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Microsoft GH-300 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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 4
  • 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 (Q33-Q38):

NEW QUESTION # 33
Where is the proxy service hosted?

Answer: B

Explanation:
The proxy service for GitHub Copilot is hosted on Microsoft Azure.
Reference: GitHub Copilot infrastructure and hosting information.


NEW QUESTION # 34
How can GitHub Copilot assist with code refactoring tasks?

Answer: C

Explanation:
GitHub Copilot can analyze existing code and suggest refactoring improvements to enhance code quality, readability, and maintainability. It can propose changes to improve code structure, reduce complexity, and follow best practices.
Reference: GitHub Copilot documentation on code refactoring assistance.


NEW QUESTION # 35
What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Answer: A,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 # 36
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)

Answer: C,D

Explanation:
The REST API endpoints are used to add and remove teams from the Copilot Business subscription within an organization.


NEW QUESTION # 37
What content can be configured to be excluded with content exclusions? (Each correct answer presents part of the solution. Choose three.)

Answer: A,C,E

Explanation:
"Enterprise administrators can configure content exclusions to exclude entire repositories, folders, or specific files from being used by Copilot." This confirms that files, folders, and repositories can be excluded, but not individual lines or gists.
References: GitHub Copilot content exclusions documentation.


NEW QUESTION # 38
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