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Microsoft GH-300日本語 Exam Syllabus Topics:

Topic	Details
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	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	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.
Topic 4	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 5	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 6	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.

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

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

Question #1
GitHub Copilot と対話するにはどのような方法を使用できますか?

A. https://github.copilot.com の Web ブラウザから
B. NeoVimのチャット機能を使う
C. IDEデバッグセッションのウォッチウィンドウから
D. 適切に構成されたGitHub CLIを使用することで

Question #2
GitHub Copilot はチャット履歴をどのように活用してコード補完機能を強化するのでしょうか?

A. チャット履歴をサードパーティのサービスと共有することで、統合と機能性を向上させます。
B. 過去のチャットのやり取りを分析して、一般的なプログラミングパターンとエラーを特定します。
C. チャット履歴を記録してユーザーのアクティビティを監視し、コーディング標準への準拠を確保します。
D. チャット履歴を使用して、以前のプロンプトに基づいてパーソナライズされたコードスニペットを提供します。

Question #3
Microsoft Visual Studio 2022 バージョン 17.10 がインストールされた Windows 開発ワークステーションをお持ちです。
あなたは有効なGitHub Copilotプランをお持ちです。
Visual StudioでGitHub Copilotのコード提案機能を使い始める予定です。
コード候補がVisual Studioで利用できることを確認する必要があります。ソリューションは管理作業を最小限に抑えるものでなければなりません。
あなたはどうすべきでしょうか？

A. GitHubアカウントを使用してVisual Studioにサインインします。
B. ワークステーションにNode.js 18以降をインストールしてください。
C. Visual Studio ターミナルから、copilot setup を実行します。
D. Visual Studio MarketplaceからGitHub Copilot拡張機能をインストールします。

Question #4
コンテンツの除外により GitHub Copilot が提案を返していないかどうかはどこで確認できますか?

A. IDE の GitHub Copilot エラーパネル
B. コード提案ウィンドウに警告メッセージが表示されます
C. GitHub Copilotは、ユーザー設定のGitHub.comにログオンします。
D. エディターのステータスバーのGitHub Copilotアイコンにメッセージが表示されます。

Question #5
どの GitHub Copilot 料金プランに、使用状況、プロンプト、デフォルトのトレーニング GitHub Copilot からの提案などの GitHub Copilot データを除外する機能が含まれていますか? (正しい回答を 2 つ選択してください。)

A. GitHub Copilot ビジネス
B. GitHub Copilot 個人
C. GitHub Copilot エンタープライズ
D. GitHub コパイロットコードスペース

Solutions:

Question #1
Correct Answer: B

Question #2
Correct Answer: B

Question #3
Correct Answer: A

Question #4
Correct Answer: D

Question #5
Correct Answer: A,C

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

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