Exam Name: Developing AI Apps and Agents on Azure
Certification Provider: Microsoft
Corresponding Certification: Azure AI Engineer Associate
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Last Updated: Oct 16, 2026
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Microsoft AI-103 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Plan and Manage Azure AI Solutions | - Model selection and lifecycle management - Responsible AI principles and governance - Azure AI resource provisioning and configuration |
| Topic 2: Implement Natural Language Processing Solutions | - Translation and multilingual support - Text analytics and summarization - Language understanding and intent recognition |
| Topic 3: Implement Computer Vision Solutions | - OCR and document intelligence - Image classification and object detection |
| Topic 4: Develop Generative AI Applications and Agents | - AI agents architecture
|
| Topic 5: Knowledge Mining and Information Retrieval | - Azure AI Search configuration - RAG (Retrieval Augmented Generation) patterns - Indexing and semantic search |
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
You need to add an automated grounding check to a RAG application's continuous evaluation.
The check must return a simple pass or fail result and must not require you to deploy a separate judge model. Which evaluator should you use?
- A. Relevance
- B. Fluency
- C. Groundedness, which returns a 1 to 5 score
- D. Groundedness Pro
Correct Answer: D 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
You have an Azure subscription.
You plan to build an app that will use the Azure AI DALL-E model.
You need to deploy the model.
What should you use?
- A. the Azure SDK for JavaScript and Azure Machine Learning Studio.
- B. the Azure portal and Microsoft Graph API
- C. Microsoft Foundry and the Azure Command Line Interface (CLI)
- D. the Azure SDK for Python and PowerShell cmdlets.
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
A customer support agent must answer from an internal knowledge base that is updated weekly with new product documentation, and its answers must always reflect the latest content. Which approach should you implement?
- A. Apply Direct Preference Optimization (DPO) to the documents
- B. Fine-tune the base model on the new documents every week
- C. Raise the model temperature to improve recall of recent facts
- D. Implement retrieval-augmented generation (RAG) over an index of the documents
Correct Answer: D 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
You are creating an image-editing workflow in a Microsoft Foundry project.
The workflow must meet the following requirements:
- Ensure that background objects can be removed by applying a mask-
based inpainting edit.
- Preserve the original lighting and style of the edited images.
- Use the built-in image editing controls, NOT a custom model.
You need to ensure that image edits apply exclusively inside the masked area.
How should you configure the workflow?
- A. Set generation mode to image_variation and provide the original image as a reference.
- B. Enable image_to_image mode and a high-strength value to regenerate the full image based on the prompt.
- C. Enable mask_inpainting and supply both the input image and a mask indicating which part of the image to modify.
- D. Enable text_to_image mode and a prompt describing the desired background removal.
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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 documents.
Does this meet the goal?
- A. No
- B. Yes
Correct Answer: B 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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