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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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| Available Languages: | German, Korean, English, Chinese (Simplified), Japanese, Spanish, Portuguese (Brazil), French, Arabic (Saudi Arabia) |
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| Exam Price: | $99 USD |
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| Real Exam Qty: | 60–65 |
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| Exam Format: | Proctored, Scenario-based, Multiple-choice |
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| Exam Duration: | 100 minutes |
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| Passing Score: | 700 / 1000 |
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| Certificate Validity Period: | 1 year |
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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 | - 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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| Topic 2 | - 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 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.
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| Topic 4 | - 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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| Topic 5 | - 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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Microsoft GitHub Copilot Sample Questions (Q14-Q19):
NEW QUESTION # 14
How can GitHub Copilot assist with code refactoring tasks?
- A. GitHub Copilot can suggest refactoring improvements for better code quality.
- B. GitHub Copilot can automatically rewrite code to follow best practices.
- C. GitHub Copilot can fix syntax errors without user input.
- D. GitHub Copilot can remove unnecessary files from the project directory.
Answer: A
Explanation:
GitHub Copilot can analyze existing code and suggest refactoring improvements to enhance code quality, readability, and maintainability. It can propose changes to improve code structure, reduce complexity, and follow best practices.
Reference: GitHub Copilot documentation on code refactoring assistance.
NEW QUESTION # 15
How does the /tests slash command assist developers?
- A. Executes test cases to find issues with the code.
- B. Constructs detailed test documentation.
- 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 # 16
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
- A. Accountability
- B. Fairness
- C. Transparency
- D. Inclusiveness
Answer: C
Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrives at its decisions and suggestions.
Reference: Microsoft's AI principles and ethical guidelines.
NEW QUESTION # 17
Which of the following statements best describes the impact of GitHub Copilot on the software development process?
- A. It decreases software vulnerabilities from third party dependencies.
- B. It replaces the need for developers in the software development process.
- C. It increases productivity by automating repetitive coding tasks.
- D. It reduces overhead by automating testing workflows.
Answer: C
Explanation:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.
Reference: GitHub Copilot impact documentation.
NEW QUESTION # 18
What is used by GitHub Copilot in the IDE to determine the prompt context?
- A. All the code in the current repository and any git submodules.
- B. The open tabs in the IDE and the current folder of the terminal.
- C. All the code visible in the current IDE.
- D. Information from the IDE like open tabs, cursor location, selected code.
Answer: D
Explanation:
"GitHub Copilot generates suggestions based on context from the IDE, including the file you are editing, open tabs, cursor position, and any selected code." This proves that the context is drawn from editor state information, making option A correct.
References: GitHub Copilot context and suggestions documentation.
NEW QUESTION # 19
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