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Microsoft GH-300 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.
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
  • 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.

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Microsoft GitHub Copilot Sample Questions (Q121-Q126):

NEW QUESTION # 121
How does the /tests slash command assist developers?

Answer: B

Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.
Reference: GitHub Copilot Chat command documentation.


NEW QUESTION # 122
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution.
Choose two.)

Answer: C,D

Explanation:
Exact extracts:
* "GitHub Copilot Chat, like all AI models, is limited by its training data and may not always provide accurate or up-to-date answers." References: GitHub Copilot Chat limitations documentation.


NEW QUESTION # 123
Select a strategy to increase the performance of GitHub Copilot Chat.

Answer: C

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 # 124
When crafting prompts for GitHub Copilot, what is a recommended strategy to enhance the relevance of the generated code?

Answer: D

Explanation:
"To get the best results from GitHub Copilot, provide clear prompts and, when possible, include examples of expected input and output." This establishes that including examples is a recommended prompt engineering strategy.
References: GitHub Copilot prompt engineering documentation.


NEW QUESTION # 125
What is used by GitHub Copilot in the IDE to determine the prompt context?

Answer: D

Explanation:
"GitHub Copilot generates suggestions based on context from the IDE, including the file you are editing, open tabs, cursor position, and any selected code." This proves that the context is drawn from editor state information, making option A correct.
References: GitHub Copilot context and suggestions documentation.


NEW QUESTION # 126
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