100% Pass Quiz Microsoft - Latest GH-300 - GitHub Copilot Exam Discount

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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 Duration:100-120
Certificate Validity Period:2 years
Passing Score:700/1000
Exam Format:Multiple response, Scenario-based questions, Drag and drop, Multiple choice
Related Certifications:GitHub Copilot Fundamentals Part 2
GitHub Copilot Fundamentals Part 1
Real Exam Qty:60-75 (approximately 65 scored + unscored items)
Available Languages:Spanish, Korean, Japanese, Portuguese (Brazil), English
Recommended Training:GitHub Copilot Fundamentals Part 2
GitHub Copilot Fundamentals Part 1
Exam Registration:Microsoft Learn Certification Page
Pearson VUE Scheduling
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
  • 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 2
  • 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 3
  • 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 4
  • 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 (Q20-Q25):

NEW QUESTION # 20
What GitHub Copilot pricing plan gives you access to your company's knowledge bases?

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 # 21
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

Answer: B,D

Explanation:
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.


NEW QUESTION # 22
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

Answer: A,B,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.
Reference: GitHub Copilot prompt engineering best practices.


NEW QUESTION # 23
What reasons could apply if code suggestions are not working in your editor? (Select three.)

Answer: B,C,D

Explanation:
Exact extracts:
* "Copilot requires an active internet connection to provide suggestions."
* "Copilot does not support all programming languages."
References: GitHub Copilot troubleshooting documentation.


NEW QUESTION # 24
What type of information can you retrieve through GitHub Copilot Business Subscriptions via REST API?
(Each correct answer presents part of the solution. Choose two.)

Answer: A,B

Explanation:
Exact extracts:
* "The REST API for Copilot Business allows you to retrieve a summary of Copilot usage metrics for organization members." References: GitHub Copilot Business REST API documentation.


NEW QUESTION # 25
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