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

AI-103 real exams

Exam Code: AI-103

Exam Name: Developing AI Apps and Agents on Azure

Updated: Jul 28, 2026

Q & A: 159 Questions and Answers

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Microsoft AI-103 Exam Syllabus Topics:

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

          Microsoft Developing AI Apps and Agents on Azure Sample Questions:

          1. Hotspot Question
          You have a Python application that redacts sensitive information before sending prompt text to a language model. The application has the following code:

          For each of the following statements, select Yes if the statement is true. Otherwise, select No.
          NOTE: Each correct selection is worth one point.


          2. You are designing a solution that will answer questions about human resources (HR) policies stored in the PDF format.
          You need to ensure that the identical answer to a specific question is returned every time. The solution must minimize development effort.
          Which service should you include in the solution?

          A) Azure AI Language
          B) Azure AI Document Intelligence
          C) Azure OpenAI
          D) Azure Machine Learning


          3. 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) No
          B) Yes


          4. 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 image moderation to block unsafe content before processing the images.
          Does this meet the goal?

          A) No
          B) Yes


          5. You have a Microsoft Foundry agent that grounds responses from an Azure Search index that contains the following:
          - Searchable text fields for product names and product codes
          - A vector field that stores embeddings for product descriptions
          You need to ensure that users can query the index by using the following:
          - Exact product names or codes
          - Natural language descriptions of the products
          What should you configure?

          A) hybrid search
          B) keyword search only
          C) semantic search only
          D) vector search only


          Solutions:

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

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