,D

Explanation:
"Duplicate detection and blocking of public code matches can be configured by enterprise administrators in enterprise or organization-level Copilot policies." This confirms that enterprise and organization settings are the correct paths.
References: GitHub Copilot policy configuration documentation.


NEW QUESTION # 99
Which GitHub Copilot plan allows for prompt and suggestion collection?

Answer: B

Explanation:
GitHub Copilot Enterprise allows for prompt and suggestion collection, enabling organizations to analyze and improve their usage of the tool.
Reference: GitHub Copilot Enterprise data collection documentation.


NEW QUESTION # 100
Select a strategy to increase the performance of GitHub Copilot Chat.

Answer: A

Explanation:
Applying prompt engineering techniques to be more specific is the best strategy to increase the performance and relevance of GitHub Copilot Chat's responses.


NEW QUESTION # 101
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