The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) certification validates crucial skills, making the AI-102日本語 a rigorous challenge. Tackle it head-on with BraindumpsPrep, where you get instant access to 425 meticulously updated questions for 2026.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Passing Score: | 700 (on a scale of 1-1000) |
| Exam Format: | Drag-and-drop, Active screen questions, Multiple-choice, Case studies |
| Available Languages: | English, Korean, Chinese (Simplified), Japanese |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Exam Price: | $165 USD |
| Sample Questions: | ![]() |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
| Section | Weight | Objectives |
|---|---|---|
| Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Implement Azure AI Face service - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Process video and generate insights |
| Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Integrate Azure AI services into applications - Monitor and optimize decision support solutions |
| Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Implement prompt engineering techniques - Apply responsible AI practices |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Implement Azure AI Search solutions - Implement semantic and vector search - Create custom skills for Azure AI Search |
| Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Translate text and speech - Analyze text using Azure AI Language - Create conversational AI solutions with Azure AI Bot Service - Implement speech capabilities using Azure AI Speech |
| Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation - Plan and configure secure AI solutions |
The AI-102日本語 exam is a core requirement for the Azure AI Engineer Associate certification at the Associate level. Earning this validates your skills for credentials like Microsoft Certified: Azure AI Engineer Associate.
Candidates will face 40-60 questions and have 120 minutes to complete the exam. This means you need strict time management. We strongly recommend taking timed practice tests to ensure you can maintain a steady pace without rushing when under actual exam time pressure.
The official examination fee is $165 USD, and you must achieve a score of 700 (on a scale of 1-1000) to pass. Since retaking the test requires paying the full fee again, utilizing accurate practice materials for thorough self-assessment beforehand is crucial to protect your investment.
Candidate requirements include: Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial.. Please verify all eligibility details on the official certification page before scheduling your appointment.
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The syllabus is divided into 6 main domains. Key areas include "Implement Knowledge Mining and Document Intelligence Solutions" (15-20%), "Implement Natural Language Processing Solutions" (20-25%), "Plan and Manage an Azure AI Solution" (15-20%). For a comprehensive breakdown of all measured skills, please review the complete exam outline table provided above.
Azure Cosmos DB API を適切なデータ構造に一致させます。
回答するには、左側の列から適切なAPIを右側のデータ構造にドラッグしてください。各APIは、1回、複数回、またはまったく使用されない場合があります。
注意: 正解ごとに 1 ポイントが加算されます。
Correct Answer:

Explanation:
Azure Cosmos DB supports multiple APIs, each aligned to a specific data model:
Gremlin API
Designed for graph data.
Stores vertices (nodes) and edges (relationships).
Query language: Gremlin.
Correct mapping: Graph data.
MongoDB API
Designed for document data using JSON.
Supports MongoDB wire protocol.
Correct mapping: JSON documents.
Table API
Designed for key-value data.
Compatible with Azure Table Storage.
Correct mapping: Key/value data.
Cassandra API
Designed for wide-column (column-family) data.
Uses CQL (Cassandra Query Language).
Not listed in the answer area, but if included, it maps to columnar data, not the options shown here.
Correct Mapping:
Graph data # Gremlin API
JSON documents # MongoDB API
Key/value data # Table API
Microsoft References
APIs in Azure Cosmos DB
Choose the right API for Azure Cosmos DB
タスク追跡をサポートするチャットボットを構築する予定です。
Iu1 という名前の会話型言語理解サービスを作成します。
チャットボットに統合するための会話型言語理解モデルを構築する必要があります。ソリューションは、モデル構築にかかる開発時間を最小限に抑える必要があります。
どの 4 つのアクションを順番に実行する必要がありますか? 回答するには、適切なアクションをアクション リストから回答領域に移動し、正しい順序に並べます。
Correct Answer:

Explanation:
Correct Sequence:
Add the prebuilt domain ToDo
Add a new application
Train the application
Publish the application
Comprehensive Detailed Explanation
You are building a Conversational Language Understanding (CLU) model for a chatbot that supports task tracking. To minimize development time, the best approach is to use a prebuilt domain (like ToDo) instead of building intents/entities manually.
Steps in correct order:
Add the prebuilt domain ToDo
Prebuilt domains in CLU provide ready-to-use intents and entities for common scenarios (e.g., calendar, email, ToDo).
This significantly reduces development time since you don't need to create all intents/entities manually.
Add a new application
You must first create a CLU application that uses the prebuilt domain.
The application acts as the container for intents, entities, and utterances.
Train the application
Training is required after adding intents, entities, and utterances (or using a prebuilt domain).
This ensures the model can classify and extract information correctly.
Publish the application
Once trained, you must publish the application so it can be accessed via an endpoint and integrated into the chatbot.
Incorrect Actions in this Case
Add example utterances # Not required if you're using the prebuilt ToDo domain (utterances are already included).
Correct Sequence:
Add the prebuilt domain ToDo
Add a new application
Train the application
Publish the application
Microsoft References
Conversational Language Understanding (CLU) overview
Prebuilt domains in CLU (LUIS ToDo example)
Train and publish CLU models
生産ライン上の不良品を識別するための Azure AI ソリューションを設計しています。
リアルタイムのビデオ フィードと、手動で承認または拒否されるサンプル製品の画像ライブラリがあります。
次の要件を満たすサービスを推奨する必要があります。
ビデオ映像を監視し、不良品を識別します。
画像ライブラリを使用して新しいモデルをトレーニングできます。
開発の労力を最小限に抑えます。
何をお勧めしますか?
Correct Answer: C 🗳️
トランザクションワークロードのどのプロパティが、各トランザクションが完全に成功するか完全に終了する単一のユニットとして扱われることを保証しますか?
Correct Answer: B 🗳️
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フランス語とドイツ語を話す発信者からの電話を受信するための通話処理システムを構築しています。このシステムは、以下のタスクを実行する必要があります。
* 着信音声メッセージをテキストとしてキャプチャします。
* 要求に応じてメッセージを英語で再生します。
どの Azure Cognitive Services を使用すべきですか? 回答するには、回答で適切なオプションを選択します。注: 正しい選択ごとに 1 ポイントが加算されます。
Correct Answer:

Explanation:
Comprehensive Explanation
Speech-to-text converts the caller's spoken French/German audio into text.
The text must then be translated to English.
Finally, Text-to-speech converts the translated text into spoken English for playback.
Therefore, the combination of Translator + Text-to-speech is required for the replay step.
Microsoft References
Speech-to-text in Azure AI Speech
Azure AI Translator
Text-to-speech in Azure AI Speech
Final Answer:
To capture messages # Speech-to-text
To replay messages # Text-to-speech and Translator
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