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Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
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	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 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	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 (Q90-Q95):

NEW QUESTION # 90
You have a Windows development workstation that has Microsoft Visual Studio 2022 version 17.10 installed.
You have an active GitHub Copilot plan.
You plan to start using GitHub Copilot code suggestions in Visual Studio.
You need to ensure that the code suggestions are available in Visual Studio. The solution must minimize administrative effort.
What should you do?

A. Install Node.js 18 or later on the workstation.
B. From Visual Studio Marketplace, install the GitHub Copilot extension.
C. Sign in to Visual Studio by using your GitHub account.
D. From the Visual Studio terminal, run copilot setup.

Answer: C

Explanation:
Visual Studio 2022 version 17.10 already includes the unified GitHub Copilot and GitHub Copilot Chat extension as a built-in component, so installing a separate Marketplace extension is unnecessary for this version. GitHub ' s documentation also requires the developer to add or sign in with the GitHub account that has access to the Copilot plan. Because the workstation already has Visual Studio 17.10 and the user already has an active Copilot plan, signing in with the GitHub account is the action that enables access with the least administrative effort. Node.js is not a prerequisite for Visual Studio Copilot suggestions, and copilot setup is not the documented Visual Studio activation method.

NEW QUESTION # 91
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)

A. Add teams to the Copilot subscription for an organization
B. Reassign Copilot seats based on GitHub repository size
C. Upgrade or downgrade the subscription tier
D. Remove teams from the Copilot subscription for an organization
E. Migrate Copilot seat assignments between GitHub organizations

Answer: A,D

NEW QUESTION # 92
When can GitHub Copilot still use content that was excluded using content exclusion?

A. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
B. When the repository level settings allow overrides by the user.
C. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
D. When the user prompts with @workspace.

Answer: A

Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.

NEW QUESTION # 93
What are the effects of content exclusions? (Each correct answer presents part of the solution. Choose two.)

A. GitHub Copilot suggestions are no longer available in the excluded files.
B. The excluded content is not directly available to GitHub Copilot to use as context.
C. The excluded content is no longer used while debugging the code.
D. The IDE will not count coding suggestions in the excluded content.

Answer: A,B

Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.
Reference: GitHub Copilot content exclusion documentation.

NEW QUESTION # 94
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. Prompt data is stored unencrypted for faster processing.
B. Prompt data is used to train machine learning models for better code suggestions.
C. Real-time user input helps generate context-aware code suggestions.
D. Prompt data is used internally by GitHub for improving the search engine.

Answer: B,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 # 95
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