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Microsoft AI-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design AI Solutions40-45%- Design knowledge mining and search solutions
- Select appropriate Azure Cognitive Services
- Design conversational AI and bot solutions
- Design computer vision solutions
- Design natural language processing solutions
- Integrate open-source and custom AI components
Topic 2: Implement and Monitor AI Solutions25-30%- Deploy AI solutions to Azure infrastructure
- Maintain and update AI solutions
- Configure security and access controls
- Monitor performance, usage, and health
- Integrate AI models and services into applications
Topic 3: Analyze Solution Requirements25-30%- Evaluate data storage and processing options
- Define solution performance and scalability criteria
- Assess security, compliance, and governance needs
- Identify business and technical requirements

AI-100日本語 Exam Facts, Privacy, and Preferential Terms

At present, the AI-100日本語 exam's passing score is 700 (scaled out of 1000), and registration costs USD 165 (varies by region). Since failing means registering again at full price, thorough preparation is the economical choice — and Microsoft can revise both figures, so confirm them officially before booking.

The Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) blueprint is built around these main domains:

  • Design AI Solutions (40-45%)
  • Implement and Monitor AI Solutions (25-30%)
  • Analyze Solution Requirements (25-30%)

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Microsoft publishes these prerequisites for the Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版): No mandatory prerequisites; recommended: Azure fundamentals, C#/Python, REST APIs, basic AI/ML knowledge.

Verify the current requirements on the official certification page.

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Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) Sample Questions:

loTデバイスから温度データを取り込み、平均温度を計算し、集約されたデータに基づいてアクションを実行するソリューションを設計しています。ソリューションは次の要件を満たしている必要があります。
*アップロードされるデータの量を最小限にします。
*可能な限り迅速に集約データに基づいてアクションを実行します。
ソリューションに何を含めるべきですか?回答するには、回答エリアで適切なオプションを選択します。
注:それぞれの正しい選択には1ポイントの価値があります。

Reveal Solution  Discussion  0

Correct Answer:


Explanation

Box 1: Azure Functions
Azure Function is a (serverless) service to host functions (little piece of code) that can be used for e. g. event driven applications.
General rule is always difficult since everything depends on your requirement but if you have to analyze a data stream, you should take a look at Azure Stream Analytics and if you want to implement something like a serverless event driven or timer-based application, you should check Azure Function or Logic Apps.
Note: Azure IoT Edge allows you to deploy complex event processing, machine learning, image recognition, and other high value AI without writing it in-house. Azure services like Azure Functions, Azure Stream Analytics, and Azure Machine Learning can all be run on-premises via Azure IoT Edge.
Box 2: An Azure IoT Edge device
Azure IoT Edge moves cloud analytics and custom business logic to devices so that your organization can focus on business insights instead of data management.
References:
https://docs.microsoft.com/en-us/azure/iot-edge/about-iot-edge

クリックストリーム分析を実行するアプリケーションを開発しています。アプリケーションは、数百万のメッセージをリアルタイムで取り込み、分析します。
アプリケーションとデバイス間の通信が双方向であることを確認する必要があります。
データの取り込みとストリーム処理には何を使用する必要がありますか?回答するには、回答エリアで適切なオプションを選択します。
注:それぞれの正しい選択には1ポイントの価値があります。

Reveal Solution  Discussion  0

Correct Answer:


Explanation
Box 1: Azure IoT Hub
Azure IoT Hub is the cloud gateway that connects IoT devices to gather data and drive business insights and automation. In addition, IoT Hub includes features that enrich the relationship between your devices and your backend systems. Bi-directional communication capabilities mean that while you receive data from devices you can also send commands and policies back to devices.
Note on why not Azure Event Hubs: An Azure IoT Hub contains an Event Hub and hence essentially is an Event Hub plus additional features. An important additional feature is that an Event Hub can only receive messages, whereas an IoT Hub additionally can also send messages to individual devices. Further, an Event Hub has access security on hub level, whereas an IoT Hub is aware of the individual devices and can grand and revoke access on device level.
Box 2: Azure HDInsight with Apache Storm
References:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-compare-event-hubs
https://www.edureka.co/blog/introduction-to-real-time-analytics-with-apache-storm/

Bing Web Search APIを統合し、JSON応答を返すソリューションを設計しています。
会社の開発チームは、主要な開発言語としてC#を使用しています。
開発者にBingエンドポイントを提供します。
開発者がAPI呼び出しを使用してデータを準備および取得する必要がある追加コンポーネントはどれですか?

  • A. a query
  • B. the subscription ID
  • C. the resource group ID
  • D. the API key
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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コンピュータービジョンアプリケーションを開発しています。
オンプレミスデータベースからAzure Blobストレージにデータを読み込むワークフローを使用して、Azure Machine Learningサービスに接続する予定です。
ワークフローの調整に何を使用する必要がありますか?

  • A. Azureパイプライン
  • B. Azure Container Instances
  • C. Azure Kubernetes Service(AKS)
  • D. Azure Data Factory
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

Speech Services APIの音声読み上げ機能を使用して会議を記録するアプリがあります。
各会議の最後にアクションアイテムがリストされると、アプリがテキストを不正確に転写することがわかります。
会議記録の精度を改善する必要があります。
あなたは何をするべきか?

  • A. カスタムトランスレーターを使用してカスタムモデルをトレーニングする
  • B. カスタムウェイクワードを作成する
  • C. フレーズリストを追加する
  • D. 言語理解(LUIS)APIを使用してテキストを解析する
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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

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