Microsoft AI-102日本語 exam : Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)

AI-102日本語 Exam Simulator
  • Exam Code: AI-102J
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
  • Updated: Oct 22, 2026
  • Q & A: 425 Questions and Answers

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Short on study time for the AI-102日本語 exam? Exam4PDF turns the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) syllabus into 425 focused practice questions, so every spare hour in 2026 moves you closer to a passing score.

Microsoft AI-102日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement knowledge mining and information extraction solutions15-20%- Extract entities, relationships, and key phrases
- Build knowledge bases and search indexes
- Ingest and process structured/unstructured data
- Implement intelligent search and retrieval
Topic 2: Implement natural language processing solutions15-20%- Implement translation and summarization
- Perform text analysis, sentiment detection, and language detection
- Customize and deploy NLP models
- Build conversational AI and chatbots
Topic 3: Implement an agentic solution5-10%- Build agents with Microsoft Foundry Agent Service
- Test, deploy, and optimize agents
- Understand agent use cases and types
- Develop multi-agent workflows and orchestration
Topic 4: Implement generative AI solutions15-20%- Orchestrate multiple models and containers
- Integrate Azure OpenAI and other generative models
- Apply prompt engineering and fine-tuning
- Implement model monitoring and feedback
- Deploy and manage generative models
Topic 5: Implement computer vision solutions10-15%- Integrate vision capabilities into applications
- Process and index video content
- Analyze images and detect objects/features
- Extract text and handwriting from images
- Build and deploy custom vision models
Topic 6: Plan and manage an Azure AI solution20-25%- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
- Create and configure Azure AI resources
- Select appropriate Microsoft Foundry Services
- Select suitable AI models
- Monitor, optimize, and secure AI solutions
- Plan solutions aligned with responsible AI principles

Your Microsoft AI-102日本語 Exam Questions, Answered

The Microsoft AI-102日本語 exam, officially titled Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版), is the required test for earning the Microsoft Certified: Azure AI Engineer Associate certification, a credential at the Associate level. Passing it validates the skills Microsoft expects from certified professionals, and it can also support progress toward related credentials such as Microsoft Certified: Azure AI Fundamentals (AI-900), Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure Developer Associate.

The AI-102日本語 exam includes 40-60 questions, and you have 100 minutes to complete it. Before exam day, divide the available time by the question count so you know the pace you need to hold, and practice flagging time-consuming items for review instead of stalling on a single question. Timed sessions in the Exam4PDF test engine are the easiest way to build that rhythm before it counts.

You need 700 (scaled score out of 1000) to pass the AI-102日本語 exam, and the official registration fee is $165 USD (varies by region: £113 GBP, €126 EUR). Keep in mind that a failed attempt means paying that fee in full again for a retake, so avoid booking your seat on a hunch. Work through the Exam4PDF practice test until your scores sit comfortably above the passing requirement before you schedule the exam.

Microsoft asks candidates to meet the following requirement before registering: No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required. Exam policies do change, so confirm the latest details on the official exam page at https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102 before you book.

You can book your seat through the official registration channels below:

The AI-102日本語 exam is delivered in the following format: Online proctored (OnVUE) or onsite at Pearson VUE test centers.

Microsoft recommends the following official training for this exam:

A course builds the theory; practice turns it into exam-day performance. Once you finish a class, the 425 practice questions from Exam4PDF show you how the same knowledge appears in exam-style items.

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The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) exam is organized into 6 major domains. Some of the key domains include:

  • Implement an agentic solution, accounting for 5-10% of the exam
  • Implement computer vision solutions, accounting for 10-15% of the exam
  • Implement generative AI solutions, accounting for 15-20% of the exam

Scroll up to the Exam Topics section for the complete breakdown, and use it to plan how much study time each domain deserves.

Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) Sample Questions:

Question #1

経営幹部にデータを提供するためのソリューションを開発する必要があります。このソリューションは、インタラクティブなグラフィカルインターフェイスを提供し、さまざまな主要業績評価指標を示し、ドリルダウンを使用してデータ探索をサポートする必要があります。Microsoft Power Blで何を使用する必要がありますか?

  • A. a report
  • B. a dataflow
  • C. a view
  • D. Microsoft Power Apps
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

あなたの会社には、レポートをページングした植え替えソリューションがあります。レポートは、データウェアハウス内のディメンションモデルをクエリします。レポートソリューションはどのタイプの処理を使用しますか?

  • A. ストリーム処理
  • B. オンライントランザクション処理(OLTP)
  • C. バッチ処理
  • D. オンライン分析処理(OLAP)
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Exam4PDF members. You can sign-up / login (it's free).

Question #3

All という名前の Azure OpenAI リソースと CS1 という名前の Azure Al Content Safety リソースを含む Azure サブスクリプションがあります。
All を使用して特定の質問に対する生成的な回答を提供し、CS1 を使用して入力と出力に不適切なコンテンツがないかチェックするチャットボットを構築します。
サンプルの質問に対してテストを実行して、コンテンツ フィルターの構成を最適化する必要があります。
解決策: Content Safety Studio から、Safety メタプロンプト機能を使用してテストを実行します。これは要件を満たしていますか?

  • A. はい
  • B. いいえ
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #4

文を正しく完成させる答えを選択してください。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The statement is:
" When using the Azure Cosmos DB Gremlin API, the container resource type is projected as a ______. " Options:
graph # Correct. The Gremlin API in Azure Cosmos DB is designed to work with graph data models, supporting vertices (nodes) and edges (relationships). A container is projected as a graph.
table # Used when working with the Table API (key/value store). Not correct here.
partition key # Refers to data distribution and scalability, not the container resource type.
document # Refers to the SQL API or MongoDB API in Cosmos DB, not Gremlin.
Therefore, the correct answer is graph.
The answer: graph
Microsoft References
Azure Cosmos DB Gremlin API
Azure Cosmos DB APIs and data models

Question #5

Azure AI Document Intelligence を使用して患者の医療データを分析する App1 というアプリがあります。App1 にリクエストを送信すると、次のレスポンスが返されます。

以下の各文について、正しい場合は「はい」を選択してください。そうでない場合は「いいえ」を選択してください。
注意: 正しい選択ごとにポイントが加算されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

JSON Key Observations
Model Used: " modelId " : " prebuilt-healthInsuranceCard.us "
The request was analyzing Blood Pressure 118/72, which is not a health insurance card.
This model is not suitable for the intended medical use case (vital signs).
Text Recognition Confidence:
" Blood " # confidence: 0.766
" Pressure " # confidence: 0.716
" 118/72 " # confidence: 0.761
All recognized words are above 0.70 (70%).
So, text recognition was successful above the threshold.
Form Elements (fields):
" fields " : {} # empty (no extracted fields).
Confidence for fields = 1, but since no fields were extracted, we cannot consider that form elements were recognized.
Therefore, form extraction was not achieved.
Correct Answers
The chosen model is suitable for the intended use case. # No
The text content was recognized with greater than 70 percent confidence. # Yes The form elements were recognized with greater than 70 percent confidence. # No

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