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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
Topic 1
  • GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.
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.

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GitHub CopilotCertification Exam Sample Questions (Q79-Q84):

NEW QUESTION # 79
When using GitHub Copilot Chat to generate unit tests, which slash command would you use?

Answer: A

Explanation:
The /generate-tests slash command instructs Copilot Chat to create unit tests for the selected code.


NEW QUESTION # 80
What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter?
(Each correct answer presents part of the solution. Choose two.)

Answer: A,C

Explanation:
GitHub Copilot includes a toxicity filter to prevent the generation of harmful or inappropriate content. This filter flags prompts or code snippets that contain hate speech, discriminatory language, or sexually suggestive or explicit content. This ensures a safe and respectful coding environment.


NEW QUESTION # 81
What types of content can GitHub Copilot Knowledge Base answer questions about? Each correct answer presents part of the solution. (Choose three.)

Answer: C,D,E

Explanation:
Code snippets: The Knowledge Base ingests and indexes your repository's source code so Copilot can answer questions about specific code examples.
Design patterns: It can surface relevant architectural and design best practices drawn from your team's patterns.
Documentation: It incorporates your project's README, wikis, and other docs to provide contextual answers.


NEW QUESTION # 82
What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?

Answer: B

Explanation:
When the public code filter is enabled, GitHub Copilot runs code suggestions through filters designed to detect matches with publicly available code. This helps prevent the generation of code that might infringe on copyright or licensing agreements.


NEW QUESTION # 83
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.)

Answer: A,B


NEW QUESTION # 84
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