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Candidates who become Microsoft GH-300 certified demonstrate their worth in the Microsoft field. The GitHub Copilot (GH-300) certification is proof of their competence and skills. This is a highly sought-after skill in large Microsoft companies and makes a career easier for the candidate. To become certified, you must pass the GitHub Copilot (GH-300) certification exam. For this task, you need high-quality and accurate GitHub Copilot (GH-300) exam dumps.

Microsoft GH-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Copilot
Exam Number:GH-300
Exam Price:$99 USD
Related Certifications:GitHub Foundations
GitHub Actions
Certificate Validity Period:1 year (renewable)
Real Exam Qty:65
Available Languages:English, Spanish, Japanese, Portuguese (Brazil), Korean
Exam Format:Multiple-choice, Scenario-based
Passing Score:700 / 1000
Exam Duration:100 minutes
Sample Questions:Microsoft GH-300 Sample Questions
Exam Way:Online proctored exam (Pearson VUE)
Pre Condition:No formal prerequisites. Microsoft recommends practical experience using GitHub Copilot in an IDE and a general understanding of software development principles.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-copilot

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Microsoft GH-300 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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.

Microsoft GitHub Copilot Sample Questions (Q75-Q80):

NEW QUESTION # 75
What types of content can GitHub Copilot Knowledge Base answer questions about? (Each correct answer presents part of the solution. Choose three.)

Answer: A,D,E

Explanation:
"GitHub Copilot Knowledge Bases allow you to ask questions about your organization's documentation, design patterns, and code snippets." This proves that Copilot Knowledge Base can work with code snippets, documentation, and design patterns, but not binaries or screenshots.
References: GitHub Copilot Enterprise Knowledge Base documentation.


NEW QUESTION # 76
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

Answer: E

Explanation:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.
Reference: GitHub Copilot pricing documentation.


NEW QUESTION # 77
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?

Answer: C

Explanation:
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.
Reference: GitHub Copilot documentation on IP protection and code filtering.


NEW QUESTION # 78
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)

Answer: C,D

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 # 79
What is a benefit of using custom models in GitHub Copilot?

Answer: B

Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and practices within your repositories. This results in suggestions that are more aligned with your organization's coding standards and conventions, improving the relevance and accuracy of the generated code.


NEW QUESTION # 80
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