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| Section | Weight | Objectives |
|---|
| Topic 1: Prompt Engineering and Context Crafting | | - Effective prompting techniques
- 1. Context optimization for code generation
- 2. Zero-shot and few-shot prompting
|
| Topic 2: GitHub Copilot Data, Privacy, and Architecture | | - Data handling and privacy safeguards
- 1. Data usage and retention considerations
- 2. Content exclusions and enterprise controls
|
| Topic 3: Developer Productivity with Copilot | | - Workflow optimization
- 1. Debugging and code completion enhancement
- 2. Using Copilot in IDE workflows
|
| Topic 4: Responsible AI | 7% | - Explain responsible usage of AI
- 1. Validating AI-generated output
- 2. Ethical AI practices and mitigation of harm
- 3. Risks and limitations of generative AI
- 4. Bias, privacy, security, and transparency considerations
|
| Topic 5: GitHub Copilot Plans and Features | 31% | - Core Copilot features
- 1. CLI and multi-suggestion workflows
- 2. Inline code suggestions
- 3. Chat-based assistance
- Copilot plans comparison
- 1. IDE integration and Copilot Chat usage
- 2. Copilot Individual vs Business vs Enterprise
|
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GitHub CopilotCertification Exam Sample Questions (Q65-Q70):
NEW QUESTION # 65
What are the effects of content exclusions? (Each correct answer presents part of the solution. Choose two.)
- A. GitHub Copilot suggestions are no longer available in the excluded files.
- B. The excluded content is not directly available to GitHub Copilot to use as context.
- C. The IDE will not count coding suggestions in the excluded content.
- D. The excluded content is no longer used while debugging the code.
Answer: A,B
Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.
NEW QUESTION # 66
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
- A. Create a technical requirement specification from the business requirement documentation
- B. Creation of a unit test scenario for newly developed Python code
- C. Explain a legacy COBOL code and translate the code to another language like Python.
- D. Creation of end-to-end performance testing scenarios for a web application
Answer: B,C
Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
NEW QUESTION # 67
You're introducing a new team member to GitHub Copilot. They ask you about the different ways to interact with or trigger Copilot's suggestions. Which of the following methods are valid ways to use or activate GitHub Copilot?
- A. Opening the Copilot Chat pane to ask natural language queries
- B. Typing comments or partial code lines to receive inline suggestions
- C. Asking Copilot to deploy directly to production
- D. Triggering multiple suggestions using keyboard shortcuts
- E. Using GitHub Copilot CLI for command-line code assistance
Answer: A,B,D,E
Explanation:
GitHub Copilot is designed to monitor developer input in real time. When a user writes a comment or starts typing code, Copilot predicts the intent and generates relevant suggestions inline. This method is particularly useful for quickly completing code blocks or writing repetitive logic.
Copilot Chat allows users to ask natural language questions directly in their IDE. This is useful for getting explanations, asking for code snippets, or even requesting refactoring suggestions - all within a conversational UI powered by generative AI.
GitHub Copilot supports the ability to trigger multiple suggestions at once. For example, by using shortcuts like Ctrl + Enter in Visual Studio Code, developers can cycle through multiple completions, improving the quality of the final code by choosing the most suitable option.
GitHub Copilot CLI allows users to leverage Copilot's assistance directly from the terminal. It can generate shell commands, explain terminal errors, or help write automation scripts, making it a powerful tool for command-line-focused developers.
Reference:
https://learn.microsoft.com/en-us/training/modules/introduction-to-github-Copilot/3-interacting-with-Copilot
NEW QUESTION # 68
A developer is working for an enterprise that hosts all its code on Bitbucket and wants to leverage GitHub Copilot. However, their organization doesn't have any GitHub repositories. Can they still access GitHub Copilot?
- A. Yes, only when the organization migrates their Codebase to GitHub from Bitbucket
- B. No, GitHub Copilot for CLI can only work with GitHub-hosted projects
- C. No, Copilot can only be used with GitHub repositories
- D. Yes, by using GitHub Copilot for business, they can integrate GitHub Copilot with non-GitHub- hosted repositoriesright
Answer: D
Explanation:
GitHub Copilot Business supports usage with non-GitHub repositories. Developers can use Copilot in supported IDEs regardless of the repository hosting platform, enabling access to AI coding suggestions even if code is hosted outside GitHub.
Reference:
https://learn.microsoft.com/en-us/training/modules/github-Copilot-management-and-customizations/2-explore-github-Copilot-plans-associated-management-customization- features?ns-enrollment-type=learningpath&ns-enrollment-id=learn.github-Copilot
NEW QUESTION # 69
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?
- A. GitHub Copilot Teams
- B. GitHub Copilot Business
- C. GitHub Copilot Individual
- D. GitHub Copilot Business for non-GHE Customers
- E. GitHub Copilot Enterprise
Answer: C
Explanation:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.
NEW QUESTION # 70
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