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Microsoft GH-300日本語 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
  • 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 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
  • 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 5
  • 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 6
  • 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.

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

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Microsoft GitHub Copilot (GH-300日本語版) Sample Questions:

GitHub Copilot Chat を使用してユニットテストを生成する場合、どのスラッシュコマンドを使用しますか?

  • A. /init-tests
  • B. /create-tests
  • C. /テスト
  • D. /テスト生成
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

GitHub Copilot が公開されているコード スニペットを提案しないようにするために、組織レベルで設定できる GitHub Copilot 機能は何ですか?

  • A. Bing への GitHub Copilot アクセス
  • B. GitHub モバイルの GitHub Copilot チャット
  • C. IDE 内の GitHub Copilot チャット
  • D. GitHub Copilot 重複検出フィルター
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).

次の GitHub Copilot Business 関連のアクティビティのうち、組織の監査ログを使用して追跡できるものはどれですか。

  • A. コンテンツ除外設定の変更
  • B. GitHub Copilot によるコード提案
  • C. 承認されたチャット提案
  • D. 重複検出フィルタリングによってブロックされた提案
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).

GitHub Copilot のコード提案においてチャット履歴はどのような役割を果たしますか?

  • A. チャット履歴は GitHub Copilot にコンテキストを提供し、コード提案の関連性と精度を向上させます。
  • B. チャット履歴は、GitHub Copilot モデルをリアルタイムでトレーニングするために使用されます。
  • C. チャット履歴は GitHub Copilot とは無関係であり、その機能には影響しません。
  • D. チャット履歴は保存され、他のユーザーと共有され、コラボレーションが強化されます。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).

GitHub Copilot Business における組織監査ログの主な目的は何ですか?

  • A. Copilotが提案したコード行数を追跡する
  • B. 組織内の管理者の活動とアクションを監視する
  • C. リポジトリ間のコード競合を監視する
  • D. 組織内でソフトウェアライセンスを割り当てる
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).

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