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AI-103 試験練習問題

Microsoft Certified: Azure AI Apps and Agents Developer Associate

AI-103 の PDF 練習問題。資料の言語は 英語です。購入はこの試験のみで、自動更新はありません。

試験概要

AI-103 は「Microsoft Certified: Azure AI Apps and Agents Developer Associate」の認定試験です。試験形式、時間、対応言語は以下をご確認ください。最新の出題範囲や受験条件は公式サイトをご参照ください。

試験コード
AI-103
公式の試験・資格名
Microsoft Certified: Azure AI Apps and Agents Developer Associate
試験形式
Proctored assessment; interactive items may be included
試験時間
120 分
受験可能な言語
英語、簡体字中国語、繁体字中国語、フランス語、ドイツ語、日本語、韓国語、イタリア語、ポルトガル語(ブラジル)、スペイン語

公式試験の対応言語と練習問題ファイルの言語は異なります。試験の版と言語は公式の予約ページでご確認ください。

公式情報: 公式サイト
情報確認日:2026-10-20

対応言語

  • 英語
  • 簡体字中国語
  • 繁体字中国語
購入前にお試し

最初の 20 問を無料プレビュー

全 161 問

題庫の元の順序で表示します。回答欄を開くと、正解と収録されている解説を確認できます。

問題の言語:英語。問題文・選択肢・正解・解説は元の題庫の言語で表示します。

免責事項:ExamPico の問題はすべてインターネット上の情報を整理したもので、学習参考用として提供しています。

問題 6

Question#6Topic1

HOTSPOT -
You have a Python application named App1 that integrates with a Microsoft Foundry project named Project1.
You need to ensure that App1 meets the following requirements:
Authenticates by using a Microsoft Entra managed identity
Sends prompts to a deployed model by using the Azure OpenAI Responses API
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question illustration

正解を表示

正解

CB

問題 7

Question#7Topic1

HOTSPOT -
You have a Microsoft Foundry project that contains a workflow for a customer support triage process.
You have an Ask a question node that stores user responses in a local variable named Var01.
You need to create the following Power Fx expressions:
An if/else condition expression that ensures that Var01 contains a value
A Send message expression that returns the stored user response in uppercase
How should you configure the expressions? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question illustration

正解を表示

正解

CB

問題 8

Question#8Topic1

HOTSPOT -
You have a Microsoft Foundry project that contains a customer support agent built by using the Foundry Agent Service.
The agent uploads user-provided screenshots to Azure Storage through a ticketing tool and receives a blob URL for additional reasoning.
You need to use image moderation during agent runs and prevent harmful content from being returned during runs. Azure AI Content Safety must access the images by using the blob URL. The solution must follow the principle of least privilege.
What should you configure for Content Safety? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question illustration

正解を表示

正解

DC

問題 9

Question#9Topic1

You have a Microsoft Foundry project that contains three agents as shown in the following table.
Question illustration
You need to orchestrate the agents to ensure that the customer requests meet the following requirements:
Support a deterministic, step-based process that uses conditional branching and shared state across the agents.
Optionally trigger a ticket action based on the triage result.
The solution must minimize development effort.
What should you include in the solution?

  1. A. a workflow
  2. B. threads and runs without a workflow
  3. C. a multi-agent group chat session
  4. D. separate agent runs coordinated in the application code
正解と解説を表示

正解

A

解説

Use a workflow in Foundry to orchestrate multiple agents and their interactions; workflows coordinate multi-step, multi-agent processes. See Foundry workflows docs. Official docs: https://learn.microsoft.com

問題 10

Question#10Topic1

You have a Microsoft Foundry project that contains an agent. The agent uses Azure Speech in Foundry Tools.
You fine-tune a baseline speech to text model for the en-us locale and publish the model.
The agent calls the Speech to text REST API and returns an error message indicating that the project ID is invalid.
You need to set the project property to the correct ID.
To what should you set the project property?

  1. A. the project URL
  2. B. the custom speech project ID
  3. C. the project ID
  4. D. the custom speech endpoint URL
正解と解説を表示

正解

C

解説

Azure AI Search (Azure Cognitive Search) indexes PDF content from Azure Blob Storage using the Blob indexer and makes it available for retrieval. For grounding an agent on internal product PDF sheets, Azure AI Search provides indexing, enrichment (OCR), and semantic/vector retrieval for RAG scenarios. See: https://learn.microsoft.com/azure/search/search-howto-indexing-azure-blob-storage and https://learn.microsoft.com/azure/search/overview

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