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

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

Spare minutes add up. With the AI-102日本語 PDF from TestPDF saved on your electronic devices, your Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) review travels with you in 2026 — five minutes here, ten there, and the syllabus starts to shrink.

Microsoft AI-102日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing a Microsoft Azure AI Solution
Exam Number:AI-102
Related Certifications:Microsoft Certified: Azure Data Scientist Associate
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Azure Developer Associate
Real Exam Qty:40-60
Exam Format:Hot area, Multiple select, Case studies, Drag-and-drop, Performance-based scenarios, Multiple choice
Certificate Validity Period:1 year (renewable via free online assessment)
Exam Price:$165 USD (varies by region: £113 GBP, €126 EUR)
Available Languages:Japanese, English, Chinese (Simplified), Portuguese (Brazil), Spanish, Indonesian, Arabic (Saudi Arabia), German, Korean, Italian, French
Passing Score:700 (scaled score out of 1000)
Exam Duration:100 minutes
Recommended Training:Microsoft Learn Learning Paths for AI-102
AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
Exam Registration:Microsoft Certification Exam Registration
Pearson VUE Scheduling
Sample Questions:Free Download AI-102日本語 Test PDF
Exam Way:Online proctored (OnVUE) or onsite at Pearson VUE test centers
Pre Condition:No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102

Microsoft AI-102日本語 Exam Syllabus Topics:

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

What to Know Before Your AI-102日本語 Exam Day

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The latest exam information lists 40-60 questions for the AI-102日本語 exam within a 100 minutes-minute window. Practicing under those exact conditions is the best cure for exam-day surprises.

The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) blueprint is organized around these core domains:

  • Implement generative AI solutions (15-20%)
  • Implement natural language processing solutions (15-20%)
  • Plan and manage an Azure AI solution (20-25%)

Further domains appear in the full official outline; the question bank covers all of them.

By fitting study into the cracks of a busy life. The AI-102日本語 bank contains complete questions with expert-verified answers across the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) objectives, stored easily on your phone, pad, or computer for spare-time review — and the PDF prints cleanly when you prefer paper, because marking key points by hand genuinely enhances memory. Assess everything first through the free demo on our site, pay securely through the Credit Card system, and rest assured your personal information is never shared with third parties without permission.

Microsoft lists the following official training resources:

Structured courses pair well with spare-time question practice for steady, low-stress progress.

Microsoft specifies these prerequisites for the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版): No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required.

Check the authoritative wording on the official certification page before booking.

At present, the AI-102日本語 exam requires a passing score of 700 (scaled score out of 1000), and registration costs $165 USD (varies by region: £113 GBP, €126 EUR). Microsoft sets both figures and may adjust them, so verify on the official site before you schedule.

Use the official registration channels below:

Pick a test center or online slot that suits your routine, and book early — calm planning beats last-minute pressure.

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

Question #1

カスタム Azure OpenAI モデルがあります。
次の表に示すファイルがあります。

OpenAI CLIデータ準備ツールを使用して、モデルのトレーニングデータを準備する必要があります。このツールにアップロードできるファイルはどれですか?

  • A. File1.tsv.File2.xml と File4.xslx のみ
  • B. File2.xmlのみ
  • C. File3.pdf のみ
  • D. ファイル1.tsv、ファイル2.xml、ファイル3.pdf、ファイル4.xslx
  • E. File4.xlsxのみ
  • F. File1.tsv と File4.xslx のみ
  • G. ファイルのみ
Reveal Solution  Discussion  0

Correct Answer: G  🗳️

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Question #2

AI1 という名前の Azure OpenAI リソースと User1 という名前のユーザーを含む Azure サブスクリプションがあります。
User1 が AI1 にカスタムデータソースを追加できるようにする必要があります。このソリューションは、最小権限の原則に従う必要があります。
User1 に割り当てるべきロールはどれですか?

  • A. Cognitive Services OpenAI 貢献者
  • B. Cognitive Services コントリビューター
  • C. 検索インデックス データ コントリビューター
  • D. 検索サービス貢献者
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

Azure Al Language サービスを使用してドキュメントを分析するアプリを構築しています。
ドキュメント内で業界特有の技術用語を明確にする必要があります。ソリューションは開発労力を最小限に抑える必要があります。
何を使うべきでしょうか?

  • A. カスタム固有表現抽出 (NER)
  • B. 会話言語理解(CLU)
  • C. 言語検出
  • D. キーフレーズ抽出
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

Azureサブスクリプションに、Azure AIコンテンツセーフティリソース「CS1」が含まれています。ユーザーによる評価を受けたドキュメントを分析し、難解な不適切な用語を特定するアプリを開発する予定です。不適切な用語を収録した辞書を作成する必要があります。ソリューションは開発工数を最小限に抑える必要があります。どのようなリソースを使用すべきでしょうか?

  • A. ブラックリスト
  • B. テキストモデレーション
  • C. テキスト分類器
  • D. 言語検出
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

lu1 という名前の Language Understanding リソースがあります。
lu1 を使用する bot1 という名前の Azure ボットを構築してデプロイします。
bot1 が Microsoft の責任ある AI の包括性の原則に準拠していることを確認する必要があります。
bot1 をどのように拡張すればよいでしょうか?

  • A. コンテナ内のホスト Iu1。
  • B. bot1 の認証を実装します。
  • C. bot1 に Direct Line Speech を追加します。
  • D. Iu1 のアクティブ ラーニングを有効にします。
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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