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Online GitHub GitHub-Copilot Tests & GitHub-Copilot New Dumps Sheet

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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.

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

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 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.

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GitHub CopilotCertification Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
How long does it take content exclusion to add or be updated?

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

Answer: A

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

NEW QUESTION # 68
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?

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

Answer: A

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 # 69
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 # 70
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

A. Accepted chat suggestions
B. Changes to content exclusion settings
C. Code suggestions made by GitHub Copilot
D. Suggestions blocked by duplication detection filtering

Answer: B

NEW QUESTION # 71
How does the /tests slash command assist developers?

A. Executes test cases to find issues with the code.
B. Constructs detailed test documentation.
C. Creates unit tests for the selected code.
D. Integrates with external testing frameworks.

Answer: C

Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.

NEW QUESTION # 72
......

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