Question 1

A junior developer in your team is using GitHub Copilot for auto-generating code. The developer raises concerns about potential copyright violations and security risks in the AI-generated code. What actions should your team take to mitigate these potential harms?

Options :

A : Rely entirely on GitHub Copilot’s built-in filtering mechanisms to avoid generating insecure or copyrighted code.

B : Train developers to carefully review AI-generated code for security vulnerabilities, licenses, and ensure compliance with internal policies before using it in production.

C : Immediately stop using GitHub Copilot, as it is impossible to ensure compliance with copyright and security requirements in AI-generated code.

D : Only allow senior developers to use Copilot, since they are more likely to identify potential harms related to copyright and security.

Answer: B

Question 2

You are a Python developer working on a project where you need to automate data entry into an Excel sheet using the openpyxl library. You plan to use GitHub Copilot to assist with writing a Python function that adds a row of data to an existing Excel file. You want to ensure that your prompt is specific enough to produce accurate and helpful code suggestions. Which of the following prompts would be the most effective to generate code using GitHub Copilot for adding a row of data to an Excel file using the openpyxl library?

Options :

A : "Use openpyxl to write a row of data into the Excel file named 'data.xlsx', in the 'Sheet1' sheet, starting from the first empty row."

B : "How to use openpyxl in Python?"

C : "Write a function that adds data to a file."

D : "Add data to an Excel sheet."

Answer: A

Question 3

You are leading a development team at a mid-sized company and considering adopting GitHub Copilot for Business. One of your primary concerns is ensuring that your team's code remains private and secure, especially in an enterprise environment. You need to assess the security features provided by GitHub Copilot for Business to determine if it aligns with your company's security policies. Which of the following statements about GitHub Copilot for Business’s security features is accurate? (Select two)

Options :

A : GitHub Copilot for Business requires you to manually approve each code suggestion before it can be used.

B : GitHub Copilot for Business provides end-to-end encryption to secure code suggestions.

C : GitHub Copilot for Business does not allow administrators to disable suggestions for certain programming languages.

D : GitHub Copilot for Business provides granular security policies, allowing companies to limit its use by certain team members.

E : GitHub Copilot for Business ensures that no training data comes from your private repositories.

Answer: B,E

Question 4

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

Question 5

You are working on a confidential project for a client that involves sensitive information, such as personally identifiable information (PII). To help speed up development, you are considering using GitHub Copilot to assist with generating code. However, you are concerned about privacy and the potential for Copilot to inadvertently access or expose confidential data while providing suggestions. Which of the following actions would be the most effective way to protect sensitive information while using GitHub Copilot for development?

Options :

A : Enabling Copilot’s data privacy settings to exclude files with sensitive content from training models.

B : Training GitHub Copilot on your private repository to adapt its suggestions to your project-specific context.

C : Removing GitHub Copilot from the project repository entirely to prevent it from accessing any code.

D : Using inline comments to notify Copilot when sensitive information appears so it can exclude that context.

Answer: A

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