Free Microsoft GH-300 Practice Test Questions

Question 1

You are using GitHub Copilot to help generate boilerplate code for a web application that interacts with a database to store and retrieve user-submitted information. The code suggested by Copilot works well for basic functionality, but you are concerned about potential security vulnerabilities, particularly regarding SQL injection attacks. What is the most responsible approach to ensure the Copilot-suggested code is secure before implementing it in your production environment?

A : Review the Copilot-generated code carefully for common security vulnerabilities, such as SQL injection, and test it with both normal and malicious inputs.

B : Assume that Copilot-generated code follows secure coding practices, since it has been trained on a large amount of open-source code.

C : Use the Copilot-suggested code in your production environment as-is, but monitor it closely for any security incidents after deployment.

D : Use Copilot’s code suggestions only for non-critical parts of the application, assuming that security issues are less important for these sections.

Answer: A

Question 2

You are working on a function to process customer orders. You need to create a function in Python that calculates the total cost, including taxes and discounts. You decide to use GitHub Copilot to assist with generating the function. To ensure Copilot provides a high-quality suggestion, you write the following prompt: # Function to calculate total cost of order including taxes and discounts. However, the generated code misses the discount logic entirely. Which of the following strategies would most likely improve the quality of GitHub Copilot's suggestions in this scenario?

A : Add multiple examples of test cases within the prompt.

B : Add more specific details to the prompt, such as "Function to calculate total cost of order with 10% tax and 5% discount."

C : Reduce the complexity of the prompt to "Function to calculate order cost."

D : Use a prompt that specifies the language syntax, like "Python function to calculate total order cost, including taxes and discounts."

Answer: B

Question 3

You are using GitHub Copilot Chat while developing a new feature for your company's web application. The tool provides several code suggestions for you to consider. What options do you have when using GitHub Copilot Chat’s code suggestions?

A : You must accept the suggestions exactly as they are presented, with no option to edit before use

B : You can choose to have the suggestions automatically committed to the repository without review

C : You can directly accept, modify, or reject the code suggestions provided by Copilot Chat

D : You can only accept suggestions if they pass the project’s static analysis tool immediately

Answer: C

Question 4

You are a DevOps engineer tasked with evaluating the suitability of GitHub Copilot Business for your organization's development team. Your company has strict security and compliance policies, including the need for control over telemetry data, enhanced administrative controls, and usage policies that allow GitHub Copilot to be used without exposing your code to OpenAI’s Codex model. Based on these requirements, what is a critical feature offered by GitHub Copilot Business that would best address these concerns?

A : GitHub Copilot Business allows organizations to use Copilot without sending any data from private repositories to OpenAI’s Codex model.

B : GitHub Copilot Business includes an administrative control panel for monitoring real-time code suggestions to improve code security.

C : GitHub Copilot Business allows for telemetry data to be entirely disabled, giving full control over data handling.

D : GitHub Copilot Business supports role-based access control (RBAC) to limit the functionality of Copilot based on developer seniority.

Answer: A

Question 5

You are working on a web application that handles sensitive user data, including Personally Identifiable Information (PII) such as names, email addresses, and social security numbers (SSNs). To comply with privacy regulations like GDPR, you want to ensure that sensitive data is anonymized or excluded in certain contexts, such as logging or analytics. GitHub Copilot suggests code for logging user information during a troubleshooting process. Here is the initial function:def log_user_data(user): print(f"User data: {user.name}, {user.email}, {user.ssn}")

A : def log_user_data(user): print(f"User data: {user.name}, {user.email}")

B : def log_user_data(user): log_data = { "name": user.name, "email": user.email, "ssn": user.ssn if "debug" in user.role else "hidden" } print(f"User data: {log_data}")

C : def log_user_data(user): log_data = { "name": user.name, "email": user.email, "ssn": hash(user.ssn) } print(f"User data: {log_data}")

D : def log_user_data(user): print(f"User data: {user.name}, {user.email}, 'ssn': '***'")

Answer: D

Free Microsoft GH-300 Exam Practice Questions 2026