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Product Description Exam Number/Code: GH-300
Exam Name: GitHub Copilot (GH-300日本語版)
Certification Provider: Microsoft
Corresponding Certification: GitHub Administrator
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GitHub Copilot (GH-300日本語版): GH-300日本語 Exam Premium File as PDF & Test Engine

GH-300日本語

Last Updated: Jun 05, 2026

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GH-300日本語 exam is an important Microsoft Certification which can test your professional skills. Candidates want to pass the exam successfully to prove their competence. Fast2test Microsoft technical experts have collected and certified 125 questions and answers of GitHub Administrator - GitHub Copilot (GH-300日本語版) which are designed to cover the knowledge points of the Planning and Designing Microsoft Superdome Server Solutions and enhance candidates' abilities. With Fast2test GH-300日本語 preparation tests you can pass the GitHub Administrator - GitHub Copilot (GH-300日本語版) easily, get the Microsoft certification and go further on Microsoft career path.

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Microsoft GH-300日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 4
  • 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 5
  • 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 6
  • 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.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/GH-300

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