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| Section | Weight | Objectives |
|---|---|---|
| Responsible AI with GitHub Copilot | 7% | - Risks and limitations of generative AI tools - Ethical AI principles and responsible use - Validating AI output and mitigation strategies - Bias and fairness in AI-generated code - Privacy and transparency considerations |
| GitHub Copilot Plans and Features | 31% | - Copilot Chat and code suggestion capabilities - Differences between Copilot Individual, Business, and Enterprise plans - IDE integration (VS Code, Visual Studio, JetBrains) - Configuration options and productivity features - Implementing and managing Copilot plans for an organization |
| Prompt Engineering and AI Interaction | 9% | - Creating effective prompts - Refining prompts for better coding results - Improving Copilot responses using context - Crafting and refining prompts (prompt engineering) |
| How GitHub Copilot Works and Handles Data | 15% | - How Copilot gathers code context - The prompt creation process - Privacy and data handling within Copilot - AI model response generation - Understanding that private repository content is not used to train models |
| Privacy Fundamentals and Context Exclusions | 15% | - Ownership of AI-generated outputs - Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot - Effects and limitations of content exclusions - Content exclusions at repository and organization level - Safeguards: duplication detector, contractual protection, data collection settings |
| Developer Use Cases for AI | 14% | - Code generation and refactoring - Debugging applications - Learning new languages and frameworks - Documentation generation - Automating repetitive development tasks - SDLC support and productivity insights |
| Testing with GitHub Copilot | 9% | - Generating unit tests and integration tests - Identifying edge cases - Editor configuration and org-level suggestion settings - Improving test coverage with AI suggestions |
Three formats of GitHub Copilot (GH-300) practice material are always getting updated according to the content of real GitHub Copilot (GH-300) examination. The 24/7 customer service system is always available for our customers which can solve their queries and help them if they face any issues while using the GH-300 Exam product. Besides regular updates, Actual4Labs also offer up to 1 year of free real GitHub Copilot (GH-300) exam questions updates.
NEW QUESTION # 66
You use GitHub Copilot to develop a web app named App1 in a repository named Repo1.
Repo1 contains generated files and supporting artifacts.
You discover that GitHub Copilot suggestions in the IDE are being generated based on files that are NOT part of the App1 source code.
You need to ensure that GitHub Copilot ignores these files.
What should you do?
Answer: B
Explanation:
GitHub Copilot content exclusion is the feature designed to prevent specified repository files or directories from being used as Copilot context. GitHub ' s documentation states that repository administrators can configure exclusions in the repository ' s settings under Copilot and Content exclusion. When content is excluded, it does not inform inline suggestions in other files, which directly addresses the problem of generated or supporting artifacts influencing suggestions for App1. A .gitignore file controls Git version tracking behavior, not Copilot context. Disabling inline suggestions would remove the desired feature rather than fix its context, and repository custom instructions are guidance rather than an access restriction.
Therefore, configure Copilot content exclusion rules in the GitHub Copilot settings for Repo1.
NEW QUESTION # 67
Why is it important to ensure the security of the code used in Generative AI (Gen AI) tools?
Answer: D
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 # 68
Which GitHub Copilot pricing plans include features that exclude your GitHub Copilot data like usage, prompts, and suggestions from default training GitHub Copilot? (Choose two correct answers.)
Answer: A,B
NEW QUESTION # 69
Where is the proxy service hosted?
Answer: A
Explanation:
The proxy service for GitHub Copilot is hosted on Microsoft Azure.
NEW QUESTION # 70
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?
Answer: B
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 # 71
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