Free Microsoft GH-300 Exam Questions

Question 1

You are working on a project that requires frequent database queries in SQL to retrieve specific information. GitHub Copilot has been helpful in writing SQL queries, but sometimes the generated queries are inefficient or miss critical filtering conditions. You want to improve your prompts to get more precise SQL queries with appropriate conditions. Which of the following prompt revisions would best improve the efficiency and accuracy of SQL query generation using GitHub Copilot?

A : "Write an SQL query to retrieve user data (user_id, first_name, last_name) from the 'users' table, but only where the user’s status is active and the user was created after 2021-01-01."

B : "Write an SQL query to retrieve all user data from the 'users' table."

C : "Create an SQL query that pulls data from a table using user data."

D : "Generate an SQL query to retrieve data from a database."

Answer: A

Question 2

You are a software developer considering using GitHub Copilot for a large development team in a mid-sized organization. Your team members work on different types of projects, including private and public repositories. You want to understand how GitHub Copilot works across different environments and what plan would be best suited for your organization’s needs. Additionally, you are concerned about managing costs, ensuring code security, and having access to advanced features for enterprise use. Which GitHub Copilot plan would be the best fit for your organization’s requirements, and why? (Select two)

A : GitHub Copilot for Individuals (Paid Plan)

B : GitHub Copilot for Individuals (Free for Public Repos)

C : GitHub Copilot for Enterprise

D : GitHub Copilot for Teams

E : GitHub Copilot for Business

Answer: C,E

Question 3

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?

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 4

Your development team is working on a project to modernize a legacy application. The team is following an Agile methodology with two-week sprints. GitHub Copilot has been integrated into the development workflow to assist with various stages of the SDLC, including planning, coding, testing, and deployment. How can GitHub Copilot best assist your team in managing the Software Development Lifecycle (SDLC)?

A : GitHub Copilot can help improve code quality by generating code that adheres to common standards and practices during the coding phase, reducing technical debt over time.

B : GitHub Copilot can automatically generate feature specifications and user stories for your Agile sprints based on previous projects in your repository.

C : GitHub Copilot can handle project management tasks such as assigning issues, tracking progress, and managing deployment pipelines.

D : GitHub Copilot can assist in writing test cases, ensuring complete coverage of all functionality, and automatically fixing issues that arise during testing.

Answer: A

Question 5

GitHub Copilot often generates code based on natural language prompts. Which of the following best describes how GitHub Copilot interprets a prompt to generate code rather than perform a calculation?

A : GitHub Copilot uses mathematical optimization techniques to calculate the most efficient solution to the problem.

B : GitHub Copilot creates code suggestions by parsing user commands and converting them directly into predefined code snippets stored in a repository.

C : GitHub Copilot uses real-time data analysis to calculate potential code outputs directly from mathematical formulas.

D : GitHub Copilot leverages pre-trained language models that interpret natural language prompts, using patterns and examples in the training data to suggest code.

Answer: D