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Updated: Oct 22, 2026
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Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.
They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate
How to Register For Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution?
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 |
| Exam Format: | Case studies, Active screen questions, Multiple-choice, Drag-and-drop |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Exam Duration: | 120 minutes |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Passing Score: | 700 (on a scale of 1-1000) |
| Exam Price: | $165 USD |
| Available Languages: | Chinese (Simplified), Korean, English, Japanese |
| Real Exam Qty: | 40-60 |
| Sample Questions: | Microsoft AI-102日本語 Sample Questions |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
Prep Options to Choose
The preparation process for the exam is a vital step on your way of passing the test, that’s why you need to find the most actual and reliable resources. Microsoft offers two options for you to choose from online free training or instructor-led, which is a paid one. For example, the free training represents a collection of learning paths each of which contains the different number of modules, from one to five. Thus, you can choose which ones to follow: Prepare for AI engineering (1 module), Process and Translate Speech with Azure Cognitive Speech Services (2 modules), Create computer vision solutions with Azure Cognitive Services (3 modules), to name a few. The paid course is known to be Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution and lasts for 4 days. It is intended for software developers interested in developing skills to build AI infused apps that use Azure Cognitive Search and Services, and Microsoft Bot Framework.
In addition, you can check the Amazon website to find the books on the topics included in the exam to ace it from the first attempt. Only after the successful passing the AI-102 exam you will earn the Microsoft Certified: Azure AI Engineer Associate certification. So, good luck!
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Topic 2: Implement Computer Vision Solutions | 15-20% | - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification - Analyze images using Azure AI Vision - Process video and generate insights - Implement Azure AI Face service |
| Topic 3: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Create custom skills for Azure AI Search - Design document processing pipelines - Implement semantic and vector search |
| Topic 4: Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Apply responsible AI practices |
| Topic 5: Implement Natural Language Processing Solutions | 20-25% | - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech - Analyze text using Azure AI Language - Build question answering solutions |
| Topic 6: Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Select appropriate Azure AI services and technologies |
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) Sample Questions:
Azure Al コンテンツ セーフティ リソースを含む Azure サブスクリプションがあります。
ユーザーが画像を共有できるソーシャル メディア アプリを構築しています。
ユーザーがアップロードした不適切なコンテンツを管理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。
Correct Answer:
Explanation:
The question describes:
An Azure subscription with an Azure AI Content Safety resource.
A social media application where users can upload images.
The requirement is to moderate inappropriate content in those uploaded images.
In Azure AI Content Safety SDKs:
You create a ContentSafetyClient by providing the endpoint and key.
The ContentSafetyClient exposes methods such as:
AnalyzeText() # For text moderation
AnalyzeImage() # For image moderation
Let's review the code structure:
public static void Analyze ( AnalyzeImageOptions request )
{
var endpoint = Environment.GetEnvironmentVariable( " ENDPOINT " );
var key = Environment.GetEnvironmentVariable( " KEY " );
var client = new ContentSafetyClient( new Uri(endpoint), new AzureKeyCredential(key)); return client.AnalyzeImage(request);
}
First dropdown: must be ContentSafetyClient to instantiate the correct client for Azure AI Content Safety.
Second dropdown: since the requirement is image moderation, we must call client.AnalyzeImage(request) .
Other options:
BlocklistClient # used for custom blocklists, not full moderation.
TextCategoriesAnalysis # refers to text analysis categories, not suitable here.
AnalyzeText # would be used only for text moderation.
Therefore, the correct completion is:
ContentSafetyClient
client.AnalyzeImage(request)
The answer:
First dropdown: ContentSafetyClient
Second dropdown: client.AnalyzeImage(request)
Microsoft References
Azure AI Content Safety - Analyze images
Azure AI Content Safety SDK documentation
ContentSafetyClient class
ソーシャルメディアのメッセージにおけるブランドの認知度を測定する必要があります。どのAzure Cognitive Servicesサービスを使用すべきでしょうか？
- A. コンピュータービジョン
- B. テキスト分析
- C. コンテンツモデレーター
- D. フォーム認識機能
Correct Answer: B 🗳️
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CSAccount1 という Azure AI サービスリソースと VNet1 という仮想ネットワークを含む Azure サブスクリプションがあります。CSAaccount1 は VNet1 に接続されています。特定のリソースのみが CSAccount1 にアクセスできるようにする必要があります。ソリューションは以下の要件を満たす必要があります。
* CSAccount1への外部アクセスを防止
* 管理作業の最小化
実行すべき2つのアクションはどれですか？ それぞれの正解は解決策の一部を示しています。注：正解1つにつき1ポイントが加算されます。
- A. VNet1 で仮想サブネットを作成します。
- B. CSAccount1 で、仮想ネットワークの設定を変更します。
- C. VNet1 で、仮想ネットワークの設定を変更します。
- D. VNet1でCSAccount1のサービスエンドポイントを有効にします
- E. CSAccount1 で、アクセス制御 (1AM) 設定を構成します。
Correct Answer: B,D 🗳️
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カスタム Form Recognizer モデルを構築します。
次の表に示すように、モデルのトレーニングに使用するサンプル ファイルを受け取ります。
モデルのトレーニングに使用できるファイルは 3 つあります。正解ごとに完全なソリューションが提示されます。(3 つ選択してください。) 注: 正解を選択するごとに 1 ポイントが加算されます。
- A. ファイル5
- B. ファイル1
- C. ファイル4
- D. ファイル6
- E. ファイル3
- F. ファイル2
Correct Answer: B,D,E 🗳️
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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 Tools の Azure Speech
- B. Foundry Tools の Azure Translator
- C. Foundry ToolsにおけるAzure言語
- D. Foundry制御プレーンにおけるコンテンツの安全性
Correct Answer: B 🗳️
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