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[General] Free PDF Quiz 2026 Professional Microsoft GH-300: Latest GitHub Copilot Exam Onl

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【General】 Free PDF Quiz 2026 Professional Microsoft GH-300: Latest GitHub Copilot Exam Onl

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

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Microsoft GitHub Copilot Sample Questions (Q114-Q119):NEW QUESTION # 114
Which scenarios can GitHub Copilot Chat be used to increase productivity? (Each correct answer presents part of the solution. Choose two.)
  • A. A developer is added to a new project and would like to understand the current software code.
  • B. Create a documentation file for the newly created code base.
  • C. A project plan for the team needs to be generated using a project management software.
  • D. Fast tracking of release management activities to move code to production main branch.
Answer: A,B
Explanation:
Exact extracts:
* "Copilot Chat can generate documentation based on your code."
References: GitHub Copilot Chat productivity documentation.

NEW QUESTION # 115
Which of the following is correct about GitHub Copilot Knowledge Bases?
  • A. It is an Enterprise feature
  • B. All file types are indexed
  • C. Indexing is static
  • D. All repos are indexed
Answer: A
Explanation:
GitHub Copilot Knowledge Bases is an Enterprise feature that allows the tool to use an organization's internal documentation and code for more accurate and relevant suggestions.
Reference: GitHub Copilot Enterprise Knowledge Base documentation.

NEW QUESTION # 116
How does GitHub Copilot suggest code optimizations for improved performance?
  • A. By enforcing strict coding standards that ensure optimal performance.
  • B. By automatically rewriting the codebase to use more efficient code.
  • C. By providing detailed reports on the performance of the codebase.
  • D. By analyzing the codebase and suggesting more efficient algorithms or data structures.
Answer: D
Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.

NEW QUESTION # 117
When using GitHub Copilot Chat to generate boilerplate code for various test types, how can you guide the AI to follow the testing standards of your company?
  • A. By using a specific command in the terminal.
  • B. By using specific prompt examples in your chat request.
  • C. By using a specific slash command in the prompt.
  • D. By using a specific setting in GitHub Copilot's configuration.
Answer: B
Explanation:
"The quality of Copilot Chat responses depends on the clarity and specificity of your prompts. You can guide Copilot to follow organizational standards by including examples or requirements in your request." This means prompt engineering with specific examples is the way to align with company standards.
References: GitHub Copilot Chat best practices documentation.

NEW QUESTION # 118
How does GitHub Copilot Chat help to fix security issues in your codebase?
  • A. By providing detailed reports on the security vulnerabilities present in the codebase.
  • B. By automatically refactoring the entire codebase to remove vulnerabilities.
  • C. By annotating the given suggestions with known vulnerability patterns.
  • D. By enforcing strict coding standards that prevent the introduction of vulnerabilities.
Answer: C
Explanation:
"When Copilot Chat generates suggestions, it may annotate them with warnings about known insecure patterns, helping developers identify potential vulnerabilities in context." This indicates that Copilot Chat assists with security by annotating code suggestions with vulnerability patterns.
References: GitHub Copilot Chat security and responsible use documentation.

NEW QUESTION # 119
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