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Exam4Docs GitHub GitHub-Copilot PDF Questions

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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

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.

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

Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.

GitHub CopilotCertification Exam Sample Questions (Q65-Q70):

NEW QUESTION # 65
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?

A. It uses user-provided documentation exclusively to generate responses.
B. It primarily uses search results from Bing to generate responses.
C. It combines its training data set, code in user repositories, and external sources like Bing to generate responses.
D. It primarily relies on the model's training data to generate responses.

Answer: C

Explanation:
GitHub Copilot Chat combines its training data, code from user repositories, and external sources like Bing to generate comprehensive and relevant responses to coding questions.

NEW QUESTION # 66
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

A. GitHub Copilot can design new statistical methods that have not been previously documented.
B. GitHub Copilot can independently verify the statistical significance of results.
C. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
D. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.

Answer: D

Explanation:
Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.

NEW QUESTION # 67
What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?

A. GitHub Copilot Chat in the IDE
B. GitHub Copilot access to Bing
C. GitHub Copilot Chat in GitHub Mobile
D. GitHub Copilot duplication detection filter

Answer: D

Explanation:
The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.

NEW QUESTION # 68
What GitHub Copilot pricing plan gives you access to your company's knowledge bases?

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

Answer: C

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 # 69
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 reduces overhead by automating testing workflows.
D. It increases productivity by automating repetitive coding tasks.

Answer: D

Explanation:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.

NEW QUESTION # 70
......

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