Exam GitHub-Copilot Consultant, Reliable GitHub-Copilot Test Objectives

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| Section | Weight | Objectives |
|---|
| Topic 1: 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. Copilot Individual vs Business vs Enterprise
- 2. IDE integration and Copilot Chat usage
|
| Topic 2: GitHub Copilot Data, Privacy, and Architecture | | - Data handling and privacy safeguards
- 1. Content exclusions and enterprise controls
- 2. Data usage and retention considerations
|
| Topic 3: Prompt Engineering and Context Crafting | | - Effective prompting techniques
- 1. Context optimization for code generation
- 2. Zero-shot and few-shot prompting
|
| Topic 4: Responsible AI | 7% | - Explain responsible usage of AI
- 1. Ethical AI practices and mitigation of harm
- 2. Bias, privacy, security, and transparency considerations
- 3. Validating AI-generated output
- 4. Risks and limitations of generative AI
|
| Topic 5: Developer Productivity with Copilot | | - Workflow optimization
- 1. Using Copilot in IDE workflows
- 2. Debugging and code completion enhancement
|
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Reliable GitHub-Copilot Test Objectives - Answers GitHub-Copilot Free
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GitHub CopilotCertification Exam Sample Questions (Q121-Q126):
NEW QUESTION # 121
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?
- A. Suggest homogeneous solutions if provided a diverse data set.
- B. Suggest innovative coding solutions that are not yet popular.
- C. Suggest completely novel projects, while reducing time on a project.
- D. Suggest code snippets that reflect the most common practices in the training data.
Answer: D
Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.
NEW QUESTION # 122
What is used by GitHub Copilot in the IDE to determine the prompt context?
- A. The open tabs in the IDE and the current folder of the terminal.
- B. All the code in the current repository and any git submodules.
- C. All the code visible in the current IDE.
- D. Information from the IDE like open tabs, cursor location, selected code.
Answer: D
Explanation:
Copilot gathers context directly from your IDE - including which files or tabs are open, where your cursor is positioned, and any selected code - to tailor its suggestions to exactly where and how you're coding.
NEW QUESTION # 123
While working in Visual Studio Code, a developer notices inline code suggestions appearing as they type. The suggestions seem to adapt based on comments and previously written code. What does this behavior best describe about GitHub Copilot in the IDE?
- A. Copilot analyzes comments and context to generate real-time code suggestions tailored for your requirementsright
- B. Copilot generates suggestions only from previously written code in the current file
- C. Copilot uses pre-written or readymade templates to insert common code blocks
- D. Copilot can only operate through command palette triggers, not inline chat
Answer: A
Explanation:
GitHub Copilot in IDEs like VS Code works by analyzing the surrounding code and developer comments in real-time. It uses this context to suggest relevant completions, often inline as you type.
Reference:
https://learn.microsoft.com/en-us/training/modules/introduction-to-github-Copilot/3-interacting-with-Copilot
NEW QUESTION # 124
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?
- A. Privacy and Security
- B. Inclusiveness
- C. Reliability and Safety
- D. Fairness
Answer: D
Explanation:
The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.
NEW QUESTION # 125
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)
- A. By using the "/fix" command in GitHub Copilot in-line chat.
- B. By running the gh copilot fix command.
- C. By adding comments to your code and triggering a suggestion.
- D. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
- E. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
Answer: C,D
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 # 126
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