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Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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	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 4	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 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	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.

 

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Microsoft GitHub Copilot Sample Questions (Q121-Q126):

NEW QUESTION # 121
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

• A. GitHub Copilot Enterprise
• B. GitHub Copilot Business
• C. GitHub Copilot Business for non-GHE Customers
• D. GitHub Copilot Individual
• E. GitHub Copilot Teams

Answer: D

Explanation:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.
Reference: GitHub Copilot pricing documentation.

 

NEW QUESTION # 122
What GitHub Copilot configuration needs to be enabled to protect against IP infringements?

• A. Allowing public code matches
• B. Blocking public code matches
• C. Allowing license check configuration
• D. Blocking 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 # 123
How does GitHub Copilot Chat help in understanding the existing codebase?

• A. By providing visual diagrams of the code structure.
• B. By answering questions about the code and generating explanations.
• C. By automatically refactoring code to improve readability.
• D. By running code linters and formatters.

Answer: B

Explanation:
GitHub Copilot Chat helps in understanding existing codebases by answering questions about the code and generating explanations. This allows developers to quickly grasp the functionality and structure of unfamiliar code.

 

NEW QUESTION # 124
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

• A. Providing examples of desired output
• B. Using meaningful variable names
• C. Clearly defining the problem or task
• D. Use a .gitignore file to exclude irrelevant files
• E. Including personal information in the code comments

Answer: A,B,C

Explanation:
The quality of Copilot's suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.
Reference: GitHub Copilot prompt engineering best practices.

 

NEW QUESTION # 125
Why is it important to ensure the security of the code used in Generative AI (Gen AI) tools?

• A. Ensuring code security prevents unauthorized access and potential data breaches.
• B. Ensuring code security enables the AI system to handle larger datasets effectively.
• C. Ensuring code security supports the development of more advanced AI features.
• D. Ensuring code security maintains the integrity of the AI system.

Answer: A

Explanation:
"Securing the code used with generative AI prevents unauthorized access, helps safeguard sensitive data, and protects against potential breaches." This confirms option A is correct because the primary importance lies in avoiding unauthorized access and breaches.
References: GitHub Copilot responsible use and AI security documentation.

 

NEW QUESTION # 126
......

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