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Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
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	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 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	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.

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Microsoft GitHub Copilot Sample Questions (Q114-Q119):

NEW QUESTION # 114
1.
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A. The API can refactor your code to improve productivity.
B. The API can provide Copilot Chat specific suggestions acceptance metrics.
C. The API can provide feedback on coding style and standards compliance.
D. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
E. The API can track the acceptance rate of code suggestions accepted and used in the organization.

Answer: B,E

Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.
Reference: GitHub Copilot usage metrics API documentation.

NEW QUESTION # 115
How does GitHub Copilot Chat help to fix security issues in your codebase?

A. By enforcing strict coding standards that prevent the introduction of vulnerabilities.
B. By automatically refactoring the entire codebase to remove vulnerabilities.
C. By annotating the given suggestions with known vulnerability patterns.
D. By providing detailed reports on the security vulnerabilities present in the codebase.

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 # 116
Which GitHub Copilot plan could an Azure DevOps organization use without requiring a GitHub Enterprise license?

A. Copilot Teams
B. GitHub Copilot Enterprise
C. GitHub Copilot Individual
D. GitHub Copilot for Azure DevOps

Answer: D

Explanation:
"GitHub Copilot for Azure DevOps is available to Azure DevOps organizations without requiring a GitHub Enterprise license." This confirms that Copilot for Azure DevOps is the correct plan for such organizations.
References: GitHub Copilot for Azure DevOps documentation.

NEW QUESTION # 117
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

A. Add the specific files to a copilot.ignore file.
B. Rename the files to include the suffix _no_copilot.
C. Use the GitHub Copilot settings in the user interface to exclude files.
D. Modify the .gitignore file to include the specific files.

Answer: C

Explanation:
The correct way to exclude files is through the GitHub Copilot settings in the user interface, which allows administrators to specify files and directories to be ignored.

NEW QUESTION # 118
Which of the following is correct about GitHub Copilot Knowledge Bases?

A. Indexing is static
B. All repos are indexed
C. It is an Enterprise feature
D. All file types are indexed

Answer: C

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.

NEW QUESTION # 119
......

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GH-300 Reliable Test Braindumps, Frequent GH-300 Updates

Microsoft GH-300 Exam Syllabus Topics:

100% Pass 2026 Microsoft Accurate GH-300: GitHub Copilot Reliable Test Braindumps

Microsoft GitHub Copilot Sample Questions (Q114-Q119):

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