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Microsoft AI-103日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Apps and Agents on Azure AI |
| Exam Number: | AI-103 |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 120-180 |
| Exam Format: | Scenario-based questions, Case studies, Drag and drop, Multiple choice, Multiple response |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure AI Fundamentals Microsoft Certified: Azure Developer Associate |
| Certificate Validity Period: | 1 year (renewable via Microsoft Learn assessment) |
| Passing Score: | 700/1000 |
| Available Languages: | English |
| Exam Price: | USD 165 (may vary by region) |
| Recommended Training: | Azure OpenAI Service Documentation Microsoft Learn - Azure AI Engineer Learning Path |
| Exam Registration: | Microsoft Certification Dashboard Pearson VUE Microsoft Exams |
| Sample Questions: |  |
| Exam Way: | Online proctored exam or authorized test center |
| Pre Condition: | Recommended: experience with Azure services, Python or C#, and basic machine learning concepts. Prior knowledge of Azure AI-102 or equivalent is helpful but not mandatory. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
Microsoft AI-103日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement Natural Language Processing Solutions | - Language understanding and intent recognition - Text analytics and summarization - Translation and multilingual support |
| Topic 2: Knowledge Mining and Information Retrieval | - Indexing and semantic search - Azure AI Search configuration - RAG (Retrieval Augmented Generation) patterns |
| Topic 3: Plan and Manage Azure AI Solutions | - Responsible AI principles and governance - Azure AI resource provisioning and configuration - Model selection and lifecycle management |
| Topic 4: Develop Generative AI Applications and Agents | - Azure OpenAI Service integration
|
| Topic 5: Implement Computer Vision Solutions | - OCR and document intelligence - Image classification and object detection |
The Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) Exam: Your Questions, Answered
You need 700/1000 to pass the AI-103日本語 exam, and registration costs USD 165 (may vary by region). Since each attempt carries the fee, candidates who practice thoroughly first — on paper, on screen, under time pressure — put their money behind preparation rather than retakes.
What does the Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) certification represent?
The AI-103日本語 exam is the official test for the Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) certification from Microsoft. For graduates and job seekers facing drastic competition, it does something a resume line cannot: it verifies your skills against a recognized standard, so when you enter an interview process, the credential helps you stand out on evidence rather than adjectives.
The official outline divides the AI-103日本語 exam into weighted domains, including:
- Plan and Manage Azure AI Solutions ()
- Implement Natural Language Processing Solutions ()
- Knowledge Mining and Information Retrieval ()
Print the Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) PDF from PassExamDumps and mark these domains' key points directly on paper — annotating the difficult parts is a proven way to make them stick.
Recommended: experience with Azure services, Python or C#, and basic machine learning concepts. Prior knowledge of Azure AI-102 or equivalent is helpful but not mandatory.
Because it was compiled with readers like you in mind. Download the AI-103日本語 exam PDF from PassExamDumps, print it, and the Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) content becomes a physical workbook: make notes in the margins, mark the important knowledge points on paper, and carry the pages anywhere — library, dormitory, wherever you study. Reviewing with your own annotations is efficient, and the tactile process keeps you motivated to continue. Many candidates find that once they start, learning this way becomes a genuinely happy process.
The AI-103日本語 exam includes 40-60 questions to be completed within 120-180 minutes. Time is money during preparation too — focused practice on exam-aligned questions is the shortest route to feeling ready.
Yes — safety is engineered in, not just claimed. The AI-103日本語 exam package from PassExamDumps is verified virus-free, and the exam engine carries a self-protect function, so installing it on your device never puts your important files at risk. Delivery is automatic by email about a minute after payment; if the message is missing, check your spam folder, and contact support if nothing arrives within 2 hours.
Registration is available through these official channels:
In a competitive job market, a booked exam date is a commitment device — it converts your preparation from intention to schedule.
Yes, the following official training options are available:
Combine them with the printable question bank, and you get both structured instruction and the flexibility of self-study on paper.
Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) Sample Questions:
内部ポリシー文書のテキストとユーザークエリのベクトル表現を生成するモデルが必要です。
- A. 画像生成モデル
- B. 埋め込みモデル
- C. 小型言語モデル
- D. 大規模言語モデル
Correct Answer: B 🗳️
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Retrieval Augmented Generation (RAG) チャットアプリの評価を Microsoft Foundry で構成する予定です。根拠の確かさ、関連性、有害コンテンツのカテゴリごとにスコアを提供する必要があります。使用できる評価カテゴリはどれですか (2 つ)。正解ごとに、解決策の一部が示されています。
- A. 流暢性評価者
- B. AI品質(自然言語処理)指標
- C. リスクと安全性の指標
- D. AI品質(AI支援)指標
- E. 類似性評価器
Correct Answer: C,D 🗳️
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セキュリティおよびコンプライアンス要件を満たすように、Agent1を設定する必要があります。
何を使うべきでしょうか？
- A. 即座のシールド
- B. 暴力的なコンテンツのフィルタリング
- C. 自傷行為コンテンツのフィルタリング
- D. 個人識別情報(PII)の検出
Correct Answer: D 🗳️
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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。
画像アップロードを受け付け、抽出した画像テキストを使用して応答を生成する、マルチモーダルなAI生成モデルをお持ちです。
ユーザーが安全でない画像をアップロードしたり、モデルを操作するための隠された指示を画像に埋め込んだりできることが分かります。
リスクを軽減するための対策を実施する必要があります。
解決策：ドキュメントにプロンプトシールドを設定します。
これは目標を達成していると言えるでしょうか？
- A. いいえ
- B. はい
Correct Answer: A 🗳️
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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、ペイン間の分割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:
Explanation:
Unsupported responses: Groundedness evaluation metrics
Policy violations: Risk and safety metrics
For unsupported responses, use Groundedness evaluation metrics . In a Retrieval Augmented Generation scenario, the key question is whether the generated answer is supported by the retrieved context. Microsoft Foundry built-in evaluators define Groundedness as the RAG metric that measures how grounded a response is in retrieved context and returns a model-based score; Groundedness Pro evaluates whether the response is grounded in retrieved context by using Azure AI Content Safety. This directly matches answers that are unsupported by internal documentation.
For policy violations, use Risk and safety metrics . Microsoft Foundry risk and safety evaluators assess generated responses for safety risks such as hate and unfairness, sexual content, violence, self-harm, protected material, indirect attacks, code vulnerability, ungrounded attributes, prohibited actions, and sensitive data leakage. The guidance states that these evaluators assign risk and safety severity or pass/fail outcomes for AI responses and agent behavior.
Latency breakdown traces diagnose performance, not correctness or policy compliance. Token usage analytics diagnose cost and prompt/response size, not unsupported claims or safety violations. Reference topics:
Microsoft Foundry observability, RAG evaluators, groundedness, risk and safety evaluators, and agent quality evaluation.
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