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Microsoft GH-300 Exam Syllabus Topics:

TopicDetails
Topic 1
  • How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.
Topic 2
  • GitHub Copilot Plans and Feature: This domain targets Product Managers and DevOps Engineers and focuses on understanding the various GitHub Copilot subscription plans like Individual, Business, and Enterprise, including distinctions and management features. It covers how Copilot is integrated into IDEs, different triggering methods for code suggestions, organizational policy management, subscription administration via API, and effective use of Copilot Chat and Knowledge Bases. Candidates also learn about CLI usage and configuration.
Topic 3
  • Privacy Fundamentals and Context Exclusions: This domain focuses on Security Engineers and Compliance Officers and addresses improving code quality with Copilot’s test suggestions and security optimizations. It covers identification of security vulnerabilities, performance enhancements, and privacy features like content exclusions at repository and organization levels with explanation of their limitations. Candidates learn about safeguarding mechanisms such as duplication detection, contractual protections, security checks, and troubleshooting guide for common Copilot issues including context exclusions and suggestion gaps.

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Microsoft GitHub Copilot Sample Questions (Q75-Q80):

NEW QUESTION # 75
What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?

Answer: B

Explanation:
"On GitHub Mobile, you can use emojis in the Copilot Chat interface to provide quick feedback on the responses." This makes option A correct.
References: GitHub Copilot Mobile documentation.


NEW QUESTION # 76
What kind of insights can the GitHub Copilot usage metrics API provide to help evaluate the effectiveness of GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Answer: A,D

Explanation:
Exact extracts:
* "The Copilot usage metrics API allows organizations to track the number of suggestions shown and accepted by members." References: GitHub Copilot metrics API documentation.


NEW QUESTION # 77
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

Answer: B,D

Explanation:
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.


NEW QUESTION # 78
You start GitHub Copilot CLI from a directory named /repo/app. You store test files in a directory named
/repo/tests.
You need to add /repo/tests as a trusted directory without restarting GitHub Copilot CLI. The solution must ensure that GitHub Copilot can access and modify the files.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 79
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 # 80
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