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Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Responsible :This section of the exam measures skills of AI Ethics Officers and Risk Managers and covers the responsible and ethical usage of AI technologies. It explains the risks and limitations associated with generative AI tools, including biases in training data and the need to validate AI outputs. Candidates learn how to operate AI responsibly by identifying potential harms such as bias, fairness, privacy concerns, and mitigating these harms by applying ethical AI principles.
Topic 3	Domain 4: Prompt Crafting and Prompt Engineering This section measures skills of Software Developers and AI Interaction Designers in effectively crafting prompts to optimize Copilot’s output. It reviews foundational concepts such as prompt components, the role of language in prompting, zero-shot vs. few-shot prompting, and how chat history influences responses. Best practices and engineering principles for prompt design and training methods are also covered.

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Microsoft GitHub Copilot Sample Questions (Q120-Q125):

NEW QUESTION # 120
What is zero-shot prompting?

A. Only giving GitHub Copilot a question as a prompt and no examples
B. Giving as little context to GitHub Copilot as possible
C. Giving GitHub Copilot examples of the algorithm and outcome you want to use
D. Telling GitHub Copilot it needs to show only the correct answer
E. Giving GitHub Copilot examples of the problem you want to solve

Answer: A

Explanation:
Zero-shot prompting involves asking GitHub Copilot a question or giving a task without providing any examples. This relies on the model's pre-existing knowledge to generate a response.

NEW QUESTION # 121
How can GitHub Copilot assist in maintaining consistency across your tests?

A. By automatically fixing all tests in the code based on the context.
B. By writing the implementation code for the function based on context.
C. By providing documentation references based on industry best practices.
D. By identifying a pattern in the way you write tests and suggesting similar patterns for future tests.

Answer: D

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 # 122
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

A. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
B. By running the gh copilot fix command.
C. By using the "/fix" command in GitHub Copilot in-line chat.
D. By adding comments to your code and triggering a suggestion.
E. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."

Answer: D,E

Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.
Reference: GitHub Copilot refactoring documentation.

NEW QUESTION # 123
Why is it important to ensure the security of the code used in Generative AI (Gen AI) tools?

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

Answer: C

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 # 124
You have a GitHub repository named Repo1 that has GitHub Copilot enabled.
The developers at your company use Repo1 in Microsoft Visual Studio Code.
You need to identify potentially unoriginal suggestions and prevent secrets from being committed to Repo1.
The solution must ensure that the developers can use inline GitHub Copilot suggestions in Visual Studio Code.
Which two actions should you perform? Each correct answer presents part of the solution.

A. Enable code referencing for GitHub Copilot completions.
B. Enable push protection for secret scanning on Repo1.
C. Add repository custom instructions for secure coding, or create a custom push policy and configure a code check run.
D. Disable inline GitHub Copilot suggestions in the IDE.

Answer: A,B

Explanation:
Two separate GitHub features satisfy the security requirements. Push protection is part of secret scanning and blocks supported secrets before they are pushed to a repository, helping prevent credentials from being committed. GitHub Copilot code referencing addresses potentially unoriginal suggestions: when public-code matches are allowed, accepted inline suggestions that match public GitHub code can be logged with source URLs and license information so developers can review the origin. Disabling inline suggestions would violate the requirement that developers continue using Copilot completions. Repository custom instructions may influence generated code, but they do not replace secret scanning or public-code matching. Therefore, enabling push protection together with Copilot code referencing is the correct combination.

NEW QUESTION # 125
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