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Microsoft GH-300 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | GitHub Copilot |
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| Exam Number: | GH-300 |
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| Certificate Validity Period: | 1 year |
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| Available Languages: | Spanish, Korean, Chinese (Simplified), English, Japanese, Arabic (Saudi Arabia), German, French, Portuguese (Brazil) |
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| Real Exam Qty: | 60–65 |
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| Passing Score: | 700 / 1000 |
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| Exam Duration: | 100 minutes |
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| Exam Format: | Multiple-choice, Scenario-based, Proctored |
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| Exam Price: | $99 USD |
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| Recommended Training: | Microsoft Learn: GitHub Copilot Learning Path |
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| Exam Registration: | Pearson VUE Registration
Microsoft Learn Exam Details |
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| Sample Questions: | Microsoft GH-300 Sample Questions |
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| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
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| Pre Condition: | Basic familiarity with GitHub, software development workflows, and at least one programming language; no formal prerequisites required |
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| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/GH-300 |
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| Topic | Details |
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| 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.
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| 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.
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| 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.
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| 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.
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Microsoft GitHub Copilot Sample Questions (Q77-Q82):
NEW QUESTION # 77
Which of the following is correct about GitHub Copilot Knowledge Bases?
- A. Indexing is static
- B. All file types are indexed
- C. It is an Enterprise feature
- D. All repos are indexed
Answer: C
Explanation:
GitHub Copilot Knowledge Bases is an Enterprise feature that allows the tool to use an organization's internal documentation and code for more accurate and relevant suggestions.
Reference: GitHub Copilot Enterprise Knowledge Base documentation.
NEW QUESTION # 78
When using GitHub Copilot Chat to generate unit tests, which slash command would you use?
- A. /generate-tests
- B. /init-tests
- C. /tests
- D. /create-tests
Answer: C
Explanation:
"/tests: Generate unit tests for the selected code or function."
This is the official description of the /tests slash command, confirming it is the command used to create unit tests.
References: GitHub Copilot Chat slash command reference.
NEW QUESTION # 79
Which of the following is a risk associated with using AI?
- A. AI replaces the need for developer opportunities in most fields.
- B. AI systems can sometimes make decisions that are difficult to interpret.
- C. AI eliminates the need for data privacy regulations.
- D. AI algorithms are incapable of perpetuating existing biases.
Answer: B
Explanation:
A risk associated with AI is that its decisions can be difficult to interpret, leading to a lack of transparency and potential misunderstandings.
Reference: AI risk management documentation.
NEW QUESTION # 80
Which Copilot Enterprise features are available in all commercially supported IDEs?
- A. Inline suggestions
- B. Chat
- C. Knowledge bases
- D. Pull request summaries
Answer: B
Explanation:
"Copilot Enterprise provides inline code suggestions and Copilot Chat in all commercially supported IDEs.
Additional features, such as pull request summaries and knowledge bases, are available in GitHub.com." This confirms that inline suggestions and Chat are the features consistently available in IDEs.
References: GitHub Copilot Enterprise feature documentation.
NEW QUESTION # 81
How does the /tests slash command assist developers?
- A. Constructs detailed test documentation.
- B. Executes test cases to find issues with the code.
- C. Integrates with external testing frameworks.
- D. Creates unit tests for the selected code.
Answer: D
Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.
NEW QUESTION # 82
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