Microsoft GH-300 Valid Practice Questions, Real GH-300 Exam

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Microsoft GH-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Use GitHub Copilot features	30%	- IDE integration 1. File and repository exclusions 2. CLI usage and setup 3. Inline suggestions and chat usage - Organization administration 1. Policy management and feature control 2. Audit logs and subscription management - Advanced Copilot capabilities 1. Agent Mode and Edit Mode 2. Copilot Spaces and Spark 3. Pull request summaries and code review
Topic 2: Use GitHub Copilot responsibly	15%	- Responsible AI principles 1. Validation of AI-generated output 2. Ethical AI usage and governance 3. Risks and limitations of generative AI - Copilot responsible operation 1. Safe usage practices in development workflows
Topic 3: Privacy, exclusions, and safeguards	15%	- Privacy configuration 1. Content exclusions and repository controls 2. Data ownership and usage limitations - Security safeguards 1. Duplication detection 2. Security warnings and mitigations
Topic 4: Prompt engineering and context crafting	10%	- Prompt design 1. Prompt structure and context usage 2. Zero-shot and few-shot prompting - Optimization 1. Prompt refinement techniques
Topic 5: Understand GitHub Copilot data and architecture	15%	- System behavior and limitations 1. Suggestion lifecycle 2. LLM limitations - Data handling 1. Input processing and prompt construction 2. Data flow and privacy boundaries
Topic 6: Improve developer productivity with Copilot	10%	- Testing and security 1. Unit and integration test generation 2. Security and performance suggestions - Software development enhancement 1. Sample data generation 2. Legacy code modernization 3. Code generation and refactoring

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Microsoft GitHub Copilot Sample Questions (Q39-Q44):

NEW QUESTION # 39
Why is it important to ensure the security of the code used in Generative AI (Gen AI) tools?

A. Ensuring code security prevents unauthorized access and potential data breaches.
B. Ensuring code security enables the AI system to handle larger datasets effectively.
C. Ensuring code security maintains the integrity of the AI system.
D. Ensuring code security supports the development of more advanced AI features.

Answer: A

Explanation:
"Securing the code used with generative AI prevents unauthorized access, helps safeguard sensitive data, and protects against potential breaches." This confirms option A is correct because the primary importance lies in avoiding unauthorized access and breaches.
References: GitHub Copilot responsible use and AI security documentation.

NEW QUESTION # 40
1.
blog.yatricloud.com
blog.yatricloud.com

A. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
B. The API can provide feedback on coding style and standards compliance.
C. The API can refactor your code to improve productivity.
D. The API can track the acceptance rate of code suggestions accepted and used in the organization.
E. The API can provide Copilot Chat specific suggestions acceptance metrics.

Answer: D,E

Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.
Reference: GitHub Copilot usage metrics API documentation.

NEW QUESTION # 41
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?

A. Enforce blocking of MIT or GPL licensed code
B. Suggestions matching public code to 'blocked'
C. You need to check code suggestions yourself before accepting
D. Enable GitHub Copilot license checking

Answer: B

Explanation:
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.
Reference: GitHub Copilot documentation on IP protection and code filtering.

NEW QUESTION # 42
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)

A. Code suggestions
B. Knowledge Base
C. Pull Request Diff Analysis
D. Chat

Answer: A,D

Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.

NEW QUESTION # 43
What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

A. Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.
B. Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.
C. Utilize GitHub Copilot's capability to directly access and use databases to create sample data.
D. Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.

Answer: B,D

Explanation:
GitHub Copilot can generate sample data by creating fictitious information based on patterns in its training data and by using suggestions based on API documentation within the repository.

NEW QUESTION # 44
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