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[General] Three Microsoft GH-300 Exam Questions Formats - Make Your Exam Preparation Easy

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【General】 Three Microsoft GH-300 Exam Questions Formats - Make Your Exam Preparation Easy

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SureTorrent provides a high-quality Microsoft GH-300 practice exam. The best feature of the Microsoft GH-300 exam dumps is that they are available in PDF and a web-based test format. Microsoft offer updated Microsoft GH-300 Exam products to our valuable customers. Real Microsoft GH-300 exam questions along with answers are being provided in two formats.
Microsoft GH-300 Exam Syllabus Topics:
TopicDetails
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
  • 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 3
  • 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 (Q70-Q75):NEW QUESTION # 70
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
  • A. Creation of a unit test scenario for newly developed Python code
  • B. Creation of end-to-end performance testing scenarios for a web application
  • C. Explain a legacy COBOL code and translate the code to another language like Python.
  • D. Create a technical requirement specification from the business requirement documentation
Answer: A,C
Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
Reference: GitHub Copilot Chat use cases.

NEW QUESTION # 71
What GitHub Copilot pricing plan gives you access to your company's knowledge bases?
  • A. GitHub Copilot Individual
  • B. GitHub Copilot Professional
  • C. GitHub Copilot Business
  • D. GitHub Copilot Enterprise
Answer: D
Explanation:
GitHub Copilot Enterprise provides access to your company's knowledge bases, enabling the tool to provide contextually relevant suggestions based on your organization's specific documentation and code.

NEW QUESTION # 72
Which of the following statements correctly describes how GitHub Copilot Individual uses prompt data?
(Each correct answer presents part of the solution. Choose two.)
  • A. Real-time user input helps generate context-aware code suggestions.
  • B. Prompt data is used internally by GitHub for improving the search engine.
  • C. Prompt data is used to train machine learning models for better code suggestions.
  • D. Prompt data is stored unencrypted for faster processing.
Answer: A,C
Explanation:
Exact extracts:
* "For GitHub Copilot Individual, prompts and code completions may be retained and used to train machine learning models to improve Copilot." References: GitHub Copilot data usage and privacy documentation.

NEW QUESTION # 73
What are the additional checks that need to pass before the GitHub Copilot responses are submitted to the user? (Each correct answer presents part of the solution. Choose two.)
  • A. Suggestions matching public code (optional based on settings)
  • B. Compatibility with user-specific settings
  • C. Code quality
  • D. Performance benchmarking
Answer: A,C
Explanation:
Exact extracts:
* "Copilot applies post-processing checks for code quality to ensure that responses meet baseline standards." References: GitHub Copilot safeguards documentation.

NEW QUESTION # 74
Why might a Generative AI (Gen AI) tool create inaccurate outputs?
  • A. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
  • B. The Gen AI tool is overloaded with too many requests at once.
  • C. The training data might contain biases or inconsistencies.
  • D. The Gen AI tool is experiencing downtime and is not fully recovered.
Answer: C
Explanation:
Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.

NEW QUESTION # 75
......
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