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Microsoft GH-300 Exam Actual Questions | New GH-300 Exam Online

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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

Developer Use Cases for AI: Targeting Software Engineers and Technical Leads, this domain elaborates on how AI improves developer productivity across common tasks like learning new languages, translation, documentation, debugging, data science, and refactoring. It discusses Copilot’s support in software development lifecycle management and highlights its limitations. Use of the productivity API to track Copilot’s impact is also included.

Microsoft GitHub Copilot Sample Questions (Q57-Q62):

NEW QUESTION # 57
What role does chat history play in GitHub Copilot's code suggestions?

A. Chat history is irrelevant to GitHub Copilot and does not affect its functionality.
B. Chat history is stored and shared with other users to enhance collaboration.
C. Chat history provides context to GitHub Copilot, improving the relevance and accuracy of its code suggestions.
D. Chat history is used to train the GitHub Copilot model in real-time.

Answer: C

Explanation:
Chat history provides valuable context to GitHub Copilot, helping it generate more relevant and accurate code suggestions based on previous interactions and conversations.

NEW QUESTION # 58
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

A. Inclusiveness
B. Privacy and Security
C. Reliability and Safety
D. Fairness

Answer: D

Explanation:
The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.

NEW QUESTION # 59
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

A. Including personal information in the code comments
B. Clearly defining the problem or task
C. Using meaningful variable names
D. Use a .gitignore file to exclude irrelevant files
E. Providing examples of desired output

Answer: B,C,E

Explanation:
The quality of Copilot's suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.

NEW QUESTION # 60
How can GitHub Copilot aid developers in writing documentation for their code?

A. GitHub Copilot can only generate content in markdown format.
B. GitHub Copilot can suggest summaries or descriptions based on the code's functionality.
C. GitHub Copilot can automatically generate complete and detailed documentation.
D. GitHub Copilot cannot assist in writing documentation or comments.

Answer: B

Explanation:
"Copilot can suggest comments and documentation summaries that describe the functionality of the code being written." This makes option C correct, as Copilot provides summaries or descriptions rather than full automatic documentation.
References: GitHub Copilot documentation features.

NEW QUESTION # 61
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 suggestions to create data based on API documentation in the repository.
B. Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.
C. Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.
D. Utilize GitHub Copilot's capability to directly access and use databases to create sample data.

Answer: A,B

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 # 62
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