Try and practice the latest Microsoft : AI-103日本語 real questions & answers
Updated: Sep 18, 2026
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Microsoft AI-103日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Apps and Agents on Azure |
| Exam Number: | AI-103 |
| Available Languages: | Chinese (Simplified), English, French, Korean, Portuguese (Brazil), German, Japanese, Spanish |
| Certificate Validity Period: | 1 year (renewable annually via free online assessment) |
| Exam Format: | Multiple choice, Performance-based items, Case study, Scenario-based |
| Exam Price: | $165 USD (varies by country/region) |
| Exam Duration: | 100 minutes |
| Real Exam Qty: | 50–60 |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate (retiring June 30, 2026) |
| Passing Score: | 700 / 1000 |
| Recommended Training: | Microsoft Learn: Develop AI Apps and Agents on Azure Azure AI Foundry Documentation |
| Exam Registration: | Pearson VUE Registration Microsoft Certification Dashboard |
| Sample Questions: | Microsoft AI-103日本語 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience: 6+ months building AI applications, proficiency in Python or C#, familiarity with Azure services and AI concepts |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-103 |
Microsoft AI-103日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement text and speech analysis solutions | 10–15% | - Implement natural language processing
|
| Topic 2: Plan and manage Azure AI solutions | 25–30% | - Design Azure AI infrastructure
|
| Topic 3: Implement computer vision solutions | 10–15% | - Build multimodal solutions
|
| Topic 4: Implement information extraction and knowledge mining | 10–15% | - Build knowledge bases and search solutions
|
| Topic 5: Implement generative AI and agentic solutions | 30–35% | - Design and implement intelligent agents
|
Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) Sample Questions:
あるチームは、Foundryカタログからモデルを可能な限り迅速にセットアップし、消費したトークン分だけを支払い、仮想マシン(VM)の割り当て量を一切設定せずにデプロイしたいと考えています。どのデプロイオプションが最適でしょうか？
- A. 開発者ワークステーション上で実行されるローカルコンテナ
- B. サーバーレスAPIデプロイメント、別名モデル・アズ・ア・サービス(MaaS)
- C. マネージドコンピューティング(マネージドエンドポイント)の展開
- D. Azure Kubernetes Service 上でのセルフホスト型デプロイメント
Correct Answer: B 🗳️
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事前に構築された Azure 言語モデルを使用するアプリケーションがあります。
以下の要件を満たす要約を作成する必要があります。
- ビデオ内の各プレゼンターを特定し、各テキストファイルに属性を付与します。
文
- 元の文の順序を保持します
- 正確に3つの文を返します
どの言語サービス機能を使用すべきですか？
- A. 感情分析
- B. 抽象的要約
- C. キーワード抽出
- D. 抽出型要約
Correct Answer: D 🗳️
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開発者は、推論を実行してエージェントを使用するために、Microsoft Foundry プロジェクトのエンドポイントを呼び出すためのマネージド ID を必要とします。セキュリティ ポリシーでは、データ プレーンへのアクセスのみを許可する最小限の権限を持つロールが求められています。マネージド ID には、どの組み込みロールを割り当てるべきですか？
- A. 認知サービス貢献者
- B. Foundryアカウント所有者
- C. 鋳造所ユーザー
- D. Azure AI開発者
Correct Answer: C 🗳️
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注：このセクションには、同じシナリオと問題に関する複数の質問セットが含まれています。各質問には、問題に対する固有の解決策が提示されています。提示された解決策が、提示された目標を満たしているかどうかを判断する必要があります。セット内の複数の解決策が問題を解決できる場合もあります。また、セット内のどの解決策も問題を解決できない場合もあります。
このセクションの質問に回答すると、前のセクションに戻ることはできません。そのため、これらの質問は復習画面には表示されません。
エージェントを含む Microsoft Foundry プロジェクトがあります。このエージェントは、取得したポリシー文書から概要を生成します。
ユーザーからは、取得したコンテンツに規定の規制条項が含まれている場合でも、一部の回答では必要な規制条項が省略されているとの報告がある。
回答の完全性を改善する必要があります。
解決策：温度パラメータの値を増やします。
これは目標を達成していると言えるでしょうか？
- A. はい
- B. いいえ
Correct Answer: B 🗳️
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財務チームは、請求書から請求書番号や合計金額などの名前付きフィールドを抽出する必要があり、信頼度の低い値を人間のレビュー担当者に送るために、フィールドごとの信頼度スコアも必要としています。どの Azure Content Understanding モードを使用すべきでしょうか？
- A. どちらのモードでも、信頼度スコアが返されるため、どちらでも構いません。
- B. 信頼度スコアリングにはAzure AI Document Intelligenceが必要なため、どちらも該当しません。
- C. プロモード
- D. 標準モード
Correct Answer: D 🗳️
Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).
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