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Microsoft GH-300 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	GitHub Copilot
Exam Number:	GH-300
Exam Duration:	100 minutes
Available Languages:	Korean, Portuguese (Brazil), Spanish, Japanese, English
Exam Price:	$99 USD
Certificate Validity Period:	1 year (renewable)
Related Certifications:	GitHub Actions GitHub Foundations
Real Exam Qty:	65
Exam Format:	Scenario-based, Multiple-choice
Passing Score:	700 / 1000
Sample Questions:	Microsoft GH-300 Sample Questions
Exam Way:	Online proctored exam (Pearson VUE)
Pre Condition:	No formal prerequisites. Microsoft recommends practical experience using GitHub Copilot in an IDE and a general understanding of software development principles.
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/github-copilot

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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	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 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	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.

Microsoft GitHub Copilot Sample Questions (Q52-Q57):

NEW QUESTION # 52
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)

A. "Predict future coding trends and update my codebase accordingly."
B. "Refactor my application to meet the latest coding standards."
C. "Suggest ways to enhance the maintainability of this code segment."
D. "Show me how to improve the readability of this function."

Answer: C,D

Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.

NEW QUESTION # 53
How do you generate code suggestions with GitHub Copilot in the CLI?

A. Type out the code snippet -> Use the copilot refine command to enhance it -> Review the suggested command.
B. Use copilot suggest -> Write the command you want -> Select the best suggestion from the list.
C. Describe the project's architecture -> Use the copilot generate command -> Accept the generated suggestion.
D. Write code comments -> Press the suggestion shortcut -> Select the best suggestion from the list.

Answer: D

Explanation:
In the CLI, GitHub Copilot generates code suggestions by analyzing code comments. You write comments describing what you want, and Copilot provides relevant code suggestions. You then select the best suggestion from the list.

NEW QUESTION # 54
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

A. Suggest completely novel projects, while reducing time on a project.
B. Suggest homogeneous solutions if provided a diverse data set.
C. Suggest code snippets that reflect the most common practices in the training data.
D. Suggest innovative coding solutions that are not yet popular.

Answer: C

Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.

NEW QUESTION # 55
What GitHub Copilot configuration needs to be enabled to protect against IP infringements?

A. Blocking license check configuration
B. Blocking public code matches
C. Allowing public code matches
D. Allowing license check configuration

Answer: B

Explanation:
"By default, suggestions matching public code are allowed, but you can choose to block public code matches.
This setting can be enabled to reduce the risk of intellectual property infringement." This shows that enabling "Blocking public code matches" is the configuration required to protect against IP issues.
References: GitHub Copilot configuration settings documentation.

NEW QUESTION # 56
What is the correct way to access the audit log events for GitHub Copilot Business?

A. Use the Audit log section in the organization's GitHub settings
B. Navigate to the Security tab in the organization's GitHub settings
C. Use the Code tab in the GitHub repository
D. Navigate to the Insights tab in the repository settings

Answer: A

Explanation:
Audit log events for GitHub Copilot Business can be accessed through the Audit log section within the organization's GitHub settings. This log provides a record of activities related to Copilot usage and configuration.
Reference: GitHub Copilot Business documentation on audit logs.

NEW QUESTION # 57
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