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Microsoft GH-300 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	GitHub Copilot
Exam Number:	GH-300
Exam Duration:	100 minutes
Passing Score:	700 / 1000
Certificate Validity Period:	1 year
Real Exam Qty:	60–65
Exam Format:	Proctored, Scenario-based, Multiple-choice
Exam Price:	$99 USD
Available Languages:	German, French, Japanese, Korean, Chinese (Simplified), Spanish, English, Arabic (Saudi Arabia), Portuguese (Brazil)
Recommended Training:	Microsoft Learn: GitHub Copilot Learning Path
Exam Registration:	Pearson VUE Registration Microsoft Learn Exam Details
Sample Questions:	Microsoft GH-300 Sample Questions
Exam Way:	Online proctored or onsite at Pearson VUE test centers
Pre Condition:	Basic familiarity with GitHub, software development workflows, and at least one programming language; no formal prerequisites required
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/GH-300

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Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
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	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 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	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.

Microsoft GitHub Copilot Sample Questions (Q57-Q62):

NEW QUESTION # 57
How does GitHub Copilot assist developers in reducing the amount of manual boilerplate code they write?

A. By refactoring the entire codebase to eliminate boilerplate code without developer input.
B. By engaging in real-time collaboration with multiple developers to write boilerplate code.
C. By suggesting code snippets that can be reused across different parts of the project.
D. By predicting future coding requirements and pre-emptively generating boilerplate code.

Answer: C

Explanation:
"Copilot helps reduce boilerplate by suggesting reusable code snippets for repetitive structures across your project." This proves that Copilot saves time by generating reusable snippets, not by preemptively or automatically refactoring entire codebases.
References: GitHub Copilot productivity documentation.

NEW QUESTION # 58
What is zero-shot prompting?

A. Giving GitHub Copilot examples of the problem you want to solve
B. Giving GitHub Copilot examples of the algorithm and outcome you want to use
C. Only giving GitHub Copilot a question as a prompt and no examples
D. Telling GitHub Copilot it needs to show only the correct answer
E. Giving as little context to GitHub Copilot as possible

Answer: C

Explanation:
"Zero-shot prompting means asking the model to perform a task without providing examples-only the question or task description is given." This confirms that the correct definition of zero-shot prompting is providing no examples, only a direct prompt.
References: GitHub Copilot and AI prompting documentation.

NEW QUESTION # 59
Which of the following statements correctly describes how GitHub Copilot Individual uses prompt data?
(Each correct answer presents part of the solution. Choose two.)

A. Prompt data is used to train machine learning models for better code suggestions.
B. Real-time user input helps generate context-aware code suggestions.
C. Prompt data is stored unencrypted for faster processing.
D. Prompt data is used internally by GitHub for improving the search engine.

Answer: A,B

Explanation:
Exact extracts:
* "For GitHub Copilot Individual, prompts and code completions may be retained and used to train machine learning models to improve Copilot." References: GitHub Copilot data usage and privacy documentation.

NEW QUESTION # 60
When can GitHub Copilot still use content that was excluded using content exclusion?

A. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
B. When the user prompts with @workspace.
C. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
D. When the repository level settings allow overrides by the user.

Answer: A

Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.
Reference: GitHub Copilot content exclusion documentation.

NEW QUESTION # 61
Which GitHub Copilot plan could an Azure DevOps organization use without requiring a GitHub Enterprise license?

A. GitHub Copilot Enterprise
B. Copilot Teams
C. GitHub Copilot for Azure DevOps
D. GitHub Copilot Individual

Answer: C

Explanation:
"GitHub Copilot for Azure DevOps is available to Azure DevOps organizations without requiring a GitHub Enterprise license." This confirms that Copilot for Azure DevOps is the correct plan for such organizations.
References: GitHub Copilot for Azure DevOps documentation.

NEW QUESTION # 62
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