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GitHub-Copilot Exam Papers | GitHub-Copilot Reasonable Exam Price

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic
Details

Topic 1

Developer Use Cases for AI: This section of the exam measures skills of Full-Stack Developers and Cloud Engineers and covers how AI enhances developer productivity across various tasks such as learning new programming languages, debugging, writing documentation, and refactoring code. It discusses how GitHub Copilot integrates with the Software Development Lifecycle (SDLC) and its role in modernizing legacy applications. It also highlights the use of AI for personalized responses, sample data generation, and improving overall efficiency in software development.

Topic 2

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.

Topic 3

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.

Topic 4

How GitHub Copilot Works and Handles DataThis 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.

Topic 5

Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.

GitHub CopilotCertification Exam Sample Questions (Q45-Q50):

NEW QUESTION # 45
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)

A. Chat
B. Pull Request Diff Analysis
C. Knowledge Base
D. Code suggestions

Answer: A,D

Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.

NEW QUESTION # 46
When can GitHub Copilot still use content that was excluded using content exclusion?

A. When the repository level settings allow overrides by the user.
B. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
C. When the user prompts with @workspace.
D. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.

Answer: B

Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.

NEW QUESTION # 47
What GitHub Copilot pricing plan gives you access to your company's knowledge bases?

A. GitHub Copilot Professional
B. GitHub Copilot Individual
C. GitHub Copilot Business
D. GitHub Copilot Enterprise

Answer: D

Explanation:
GitHub Copilot Enterprise provides access to your company's knowledge bases, enabling the tool to provide contextually relevant suggestions based on your organization's specific documentation and code.

NEW QUESTION # 48
How can you get multiple suggestions from GitHub Copilot?

A. By asking for multiple suggestions using comments in your code
B. By using @workspace in the chat window
C. By opening the completions panel in your editor
D. By using the inline chat functionality with the command 'multiple'

Answer: C

Explanation:
You can get multiple suggestions by opening the completions panel in your editor, which displays alternative code suggestions.

NEW QUESTION # 49
How long does it take content exclusion to add or be updated?

A. 60 - 90 minutes
B. 24 hours
C. 45 - 60 minutes
D. Up to 30 minutes

Answer: D

Explanation:
Content exclusions typically take up to 30 minutes to be added or updated.

NEW QUESTION # 50
......

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