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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
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	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 (Q95-Q100):

NEW QUESTION # 95
A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?

A. GitHub Copilot Enterprise
B. GitHub Copilot Teams
C. GitHub Copilot Individual
D. GitHub Copilot Business for non-GHE customers

Answer: A

Explanation:
GitHub Copilot Enterprise is the most cost-effective plan for managing users with an Identity Provider like Okta, as it provides enterprise-level features and integration.

NEW QUESTION # 96
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.)

A. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
B. Sexually suggestive or explicit content
C. Code comments containing strong opinions or criticisms
D. Code that contains logical errors or produces unexpected results

Answer: A,B

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 # 97
What is the correct sequence of steps to install GitHub Copilot CLI on a developer's system?

A. Install VS Code, enable the Copilot extension, and clone a repository
B. Download GitHub Desktop, install Copilot from the marketplace, and log in with SSO
C. Run "npm install Copilot", create a GitHub repo, and configure settings
D. Install GitHub CLI, run "gh extension install github/gh-Copilot", and authenticate using gh auth loginright

Answer: D

Explanation:
To install GitHub Copilot in the CLI, developers must first have the GitHub CLI (gh) installed.
Then, they run the correct command: gh extension install github/gh-Copilot. Authentication is completed with gh auth login. This sequence ensures the extension is installed properly and securely.
Reference:
https://docs.github.com/en/Copilot/managing-Copilot/configure-personal-settings/installing-github-Copilot-in-the-cli

NEW QUESTION # 98
Which scenarios can GitHub Copilot Chat be used to increase productivity? Each correct answer presents part of the solution. (Choose two.)

A. Fast tracking of release management activities to move code to production main branch.
B. A developer is added to a new project and would like to understand the current software code.
C. Create a documentation file for the newly created code base.
D. A project plan for the team needs to be generated using a project management software.

Answer: B,C

Explanation:
GitHub CopilotꢀChat can draft documentation directly from your code's structure and comments, and it can walk a new team member through existing code by summarizing and explaining its components, thereby boosting onboarding efficiency and overall productivity.

NEW QUESTION # 99
You are configuring GitHub Copilot in the CLI for a smoother developer experience. Which of the following aliases can be set up to perform common actions like code suggestions and explanations?

A. "ghshare" - Share Copilot responses with your colleagueswrong
B. "ghcs" - GitHub Copilot Suggestright
C. "ghrun" - Run Copilot commands in a build pipelinewrong
D. "ghinit" - Initialize Copilot CLI
E. "ghce" - GitHub Copilot Explainright

Answer: B,E

Explanation:
ghcs is a commonly configured alias for the GitHub Copilot CLI command to suggest code. It simplifies the user experience by allowing developers to quickly prompt Copilot from the terminal.
ghce stands for GitHub Copilot Explain and is another helpful alias that allows developers to request natural language explanations for code from the terminal.
Reference:
https://docs.github.com/en/Copilot/managing-Copilot/configure-personal-settings/configuring-github-Copilot-in-the-cli#setting-up-aliases

NEW QUESTION # 100
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