Question 1

You are setting up a new internal Knowledge Base (KB) for your software engineering team, who frequently rely on GitHub Copilot to provide AI-assisted coding suggestions. The goal is to store essential information that will help improve code consistency and best practices across the team. Which of the following types of information should be included in your Knowledge Base to ensure maximum value when used alongside GitHub Copilot?

Options :

A : Organizational charts and the reporting structure of the development team.

B : A comprehensive list of common programming errors and bugs encountered by the team.

C : Code snippets and templates that follow company-specific coding standards and design patterns.

D : Detailed bug reports from various past projects, including error logs and patch notes.

Answer: C

Question 2

You are working on a project to build a loan approval system for a bank using GitHub Copilot to speed up development. The system will be used to make important financial decisions, and your company is focused on ensuring Responsible AI usage. What steps should you take to ensure transparency and accountability when using Copilot for this project?

Options :

A : Allow Copilot to suggest code but ensure all suggestions are logged and reviewed during code audits to maintain transparency and ensure accountability.

B : Document every decision Copilot makes during code generation and flag any code that relates to sensitive areas like loan eligibility criteria.

C : Since Copilot-generated code is likely compliant with industry standards, you don’t need to perform additional logging or auditing of AI-generated code.

D : Rely on Copilot’s code suggestions without documenting how the generated code was used, as the system’s focus is on speeding up development.

Answer: A

Question 3

You are the administrator of a GitHub repository for a private project. This project involves sensitive user data, including personal details and payment information. Your goal is to ensure that GitHub Copilot does not access or use sensitive content for suggestions or completions, as part of maintaining compliance with privacy standards like GDPR. You want to configure the repository to exclude sensitive data and prevent accidental exposure. Which of the following actions would effectively exclude sensitive content from being accessed by GitHub Copilot within this repository?

Options :

A : Set the repository to private, as private repositories are automatically excluded from GitHub Copilot suggestions.

B : Enable "Copilot Exclusion Rules" in the repository-s settings, specifying the files and directories containing sensitive information.

C : Remove the sensitive files from the repository’s .gitignore file.

D : Add a comment block to sensitive files that includes the line # copilot:ignore.

Answer: B

Question 4

You are developing an AI-based recruiting system and are using GitHub Copilot to help write code that filters job applicants based on their qualifications. Given that Copilot’s training data might contain historical biases (e.g., gender, race), how can you ensure that the code it generates does not inadvertently introduce bias into the system?

Options :

A : Assume that bias testing is unnecessary because Copilot is an AI tool, and AI systems are generally neutral and free from bias.

B : Ask Copilot to specifically avoid gender, race, and age attributes in its suggestions, which should eliminate any potential bias.

C : Conduct thorough bias testing on the Copilot-generated code to ensure that the system does not discriminate against any particular group.

D : Rely on Copilot’s large and diverse training set, assuming it has been trained on unbiased data sources, and trust its code suggestions.

Answer: C

Question 5

Which of the following statements best describes a key privacy feature implemented in GitHub Copilot to protect users’ sensitive data?

Options :

A : GitHub Copilot automatically detects and blocks all sensitive information in user code, including proprietary functions and secrets.

B : GitHub Copilot ensures that any private code within repositories is excluded from its training datasets.

C : GitHub Copilot actively stores and reviews all user inputs to improve model responses over time.

D : GitHub Copilot requires that all repositories used with it be set to public to ensure transparency and safety.

Answer: B

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