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GitHub GitHub-Copilot Exam Overview:
| Certification Vendor: | GitHub, Microsoft |
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| Exam Name: | GitHub Copilot Certification Exam |
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| Exam Number: | GH-300 |
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| Passing Score: | 700 / 1000 (approx. 70%) |
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| Available Languages: | Japanese, Korean, English, Portuguese (Brazil), Spanish |
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| Exam Price: | $99 USD |
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| Certificate Validity Period: | 24 months |
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| Exam Format: | Multi-select, Multiple-choice, Case study, Scenario-based |
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| Real Exam Qty: | 60–65 |
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| Exam Duration: | 100 minutes |
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| Recommended Training: | GitHub Official Documentation GitHub Copilot Learning Path |
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| Exam Registration: | Pearson VUE Registration Official GitHub Certification Page |
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| Sample Questions: | GitHub GitHub-Copilot Sample Questions |
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| Exam Way: | Online proctored or in-person at Pearson VUE test centers |
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| Pre Condition: | No mandatory prerequisites; recommended: foundational GitHub knowledge, experience with at least one programming language, hands-on use of Copilot |
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| Official Syllabus URL: | https://learn.github.com/certification/COPILOT |
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>> GitHub GitHub-Copilot Exam Sims <<
GitHub-Copilot Valid Test Objectives & GitHub-Copilot Latest Exam Dumps
At Pass4sureCert, we strive hard to offer a comprehensive GitHub CopilotCertification Exam (GitHub-Copilot) exam questions preparation material bundle pack. The product available at Pass4sureCert includes GitHub GitHub-Copilot Real Dumps pdf and mock tests (desktop and web-based). Practice exams give an experience of taking the GitHub CopilotCertification Exam (GitHub-Copilot) actual exam.
| Topic | Details |
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| Topic 1 | - Privacy Fundamentals and Context Exclusions: This section of the exam measures skills of Cybersecurity Specialists and Compliance Officers and covers privacy safeguards and content exclusion settings in GitHub Copilot. It explains how Copilot can identify security vulnerabilities, suggest optimizations, and enforce secure coding practices. It also includes details on content ownership, data filtering mechanisms, and exclusion configurations. The section concludes with troubleshooting guidelines for managing context exclusions and ensuring compliance with organizational security policies.
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| Topic 2 | - How GitHub Copilot Works and Handles Data: This section of the exam measures the skills of Data Security Specialists and DevOps Engineers and covers how GitHub Copilot processes data, handles code suggestions and manages privacy concerns. It explains the data pipeline for Copilot’s suggestions, how it gathers context, and how prompts are processed through its AI model. The section also discusses the limitations of AI-generated code, the effects of historical data on suggestions, and the role of prompt crafting. Best practices for improving prompt effectiveness and optimizing AI-generated responses are included.
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| Topic 3 | - Prompt Engineering: This section of the exam measures skills of AI Engineers and Software Developers and covers the fundamentals of prompt engineering, including key principles, techniques, and best practices for generating high-quality outputs. It explains different prompting strategies such as zero-shot and few-shot prompting, how context influences AI-generated responses, and the role of structured prompts in guiding Copilot's behavior. It also discusses the prompt lifecycle and ways to enhance model performance through refined input instructions.
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GitHub CopilotCertification Exam Sample Questions (Q129-Q134):
NEW QUESTION # 129
What is the impact of the "Fill-In-the-Middle" (FIM) technique on GitHub Copilot's code suggestions?
- A. Restricts Copilot to use only external databases for generating code suggestions.
- B. Allows Copilot to generate suggestions based only on the prefix of the code.
- C. Ignores both the prefix and suffix of the code, focusing only on user comments for context.
- D. Improves suggestions by considering both the prefix and suffix of the code, filling in the middle part more accurately.
Answer: D
Explanation:
The Fill-In-the-Middle technique lets Copilot look at both what comes before and after your cursor, so it can generate the "missing" code between those segments more accurately.
NEW QUESTION # 130
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)
- A. "Predict future coding trends and update my codebase accordingly."
- B. "Show me how to improve the readability of this function."
- C. "Suggest ways to enhance the maintainability of this code segment."
- D. "Refactor my application to meet the latest coding standards."
Answer: B,C
Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.
NEW QUESTION # 131
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)
- A. By adding comments to your code and triggering a suggestion.
- B. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
- C. By running the gh copilot fix command.
- D. By using the "/fix" command in GitHub Copilot in-line chat.
- E. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
Answer: A,E
Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.
NEW QUESTION # 132
What are the potential limitations of GitHub Copilot in maintaining existing codebases?
- A. GitHub Copilot might not fully understand the context and dependencies within a large codebase.
- B. GitHub Copilot's suggestions are always aware of the entire codebase.
- C. GitHub Copilot can independently manage and resolve all merge conflicts in version control.
- D. GitHub Copilot can refactor and optimize the entire codebase up to 10,000 lines of code.
Answer: A
Explanation:
GitHub Copilot operates within a limited context window and may not capture all dependencies or the full project structure in a large codebase, so it can misunderstand context and require developer oversight.
NEW QUESTION # 133
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)
- A. Migrate Copilot seat assignments between GitHub organizations
- B. Reassign Copilot seats based on GitHub repository size
- C. Upgrade or downgrade the subscription tier
- D. Add teams to the Copilot subscription for an organization
- E. Remove teams from the Copilot subscription for an organization
Answer: D,E
Explanation:
The REST API endpoints are used to add and remove teams from the Copilot Business subscription within an organization.
NEW QUESTION # 134
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