Once a latest version releases, our system sends it to your email automatically and immediately. The Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) real braindump at Prep4sureGuide: 163 practice questions for the AI-100日本語 exam in 2026.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing an Azure AI Solution |
| Exam Number: | AI-100 |
| Passing Score: | 700 (scaled out of 1000) |
| Exam Price: | USD 165 (varies by region) |
| Real Exam Qty: | 50-60 |
| Exam Duration: | 150 minutes |
| Certificate Validity Period: | 2 years from issue date |
| Exam Format: | Case studies, Scenario-based questions, Multiple-choice, Drag-and-drop |
| Available Languages: | English, Korean, Japanese, Chinese (Simplified) |
| Related Certifications: | Replaced by AI-102: Designing and Implementing a Microsoft Azure AI Solution |
| Recommended Training: | Microsoft Learn Free Learning Paths AI-102 Replacement Exam Details |
| Exam Registration: | Pearson VUE Registration Microsoft Learn Exam Page |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers; RETIRED effective June 30, 2021 |
| Pre Condition: | No mandatory prerequisites; recommended: Azure fundamentals, C#/Python, REST APIs, basic AI/ML knowledge |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-100/ |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analyze Solution Requirements | 25-30% | - Identify business and technical requirements - Define solution performance and scalability criteria - Assess security, compliance, and governance needs - Evaluate data storage and processing options |
| Topic 2: Design AI Solutions | 40-45% | - Design natural language processing solutions - Integrate open-source and custom AI components - Design knowledge mining and search solutions - Design conversational AI and bot solutions - Select appropriate Azure Cognitive Services - Design computer vision solutions |
| Topic 3: Implement and Monitor AI Solutions | 25-30% | - Maintain and update AI solutions - Deploy AI solutions to Azure infrastructure - Monitor performance, usage, and health - Integrate AI models and services into applications - Configure security and access controls |
Yes:
After any course, reinforce it with the 163 practice questions for the Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) — every answer expert-verified.
The Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) blueprint spans 3 domains — including Design AI Solutions (40-45%), Implement and Monitor AI Solutions (25-30%), Analyze Solution Requirements (25-30%). Know your strength and shortcoming per domain; the complete outline above lists every subtopic.
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Yes — download the free trial of the Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) study materials before you buy and judge the profession and accuracy yourself. Purchases include 365 days of free updates, sent automatically and immediately by email; renew afterward at 50% off.
USD 165 (varies by region) per attempt, 700 (scaled out of 1000) to pass. A failed attempt is a loss of time and money — prepare steadily with the 163 practice questions for the AI-100日本語 exam at Prep4sureGuide.
Through the vendor's official registration channels:
The Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) is delivered Online proctored or onsite at Pearson VUE test centers; RETIRED effective June 30, 2021 — pick the arrangement that suits you when booking.
The Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) is Microsoft's certification exam for Microsoft Certified: Azure AI Engineer Associate, at the Associate level. Passing it is a new start — toward better salary, decent work, and promotion chances. Related credentials include Replaced by AI-102: Designing and Implementing a Microsoft Azure AI Solution.
No mandatory prerequisites; recommended: Azure fundamentals, C#/Python, REST APIs, basic AI/ML knowledge Eligibility rules change over time, so verify the current requirements on the official page (official AI-100日本語 exam page) before registering.
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注:この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
質問に答えた後、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Machine LearningモデルをAzure Kubernetes Service(AKS)コンテナーにデプロイしています。
モデルの各実行の精度を監視する必要があります。
解決策:コンテナー用にAzure Monitorを構成します。
これは目標を達成していますか?
Correct Answer: B 🗳️
Azure loT Edgeデバイスからデータを取り込み、Azure Machine Learningでデータを前処理し、その後の処理のためにデータをAzure HDInsightに移動するソリューションを設計しています。
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。
Correct Answer:

Explanation
Box 1: Export Data
The Export data to Hive option in the Export Data module in Azure Machine Learning Studio. This option is useful when you are working with very large datasets, and want to save your machine learning experiment data to a Hadoop cluster or HDInsight distributed storage.
Box 2: Apache Hive
Apache Hive is a data warehouse system for Apache Hadoop. Hive enables data summarization, querying, and analysis of data. Hive queries are written in HiveQL, which is a query language similar to SQL.
Box 3: Azure Data Lake
Default storage for the HDFS file system of HDInsight clusters can be associated with either an Azure Storage account or an Azure Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-to-hive-query
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/hdinsight-use-hive
テキスト分析およびコンピュータービジョンサービスを展開する予定です。 Azure Cognitive Servicesは、米国西部および東ヨーロッパのAzureリージョンに展開されます。
計画された展開に必要なサービスエンドポイントとAPIキーの最小数を識別する必要があります。
何を特定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。
Correct Answer:

Explanation
Box 1: 2
After creating a Cognitive Service resource in the Azure portal, you'll get an endpoint and a key for authenticating your applications. You can access Azure Cognitive Services through two different resources: A multi-service resource, or a single-service one.
Multi-service resource: Access multiple Azure Cognitive Services with a single key and endpoint.
Note: You need a key and endpoint for a Text Analytics resource. Azure Cognitive Services are represented by Azure resources that you subscribe to.
Each request must include your access key and an HTTP endpoint. The endpoint specifies the region you chose during sign up, the service URL, and a resource used on the request Box 2: 2 You need at least one key per region.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account
多くの異なるAzure Machine Learningモデルのトレーニングに使用されるAzure Batch Alソリューションを設計しています。ソリューションは以下を実行します。
*画像認識
*畳み込みニューラルネットワークを使用する深層学習
モデルごとに計算インフラストラクチャを選択する必要があります。ソリューションは、処理時間を最小限に抑える必要があります。
各モデルに何を使用する必要がありますか?答えるには、適切な計算インフラストラクチャを正しいモデルにドラッグします。各コンピューティングインフラストラクチャは、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。コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
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。
Correct Answer:

Explanation
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sizes-gpu
トークンを使用してAzure Cognitive Servicesリソースに接続するカスタムアプリケーションを開発します。
新しいセキュリティポリシーでは、すべてのアクセスキーを30日ごとに変更する必要があります。
セキュリティポリシーを実装するソリューションを推奨する必要があります。
どの3つのアクションを30日ごとに実行することをお勧めしますか?回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Correct Answer:

Explanation
Step 1: Generate new keys in the Cognitive Service resources
Step 2: Retrieve a token from the Cognitive Services endpoint
Step 3: Update the custom application to use the new authorization
Each request to an Azure Cognitive Service must include an authentication header. This header passes along a subscription key or access token, which is used to validate your subscription for a service or group of services.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/authentication
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