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100% Pass Microsoft - High Hit-Rate GH-300 - New GitHub Copilot Test Dumps

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100% Pass Microsoft - High Hit-Rate GH-300 - New GitHub Copilot Test Dumps

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Microsoft GH-300 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 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
  • 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 5
  • 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.

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Microsoft GitHub Copilot Sample Questions (Q80-Q85):NEW QUESTION # 80
How can GitHub Copilot assist in maintaining consistency across your tests?
  • A. By writing the implementation code for the function based on context.
  • B. By identifying a pattern in the way you write tests and suggesting similar patterns for future tests.
  • C. By automatically fixing all tests in the code based on the context.
  • D. By providing documentation references based on industry best practices.
Answer: B
Explanation:
"Copilot learns from the patterns in your existing tests and suggests similar structures, which helps maintain consistency across the test suite." This confirms that Copilot supports test consistency through pattern recognition and suggestion.
References: GitHub Copilot testing documentation.

NEW QUESTION # 81
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 Teams
  • B. GitHub Copilot Business
  • C. GitHub Copilot Individual
  • D. GitHub Copilot Business for non-GHE Customers
  • E. GitHub Copilot Enterprise
Answer: C
Explanation:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.

NEW QUESTION # 82
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. "Suggest ways to enhance the maintainability of this code segment."
  • B. "Refactor my application to meet the latest coding standards."
  • C. "Predict future coding trends and update my codebase accordingly."
  • D. "Show me how to improve the readability of this function."
Answer: A,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 # 83
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)
  • A. Pull Request Diff Analysis
  • B. Chat
  • C. Knowledge Base
  • D. Code suggestions
Answer: B,D
Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.

NEW QUESTION # 84
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)
  • A. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
  • B. By adding comments to your code and triggering a suggestion.
  • C. By running the gh copilot fix command.
  • D. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
  • E. By using the "/fix" command in GitHub Copilot in-line chat.
Answer: A,B
Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.

NEW QUESTION # 85
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