Question 1

You are working on a Node.js project that uses Jest for unit testing. Your task is to write a test for a function calculateTotal() that takes an array of numbers and returns the sum. You have asked GitHub Copilot to assist you in generating the unit test. Below is the code generated by Copilot:

Which two of the following actions would best ensure that the generated test properly validates the calculateTotal() function and follows best testing practices? (Select two)

Options :

A : Add a test case to check if the function handles non-numeric values in the array

B : Trust the generated test as sufficient and do not add more tests.

C : Rely on manual testing to check other edge cases like large numbers or floats.

D : Add a test case where the input includes negative numbers and zeros.

E : Modify the test to include an empty array as input.

Answer: A,D

Question 2

You are using GitHub Copilot to generate a function that finds the maximum value in an array of numbers in Python. Which of the following prompt formats is most likely to generate the correct and efficient code?

Options :

A : Create a Python function to find the maximum value in a list of numbers.

B : Find maximum value.

C : Create a function that finds the average of numbers.

D : Make a function to compare things in Python.

Answer: A

Question 3

You are part of a team working on a highly sensitive and proprietary software project. The team is considering using GitHub Copilot to accelerate development, but there are concerns about the tool’s limitations, especially regarding collaboration and proprietary code. What are some key limitations of GitHub Copilot that you should be aware of in this scenario? (Select two)

Options :

A : Copilot can autonomously handle sensitive data in code, ensuring that it doesn’t generate code that exposes confidential information.

B : Copilot can generate highly specific suggestions based on proprietary algorithms or unique business logic without needing any prior training on the project.

C : Copilot may inadvertently suggest code that is similar to publicly available code, which could raise intellectual property concerns in proprietary projects.

D : Copilot guarantees that the code it generates is safe and secure for use in sensitive or proprietary projects.

E : Copilot is not designed to understand the entire context of a project, which could lead to inconsistencies or conflicting suggestions when multiple team members are working on the same codebase.

Answer: C,E

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

You are developing a Node.js web application with an authentication feature. Security is a critical concern, and you want to ensure that potential vulnerabilities like SQL injection and cross-site scripting (XSS) are adequately tested. You plan to use GitHub Copilot to improve your security testing strategy.

app.post('/login', async (req, res) => {

const { username, password } = req.body;

const query = `SELECT * FROM users WHERE username = '${username}' AND password = '${password}'`;

const user = await db.query(query);

if (user) {

res.status(200).send('Login successful');

} else {

res.status(401).send('Invalid credentials');

}

});

Which approach should you take to leverage GitHub Copilot for improving your security tests?

Options :

A : Ask GitHub Copilot to generate tests that only check for correct user authentication (valid username and password).

B : Use GitHub Copilot to suggest refactoring the SQL query into a more efficient one for performance purposes and assume security will be improved as well.

C : Ask GitHub Copilot to generate security-focused test cases by writing comments that indicate potential security issues, like SQL injection and XSS.

D : Ask GitHub Copilot to generate functional tests without specifying any particular security risks, assuming general tests will catch security vulnerabilities.

Answer: C