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Microsoft GH-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Copilot
Exam Number:GH-300
Exam Duration:100 minutes
Real Exam Qty:60–65
Exam Format:Proctored, Multiple-choice, Scenario-based
Exam Price:$99 USD
Passing Score:700 / 1000
Certificate Validity Period:1 year
Available Languages:Japanese, English, Chinese (Simplified), Portuguese (Brazil), Korean, French, German, Spanish, Arabic (Saudi Arabia)
Recommended Training:Microsoft Learn: GitHub Copilot Learning Path
Exam Registration:Microsoft Learn Exam Details
Pearson VUE Registration
Sample Questions:Microsoft GH-300 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Basic familiarity with GitHub, software development workflows, and at least one programming language; no formal prerequisites required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/GH-300

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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
  • How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.
Topic 3
  • 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 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.

Microsoft GitHub Copilot Sample Questions (Q107-Q112):

NEW QUESTION # 107
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

Answer: D

Explanation:
Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.


NEW QUESTION # 108
What are the potential risks associated with relying heavily on code generated from GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Answer: B,C

Explanation:
Heavy reliance on GitHub Copilot can introduce security vulnerabilities if the generated code contains known exploits. Additionally, Copilot's suggestions may not always align with best practices or the latest standards, requiring careful review and validation.
Reference: GitHub Copilot best practices and risk management.


NEW QUESTION # 109
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.


NEW QUESTION # 110
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)

Answer: A,B

Explanation:
GitHub Copilot Individual is billed as a monthly or annual subscription.
Reference: GitHub Copilot Individual pricing.


NEW QUESTION # 111
You recently ended an interactive GitHub Copilot CLI session.
You need to start a new session that meets the following requirements:
* Provides a list of previously saved interactive sessions
* Resumes the most recently ended session
Which command should you run for each requirement? Each command may be used once, more than once, or not at all.

Answer:

Explanation:

Explanation:


NEW QUESTION # 112
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