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Microsoft AB-730日本語 Valid Braindumps - AI Business Professional(AB-730日本語版)

AB-730日本語
  • Exam Code: AB-730J
  • Exam Name: AI Business Professional(AB-730日本語版)
  • Updated: Oct 27, 2026
  • Q & A: 88 Questions and Answers
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Microsoft AB-730日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understand generative AI fundamentals: This domain covers Microsoft 365 Copilot's operation, data privacy, context influence on responses, chat versus agent experiences, and feature differences across apps. It addresses responsible AI practices including risk identification, verification methods, and data protection restrictions.
Topic 2
  • Manage prompts and conversations by using AI: This domain focuses on creating effective prompts, managing and sharing them, handling chat conversations, and creating and configuring custom Copilot agents with appropriate settings and knowledge bases.
Topic 3
  • Draft and analyze business content by using AI: This domain covers creating documents from prompts or existing files, generating summaries, transferring data between apps, using Copilot for meetings and collaboration, and leveraging memory for personalized assistance.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/ai-business-professional/

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Microsoft AI Business Professional(AB-730日本語版) Sample Questions:

Question #1

あなたはMicrosoft 365のサブスクリプションをお持ちです。
お客様はMicrosoft 365 Copilotライセンスをお持ちではありません。
Microsoft 365 Copilot Chat でプロンプトを送信すると、Copilot Chat はどの 3 つの情報源を使用して応答しますか?それぞれの正解は、解決策の一部を示しています。
注:正解ごとに1ポイントが加算されます。

  • A. 組織のデータベース
  • B. Microsoft Teams のチャットデータ
  • C. インターネット検索データ
  • D. プロンプトのコンテキスト
  • E. 会話履歴
  • F. Microsoft 365 の組織データ
Reveal Solution  Discussion  0

Correct Answer: C,D,E  🗳️

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

Question #2

以下の各設問について、該当する場合は「はい」を選択してください。該当しない場合は「いいえ」を選択してください。注:正解ごとに1点が加算されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Prompt injection is a generative AI security risk where an attacker inserts instructions (often hidden in text, documents, webpages, or user inputs) to override or manipulate the assistant's intended behavior. This can lead to unintended actions such as ignoring policy controls, producing unsafe outputs, or attempting to reveal sensitive information. Because generative AI systems follow natural-language instructions, they can be socially engineered to prioritize malicious content unless safeguards are in place. This is why prompt injection can cause data exposure (for example, attempting to extract confidential content from grounded sources) and can also embed harmful instructions that redirect the model's behavior. In enterprise settings like Microsoft
365 Copilot, mitigations include grounding boundaries, permission trimming, content filtering, and instruction hierarchy (system policies over user instructions). From a business governance perspective, users should treat untrusted inputs (emails, documents, web text) as potentially hostile and apply least-privilege access and validation when using AI outputs in decision-making.

Question #3

以下の各設問について、該当する場合は「はい」を選択してください。該当しない場合は「いいえ」を選択してください。注:正解ごとに1点が加算されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The first statement is correct because Microsoft 365 provides transparency and user control through the My Account portal, where users can review their Copilot activity history. This aligns with Microsoft's responsible AI and data governance principles, ensuring visibility into AI interactions.
The second statement is incorrect. Deleting Copilot activity history removes stored interaction records (such as prompts and responses), but it does not automatically delete associated notebooks, documents, or pages stored in services like OneDrive or SharePoint. Those files remain governed by standard Microsoft 365 retention and lifecycle policies.
The third statement is correct because users can delete their entire Copilot activity history, including both prompts and generated responses. This reinforces enterprise-grade privacy controls and regulatory compliance requirements.
These controls demonstrate core generative AI fundamentals: transparency, user data ownership, security boundaries, and responsible lifecycle management of AI-generated interactions within Microsoft 365 environments.

Question #4

Microsoft 365 Copilot の Researcher エージェントを使用してレポートを生成します。レポートが有効なソースを使用して生成されたかどうかを確認するには、何を使用できますか?

  • A. メモリ
  • B. 機能
  • C. 指示
  • D. 引用
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

Question #5

Microsoft 365 Copilot を使用している際に、Web サイトからコンテンツが返されます。
ウェブサイトを見つけるために使用された正確な検索クエリを確認する必要があります。
何を使用すべきですか?回答するには、回答欄で適切な選択肢を選んでください。

Reveal Solution  Discussion  0

Correct Answer:


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