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Microsoft GH-300 Exam Syllabus Topics:

TopicDetails
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
  • 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 3
  • 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 4
  • 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 5
  • 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.

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Microsoft GitHub Copilot Sample Questions (Q122-Q127):

NEW QUESTION # 122
How do you generate code suggestions with GitHub Copilot in the CLI?

Answer: D

Explanation:
"To generate a suggestion, run gh copilot suggest, provide your command description, then review and select from the suggestions returned." This confirms the CLI command flow in option C.
References: GitHub Copilot CLI documentation.


NEW QUESTION # 123
What two options navigate to configure duplicate detection? (Each correct answer presents part of the solution. Choose two.)

Answer: A,B

Explanation:
"Duplicate detection and blocking of public code matches can be configured by enterprise administrators in enterprise or organization-level Copilot policies." This confirms that enterprise and organization settings are the correct paths.
References: GitHub Copilot policy configuration documentation.


NEW QUESTION # 124
What content can be configured to be excluded with content exclusions? (Each correct answer presents part of the solution. Choose three.)

Answer: B,D,E

Explanation:
Content exclusions allow you to exclude files, folders, and repositories from being used by GitHub Copilot.


NEW QUESTION # 125
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 # 126
Which scenarios can GitHub Copilot Chat be used to increase productivity? (Each correct answer presents part of the solution. Choose two.)

Answer: A,C

Explanation:
Exact extracts:
* "Copilot Chat can generate documentation based on your code."
References: GitHub Copilot Chat productivity documentation.


NEW QUESTION # 127
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