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Microsoft GH-300 Exam Syllabus Topics:

Topic
Details

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

• 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

• Privacy Fundamentals and Context Exclusions: This domain focuses on Security Engineers and Compliance Officers and addresses improving code quality with Copilot’s test suggestions and security optimizations. It covers identification of security vulnerabilities, performance enhancements, and privacy features like content exclusions at repository and organization levels with explanation of their limitations. Candidates learn about safeguarding mechanisms such as duplication detection, contractual protections, security checks, and troubleshooting guide for common Copilot issues including context exclusions and suggestion gaps.

Topic 5

• 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.

 

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Microsoft GitHub Copilot Sample Questions (Q45-Q50):

NEW QUESTION # 45
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

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

Answer: B

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

 

NEW QUESTION # 46
What GitHub Copilot pricing plan gives you access to your company's knowledge bases?

• A. GitHub Copilot Enterprise
• B. GitHub Copilot Business
• C. GitHub Copilot Professional
• D. GitHub Copilot Individual

Answer: A

Explanation:
GitHub Copilot Enterprise provides access to your company's knowledge bases, enabling the tool to provide contextually relevant suggestions based on your organization's specific documentation and code.

 

NEW QUESTION # 47
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)

• A. It can answer questions about the changeset of the pull request.
• B. It generates a prose summary and a bulleted list of key changes for pull requests.
• C. It can validate the accuracy of the changes in the pull request.
• D. It automatically merges pull requests after an automated review.

Answer: A,B

Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.

 

NEW QUESTION # 48
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

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

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.

 

NEW QUESTION # 49
What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?

• A. GitHub Copilot Chat in GitHub Mobile
• B. GitHub Copilot duplication detection filter
• C. GitHub Copilot Chat in the IDE
• D. GitHub Copilot access to Bing

Answer: B

Explanation:
The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.

 

NEW QUESTION # 50
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