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Pass Guaranteed 2026 Professional Microsoft GH-300: GitHub Copilot Reliable Exam Online

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Microsoft GH-300 Exam Syllabus Topics:

Topic
Details

Topic 1

Developer Use Cases for AI: Targeting Software Engineers and Technical Leads, this domain elaborates on how AI improves developer productivity across common tasks like learning new languages, translation, documentation, debugging, data science, and refactoring. It discusses Copilot’s support in software development lifecycle management and highlights its limitations. Use of the productivity API to track Copilot’s impact is also included.

Topic 2

Privacy Fundamentals and Context Exclusions: This domain focuses on Security Engineers and Compliance Officers and addresses improving code quality with Copilot’s test suggestions and security optimizations. It covers identification of security vulnerabilities, performance enhancements, and privacy features like content exclusions at repository and organization levels with explanation of their limitations. Candidates learn about safeguarding mechanisms such as duplication detection, contractual protections, security checks, and troubleshooting guide for common Copilot issues including context exclusions and suggestion gaps.

Topic 3

How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.

Topic 4

GitHub Copilot Plans and Feature: This domain targets Product Managers and DevOps Engineers and focuses on understanding the various GitHub Copilot subscription plans like Individual, Business, and Enterprise, including distinctions and management features. It covers how Copilot is integrated into IDEs, different triggering methods for code suggestions, organizational policy management, subscription administration via API, and effective use of Copilot Chat and Knowledge Bases. Candidates also learn about CLI usage and configuration.

Topic 5

Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.

Topic 6

Responsible :This section of the exam measures skills of AI Ethics Officers and Risk Managers and covers the responsible and ethical usage of AI technologies. It explains the risks and limitations associated with generative AI tools, including biases in training data and the need to validate AI outputs. Candidates learn how to operate AI responsibly by identifying potential harms such as bias, fairness, privacy concerns, and mitigating these harms by applying ethical AI principles.

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Microsoft GitHub Copilot Sample Questions (Q68-Q73):

NEW QUESTION # 68
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

A. Modify the .gitignore file to include the specific files.
B. Rename the files to include the suffix _no_copilot.
C. Use the GitHub Copilot settings in the user interface to exclude files.
D. Add the specific files to a copilot.ignore file.

Answer: C

Explanation:
The correct way to exclude files is through the GitHub Copilot settings in the user interface, which allows administrators to specify files and directories to be ignored.
Reference: GitHub Copilot Business content exclusion documentation.

NEW QUESTION # 69
What is zero-shot prompting?

A. Only giving GitHub Copilot a question as a prompt and no examples
B. Giving GitHub Copilot examples of the algorithm and outcome you want to use
C. Giving GitHub Copilot examples of the problem you want to solve
D. Telling GitHub Copilot it needs to show only the correct answer
E. Giving as little context to GitHub Copilot as possible

Answer: A

Explanation:
Zero-shot prompting involves asking GitHub Copilot a question or giving a task without providing any examples. This relies on the model's pre-existing knowledge to generate a response.

NEW QUESTION # 70
How does GitHub Copilot assist developers in reducing the amount of manual boilerplate code they write?

A. By suggesting code snippets that can be reused across different parts of the project.
B. By predicting future coding requirements and pre-emptively generating boilerplate code.
C. By refactoring the entire codebase to eliminate boilerplate code without developer input.
D. By engaging in real-time collaboration with multiple developers to write boilerplate code.

Answer: A

Explanation:
"Copilot helps reduce boilerplate by suggesting reusable code snippets for repetitive structures across your project." This proves that Copilot saves time by generating reusable snippets, not by preemptively or automatically refactoring entire codebases.
References: GitHub Copilot productivity documentation.

NEW QUESTION # 71
How can GitHub Copilot assist with code refactoring tasks?

A. GitHub Copilot can fix syntax errors without user input.
B. GitHub Copilot can remove unnecessary files from the project directory.
C. GitHub Copilot can suggest refactoring improvements for better code quality.
D. GitHub Copilot can automatically rewrite code to follow best practices.

Answer: C

Explanation:
GitHub Copilot can analyze existing code and suggest refactoring improvements to enhance code quality, readability, and maintainability. It can propose changes to improve code structure, reduce complexity, and follow best practices.
Reference: GitHub Copilot documentation on code refactoring assistance.

NEW QUESTION # 72
What content can be configured to be excluded with content exclusions? (Each correct answer presents part of the solution. Choose three.)

A. Gists
B. Folders
C. Repositories
D. Lines in files
E. Files

Answer: B,C,E

Explanation:
Content exclusions allow you to exclude files, folders, and repositories from being used by GitHub Copilot.

NEW QUESTION # 73
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