Microsoft Developing AI Apps and Agents on Azure : AI-103 valid dumps

AI-103 real exams

Exam Code: AI-103

Exam Name: Developing AI Apps and Agents on Azure

Updated: Jul 24, 2026

Q & A: 107 Questions and Answers

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Microsoft AI-103 Exam Syllabus Topics:

SectionObjectives
Plan and Manage Azure AI Solutions- Responsible AI principles and governance
- Model selection and lifecycle management
- Azure AI resource provisioning and configuration
Knowledge Mining and Information Retrieval- Azure AI Search configuration
- RAG (Retrieval Augmented Generation) patterns
- Indexing and semantic search
Develop Generative AI Applications and Agents- AI agents architecture
  • 1. Memory and state management
    • 2. Agent orchestration and workflows
      - Azure OpenAI Service integration
      • 1. Function calling and tool use
        • 2. Prompt engineering and prompt flow design
          Implement Computer Vision Solutions- Image classification and object detection
          - OCR and document intelligence
          Implement Natural Language Processing Solutions- Text analytics and summarization
          - Language understanding and intent recognition
          - Translation and multilingual support

          Microsoft Developing AI Apps and Agents on Azure Sample Questions:

          1. Drag and Drop Question
          You have a Microsoft Foundry project that processes procurement documents submitted by suppliers.
          You need to implement two pipelines by using Azure Content Understanding in Foundry Tools.
          The solution must meet the following requirements:
          - Include a pipeline named Pipeline1 that supports cost-effective,
          high-volume processing of standalone PDF invoices.
          - Include a pipeline named Pipeline2 that supports cross-document
          validation by using multi-step reasoning and reference data.
          How should you configure each pipeline? To answer, drag the appropriate configurations to the correct pipelines. Each configuration may be used once, more than once, of not at all. You may need to drag the split bar between panes or scroll to view content.
          NOTE: Each correct selection is worth one point.


          2. Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
          After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
          You have a multimodal AI generative model that accepts image uploads and uses extracted image text to generate responses.
          You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model.
          You need to implement controls to mitigate the risk.
          Solution: You configure a prompt shield for user prompts.
          Does this meet the goal?

          A) Yes
          B) No


          3. You have an Azure subscription that contains an Azure OpenAI resource.
          You deploy the GPT-4 model to the resource.
          You need to ensure that you can upload files that will be used as grounding data for the model.
          Which two types of resources should you create? Each correct answer presents part of the solution.
          NOTE: Each correct selection is worth one point.

          A) Azure AI Bot Service
          B) Azure AI Search
          C) Azure Blob Storage
          D) Azure SQL
          E) Azure AI Document Intelligence


          4. You have an application that processes scanned PDF invoices. The invoices have varied layouts and include multipage tables.
          You have a pipeline that uses optical character recognition (OCR) and extracts totals and invoice numbers. The results are often incorrect because the document structure is ignored.
          You need to implement a solution that provides OCR, layout analysis, and template-generalizing field extraction. The solution must NOT require training a custom model. The solution must minimize administrative effort.
          What should you include in the solution?

          A) Azure Language in Foundry Tools
          B) an Azure Machine Learning model
          C) Azure Content Understanding in Foundry Tools


          5. You plan to build an agent that will combine and process multiple files uploaded by users.
          You are evaluating whether to use the Azure AI Agent Service to develop the agent.
          What is the maximum size of all the files that can be uploaded to the service?

          A) 1 GB
          B) 100 GB
          C) 10 GB
          D) 1 TB


          Solutions:

          Question # 1
          Answer: Only visible for members
          Question # 2
          Answer: A
          Question # 3
          Answer: B,C
          Question # 4
          Answer: C
          Question # 5
          Answer: B

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