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Microsoft GH-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Copilot
Exam Number:GH-300
Certificate Validity Period:1 year (renewable)
Exam Duration:100 minutes
Exam Price:$99 USD
Passing Score:700 / 1000
Available Languages:Spanish, English, Portuguese (Brazil), Japanese, Korean
Real Exam Qty:65
Related Certifications:GitHub Actions
GitHub Foundations
Exam Format:Scenario-based, Multiple-choice
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
  • 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 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 (Q43-Q48):

NEW QUESTION # 43
When can GitHub Copilot still use content that was excluded using content exclusion?

Answer: B

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


NEW QUESTION # 44
What is the primary purpose of organization audit logs in GitHub Copilot Business?

Answer: B

Explanation:
"Audit logs in Copilot Business allow enterprise and organization administrators to monitor administrator activities and configuration changes." This proves that their purpose is not line tracking or license assignment but monitoring admin activities.
References: GitHub Copilot Business administration documentation.


NEW QUESTION # 45
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

Answer: A

Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.


NEW QUESTION # 46
How can GitHub Copilot assist with code refactoring tasks?

Answer: C

Explanation:
GitHub Copilot can analyze existing code and suggest refactoring improvements to enhance code quality, readability, and maintainability. It can propose changes to improve code structure, reduce complexity, and follow best practices.


NEW QUESTION # 47
How does GitHub Copilot suggest code optimizations for improved performance?

Answer: A

Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.
Reference: GitHub Copilot code optimization documentation.


NEW QUESTION # 48
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