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[General] Certification GH-300 Exam Dumps | Pass-Sure Microsoft GH-300: GitHub Copilot 100

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【General】 Certification GH-300 Exam Dumps | Pass-Sure Microsoft GH-300: GitHub Copilot 100

Posted at 5 day before      View：49 | Replies：1        Print      Only Author   [Copy Link] 1#
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Microsoft GH-300 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • Domain 4: Prompt Crafting and Prompt Engineering This section measures skills of Software Developers and AI Interaction Designers in effectively crafting prompts to optimize Copilot’s output. It reviews foundational concepts such as prompt components, the role of language in prompting, zero-shot vs. few-shot prompting, and how chat history influences responses. Best practices and engineering principles for prompt design and training methods are also covered.
Topic 5
  • 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 6
  • 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.

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Microsoft GitHub Copilot Sample Questions (Q77-Q82):NEW QUESTION # 77
What is the primary role of the /optimize slash command in Visual Studio?
  • A. Translates code into a more performant language.
  • B. Automatically formats the code according to the selected style guide.
  • C. Enhances the performance of the selected code by analyzing its runtime complexity.
  • D. Summarizes your documentation into more maintainable and readable formats.
Answer: C
Explanation:
The /optimize slash command in Visual Studio enhances the performance of the selected code by analyzing its runtime complexity and suggesting improvements.

NEW QUESTION # 78
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
  • A. Accountability
  • B. Inclusiveness
  • C. Transparency
  • D. Fairness
Answer: C
Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrives at its decisions and suggestions.

NEW QUESTION # 79
What is zero-shot prompting?
  • A. Giving GitHub Copilot examples of the algorithm and outcome you want to use
  • B. Only giving GitHub Copilot a question as a prompt and no examples
  • C. Telling GitHub Copilot it needs to show only the correct answer
  • D. Giving as little context to GitHub Copilot as possible
  • E. Giving GitHub Copilot examples of the problem you want to solve
Answer: B
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 # 80
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. Write code comments -> Press the suggestion shortcut -> Select the best suggestion from the list.
  • D. Describe the project's architecture -> Use the copilot generate command -> Accept the generated suggestion.
Answer: C
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 # 81
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)
  • A. By opening the relevant tabs in your IDE
  • B. By adding the important files to your .gitconfig
  • C. By adding the full file paths to your prompt of important files
  • D. By adding relevant code snippets to your prompt
Answer: A,D
Explanation:
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.

NEW QUESTION # 82
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