Microsoft AI-103 Q&A - in .pdf

  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 30, 2026
  • Q & A: 159 Questions and Answers
  • PDF Price: $59.99
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Microsoft AI-103 Q&A - Testing Engine

  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 30, 2026
  • Q & A: 159 Questions and Answers
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Microsoft AI-103 Exam Syllabus Topics:

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

          Microsoft Developing AI Apps and Agents on Azure Sample Questions:

          Question 1

          You have a Microsoft Foundry project named Project1 that contains an agent. The agent uses an OpenAPI 3.0 specification to call an external weather service.
          The weather service requires a key to be passed in an HTTP header. The key value is stored as a connection in Project1.
          You need to ensure that the key value from the connection is included automatically whenever the OpenAPI tool is invoked.
          What should you configure in the OpenAPI specification?

          A. a Bearer token security scheme
          B. an Azure Key Vault connection
          C. a header parameter defined for each operation
          D. an API key security scheme


          Question 2

          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. 10 GB
          C. 100 GB
          D. 1 TB


          Question 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 Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
          Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content.
          You need to improve response completeness.
          Solution: You increase the value of the temperatureparameter.
          Does this meet the goal?

          A. Yes
          B. No


          Question 4

          Drag and Drop Question
          You are developing an application that will detect faulty components produced on a factory production line. The components are specific to your business.
          You need to use the Azure Custom Vision API to help detect common faults.
          Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.


          Question 5

          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?

          A. the project URL
          B. the project ID
          C. the custom speech project ID
          D. the custom speech endpoint URL


          Solutions:

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

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