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Microsoft GH-300 Exam Overview:

Certification Vendor:Microsoft / GitHub
Exam Name:GitHub Copilot Exam (GH-300)
Exam Number:GH-300
Exam Price:USD 99
Exam Format:Drag and drop, Multiple choice, Scenario-based questions, Multiple response
Exam Duration:100-120
Certificate Validity Period:2 years
Related Certifications:GitHub Copilot Fundamentals Part 2
GitHub Copilot Fundamentals Part 1
Available Languages:Japanese, Korean, English, Portuguese (Brazil), Spanish
Passing Score:700/1000
Real Exam Qty:60-75 (approximately 65 scored + unscored items)
Recommended Training:GitHub Copilot Fundamentals Part 2
GitHub Copilot Fundamentals Part 1
Exam Registration:Pearson VUE Scheduling
Microsoft Learn Certification Page
Sample Questions:Microsoft GH-300 Sample Questions
Exam Way:Online proctored (Pearson VUE) or test center
Pre Condition:Basic GitHub knowledge and experience using at least one programming language; familiarity with GitHub Copilot recommended but not strictly required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-copilot/

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Microsoft GH-300 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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.

Microsoft GitHub Copilot Sample Questions (Q109-Q114):

NEW QUESTION # 109
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Answer: B,D

Explanation:
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.


NEW QUESTION # 110
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

Answer: C

Explanation:
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.


NEW QUESTION # 111
Where can you validate if GitHub Copilot is not returning suggestions because of content exclusions?

Answer: A

Explanation:
Exact extracts:
* "When a file is affected by a content exclusion setting, GitHub Copilot will not suggest code completion in that file..." References: GitHub Copilot official troubleshooting documentation on content exclusions.


NEW QUESTION # 112
What kind of insights can the GitHub Copilot usage metrics API provide to help evaluate the effectiveness of GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Answer: A,B

Explanation:
Exact extracts:
* "The Copilot usage metrics API allows organizations to track the number of suggestions shown and accepted by members." References: GitHub Copilot metrics API documentation.


NEW QUESTION # 113
How can GitHub Copilot assist in maintaining consistency across your tests?

Answer: D

Explanation:
"Copilot learns from the patterns in your existing tests and suggests similar structures, which helps maintain consistency across the test suite." This confirms that Copilot supports test consistency through pattern recognition and suggestion.
References: GitHub Copilot testing documentation.


NEW QUESTION # 114
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