Get real AI-103日本語 exam questions for better preparation
Real Microsoft AI-103日本語 practice exam questions for easy pass!
Updated: Sep 19, 2026
No. of Questions: 159 Questions & Answers with Testing Engine
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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 |
| Exam Duration: | 100 minutes |
| Real Exam Qty: | 50–60 |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate (retiring June 30, 2026) |
| Exam Format: | Multiple choice, Performance-based items, Scenario-based, Case study |
| Available Languages: | French, Korean, Spanish, German, English, Portuguese (Brazil), Chinese (Simplified), Japanese |
| Exam Price: | $165 USD (varies by country/region) |
| Passing Score: | 700 / 1000 |
| Certificate Validity Period: | 1 year (renewable annually via free online assessment) |
| Recommended Training: | Azure AI Foundry Documentation Microsoft Learn: Develop AI Apps and Agents on Azure |
| Exam Registration: | Microsoft Certification Dashboard Pearson VUE Registration |
| 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 |
|---|---|---|
| Plan and manage Azure AI solutions | 25–30% | - Design Azure AI infrastructure
|
| Implement information extraction and knowledge mining | 10–15% | - Build knowledge bases and search solutions
|
| Implement generative AI and agentic solutions | 30–35% | - Design and implement intelligent agents
|
| Implement text and speech analysis solutions | 10–15% | - Implement natural language processing
|
| Implement computer vision solutions | 10–15% | - Build multimodal solutions
|
Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) Sample Questions:
エージェントを含む Microsoft Foundry プロジェクトがあります。
エージェントは、表と埋め込まれたQRコードを含む、スキャンされたPDF形式の仕入先請求書を取り込みます。
エージェントは、抽出された出力においてPDFのレイアウトを保持し、後続の処理でセクションや表を参照できるようにする必要があります。
Foundry Tools で Azure Content Understanding を呼び出す予定です。
言語モデルの展開を必要とせずに、コンテンツとレイアウト要素を抽出し、QRコードを検出する必要があります。
どの内蔵アナライザーを使用すべきですか？
- A. 事前構築済みドキュメントフィールドスキーマ
- B. プリビルド読み取り
- C. 事前構築済みドキュメント検索
- D. 事前構築済みレイアウト
Correct Answer: D 🗳️
Explanation: Only visible for itPass4sure members. You can sign-up / login (it's free).
ドラッグアンドドロップ問題
社内ドキュメントに基づいたカスタマーサポートエージェントを含むMicrosoft Foundryプロジェクトがあります。
最近のアップデート後、ユーザーから以下の問題が報告されています。
- 一部の回答は、取得された文書によって裏付けられていません。
- ごく一部の回答がポリシー違反としてフラグ付けされています。
それぞれの問題を評価する必要があります。
各課題に対して、どの可観測性シグナルを使用すべきでしょうか？回答するには、適切な可観測性シグナルを正しい課題にドラッグしてください。各可観測性シグナルは、1回、複数回、または全く使用しない場合があります。コンテンツを表示するには、ペイン間のスプリットバーをドラッグするか、スクロールする必要がある場合があります。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
あなたは、大量のトラフィックを処理するチャットアプリを提供するMicrosoft Foundryプロジェクトを持っています。
ほとんどの問い合わせは簡単なよくある質問(FAQ)ですが、中には高度な論理的思考を必要とするものもあります。
複雑な質問に対する回答の質を低下させることなく、一般的な問い合わせに対するコストと遅延を削減する必要があります。
あなたはどうすべきでしょうか？
- A. リクエストを異なるモデルにルーティングするモデルカスケードを使用します。
- B. すべてのリクエストを最も能力の高いモデルにルーティングします。
- C. すべてのリクエストをより小さなモデルにルーティングします。
- D. すべてのリクエストに対して max_tokens パラメータの値を増やします。
Correct Answer: A 🗳️
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ホットスポットに関する質問
あなたは、エージェントを含み、KV1という名前のAzureキーコンテナーを使用する、Project1という名前のMicrosoft Foundryプロジェクトを作成する予定です。
Project1からKV1への接続を設定する必要があります。
上腕二頭筋コードをどのように完成させるべきですか？回答するには、回答欄で適切なオプションを選択してください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
Box 1: AzureKeyVault
To configure a connection from a Microsoft Foundry project to an Azure Key Vault, you must use the AzureKeyVault connection category.
Box 2: AccountManagedIdentity
To connect a Microsoft Foundry project to an Azure Key Vault, you must use AccountManagedIdentity as the authType.
Microsoft Foundry secures its outbound connections to core Azure storage and security infrastructure using Microsoft Entra ID role-based access control (RBAC). Using AccountManagedIdentity completely eliminates the need to handle or rotate explicit credentials or api keys within your configuration.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/how-to/set-up-key-vault-connection
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 🗳️
Explanation: Only visible for itPass4sure members. You can sign-up / login (it's free).
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