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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
Available Languages:Italian, English, Indonesian, Spanish, Korean, Japanese, German, Arabic (Saudi Arabia), French, Portuguese (Brazil), Chinese (Simplified)
Exam Duration:100 minutes
Certificate Validity Period:1 year (renewable via free online assessment)
Passing Score:700 (scaled score out of 1000)
Exam Price:$165 USD (varies by region: £113 GBP, €126 EUR)
Related Certifications:Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Azure Developer Associate
Microsoft Certified: Azure Data Scientist Associate
Real Exam Qty:40-60
Exam Format:Multiple choice, Case studies, Multiple select, Performance-based scenarios, Hot area, Drag-and-drop
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: DOWNLOAD DEMO
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
Implement computer vision solutions10-15%- Extract text and handwriting from images
- Integrate vision capabilities into applications
- Analyze images and detect objects/features
- Build and deploy custom vision models
- Process and index video content
Implement natural language processing solutions15-20%- Customize and deploy NLP models
- Build conversational AI and chatbots
- Implement translation and summarization
- Perform text analysis, sentiment detection, and language detection
Implement knowledge mining and information extraction solutions15-20%- Ingest and process structured/unstructured data
- Build knowledge bases and search indexes
- Extract entities, relationships, and key phrases
- Implement intelligent search and retrieval
Implement an agentic solution5-10%- Build agents with Microsoft Foundry Agent Service
- Develop multi-agent workflows and orchestration
- Test, deploy, and optimize agents
- Understand agent use cases and types
Implement generative AI solutions15-20%- Deploy and manage generative models
- Apply prompt engineering and fine-tuning
- Orchestrate multiple models and containers
- Implement model monitoring and feedback
- Integrate Azure OpenAI and other generative models
Plan and manage an Azure AI solution20-25%- Select suitable AI models
- Select appropriate Microsoft Foundry Services
- Plan solutions aligned with responsible AI principles
- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
- Monitor, optimize, and secure AI solutions
- Create and configure Azure AI resources

Microsoft AI-102日本語 Exam — Answers to Your Questions

The Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) (exam code AI-102日本語) is the exam you pass to earn the Microsoft Certified: Azure AI Engineer Associate certification, a credential at the Associate level. It is also connected with related credentials such as Microsoft Certified: Azure AI Fundamentals (AI-900), Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure Developer Associate. If you are mapping out a certification path with Microsoft, this exam is a milestone worth planning around.

The AI-102日本語 exam includes 40-60 questions, and you have 100 minutes to complete them. With that many questions on the clock, pacing is part of the challenge: divide your time into rough blocks as you go, and flag the items that stall you so you can circle back at the end instead of burning minutes on a single question. A week or two before your exam date, sit at least one full timed session in the 2Pass4sure test engine under the same time limit, so the pace feels familiar rather than frantic on the day.

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). That fee is due again in full for every retake, which makes thorough preparation the cheaper investment by far. Before you book your seat, test yourself with the 2Pass4sure practice questions until you are scoring comfortably above the passing mark on a consistent basis — it is the simplest way to avoid paying for the same exam twice.

No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required

Eligibility rules can be adjusted by Microsoft over time, so before you register, confirm the current requirements on the official exam page: view the official AI-102日本語 exam information.

You can book the AI-102日本語 exam through the official registration channels below:

How the exam is taken: Online proctored (OnVUE) or onsite at Pearson VUE test centers.

Microsoft lists the following official training options for candidates preparing for this exam:

Once you have worked through the training, measure your readiness with the 425 practice questions from 2Pass4sure — they show you exactly which topics still need attention before you book the exam.

Yes. 2Pass4sure offers a free PDF demo of the AI-102日本語 practice questions, so you can judge the quality of the material firsthand before paying anything. Every purchase also includes 365 days of free updates — if Microsoft changes the exam during that year, your material changes with it. And when the free update period expires, you can extend it at a 50% discount from within your member zone.

Every AI-102日本語 purchase at 2Pass4sure is backed by a 100% Money Back Guarantee: if you take the corresponding exam within 60 days of your purchase and do not pass, you can apply for a full refund. The guarantee has clear conditions — it does not apply if you sit the exam within 3 days of purchase, if you downloaded the material but never actually took the exam, or to free materials and expired orders, and the candidate name must match the payer name. To file a claim, send a scan of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam; claims are processed within 7 days. If you would rather not take a refund, you can exchange the product instead and receive two additional exam preparation products of equal value for free, while your original product keeps its update service. Delivery itself is instant: your material is available for download right after payment and is also sent to your email within one minute — if it has not arrived within 2 hours, contact our customer service. There is no limit on how many computers you can install it on.

The official Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) outline divides the exam content into 6 main domains. The first three are:

  • Plan and manage an Azure AI solution — 20-25%
  • Implement an agentic solution — 5-10%
  • Implement natural language processing solutions — 15-20%

That is only the headline view — scroll back up to the Exam Topics section on this page for the complete domain-by-domain breakdown before you plan your study schedule.

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

Foundry Tools サービスで Azure Translator を使用するメッセージ処理システムを構築しています。
受信メッセージが英語に翻訳されていることを確認する必要があります。
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、回答エリアで適切なオプションを選択してください。
注意: 正しい選択ごとに 1 ポイントが加算されます。

Answer:


Explanation:

あなたは、スキャンされた経費精算書を処理し、以下のデータを抽出してラベル付けするアプリを開発しています。
* 販売者情報
* 取引時間
* 取引日
* 納税額
* 合計費用
アプリに適したAzure AIドキュメントインテリジェンスモデルを推奨する必要があります。ソリューションは開発作業を最小限に抑えるものでなければなりません。
何を使うべきでしょうか?

  • A. 事前に構築された Read モデル
  • B. 事前構築済みの領収書モデル
  • C. カスタムテンプレートモデル
  • D. カスタムニューラルモデル
Answer: B

予測メンテナンスを実行する予定です。
100台の産業機械から1年間にわたりIoTセンサーデータを収集します。各機械には50個の異なるセンサーが搭載されており、1分間隔でデータを生成します。合計で5,000個の時系列データセットがあります。
機械の故障を予測するには、各時系列の異常な値を特定する必要があります。
どの Azure Cognitive Services サービスを使用すればよいですか?

  • A. カスタムビジョン
  • B. 異常検出器
  • C. 認知探索
  • D. フォーム認識機能
Answer: B

Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).

あなたはソーシャルメディアのメッセージングアプリを開発しています。メッセージで使用されている言語をリアルタイムで識別する必要があります。どのサービスを利用すべきでしょうか?

  • A. Foundry制御プレーンにおけるコンテンツの安全性
  • B. Foundry ToolsにおけるAzure言語
  • C. Foundry Tools の Azure Speech
  • D. Foundry Tools の Azure Translator
Answer: D

Azure Al Language サービスを使用して音声を翻訳するアプリを構築しています。
音声を英語からイタリア語に翻訳するようにアプリを設定する必要があります。
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、回答エリアで適切なオプションを選択してください。
注意: 正しい選択ごとに 1 ポイントが付与されます。

Answer:


Explanation:

First blank: speech_recognition_language
Second blank: add_target_language
speech_translation_config = speechsdk.translation.SpeechTranslationConfig( subscription=os.environ.get( ' SPEECH_KEY ' ), region=os.environ.get( ' SPEECH_REGION ' ) )
# Source (recognition) language: English (US)
speech_translation_config.speech_recognition_language = " en-US "
# Target translation language: Italian
speech_translation_config.add_target_language( " it " )
audio_config = speechsdk.audio.AudioConfig(use_default_microphone= True ) recognizer = speechsdk.translation.TranslationRecognizer( translation_config=speech_translation_config, audio_config=audio_config ) Comprehensive Detailed Explanation along with All References available from Microsoft Azure AI Solution at the end of the explanation To translate speech, configure a SpeechTranslationConfig with (1) the recognition language of the input audio and (2) one or more target languages for translation. In Python, you set the input language with the speech_recognition_language property (e.g., " en-US " ), and you add a target with add_target_language( " < locale > " ) (e.g., " it " for Italian). This exactly matches the SDK guidance and examples for speech translation. Microsoft Learn speech_recognition_language specifies the locale used by the recognizer to understand the spoken input.
add_target_language( " it " ) adds Italian as a translation output language.
Microsoft References
How to translate speech with the Speech SDK (Python examples show translation_config.
speech_recognition_language = from_language and translation_config.add_target_language(...) ). Microsoft Learn SpeechTranslationConfig (Python) reference - add_target_language(language: str) . Microsoft Lea rn Recognize speech (property usage for speech_recognition_language ). Microsoft Learn Language support for Speech service (locales and codes for recognition/translation)

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