May be you will meet some difficult or problems when you prepare for your AI-103 exam, you even want to give it up. It is no exaggeration to say that our study material is the most effective product for candidates to prepare for their exam. Because AI-103 exam torrent can help you to solve all the problems encountered in the learning process, AI-103 practice test will provide you with very flexible learning time so that you can easily pass the exam. At the same time, if you have any questions during the trial period of AI-103 quiz guide, you can feel free to communicate with our staffs, and we will do our best to solve all the problems for you.

DOWNLOAD DEMO

Flexible learning time

All the materials in AI-103 exam torrent can be learned online or offline. You can use your mobile phone, computer or print it out for review. With AI-103 practice test, if you are an office worker, you can study on commute to work, while waiting for customers, and for short breaks after work. If you are a student, AI-103 quiz guide will also make your study time more flexible. With AI-103 exam torrent, you don't need to think about studying at the time of playing. You can study at any time you want to study and get the best learning results with the best learning status.

Free trial service

Students often feel helpless when purchasing test materials, because most of the test materials cannot be read in advance, students often buy some products that sell well but are actually not suitable for them. But if you choose AI-103 practice test, you will certainly not encounter similar problems. Before you buy AI-103 exam torrent, you can log in to our website to download a free trial question bank, and fully experience the convenience of PDF, APP, and PC three models of AI-103 quiz guide. During the trial period, you can fully understand the learning mode of AI-103 practice test, completely eliminate any questions you have about AI-103 exam torrent, and make your purchase without any worries.

Continuously update

The team of experts hired by AI-103 exam torrent constantly updates and supplements the contents of our study materials according to the latest syllabus and the latest industry research results, and compiles the latest simulation exam question based on the research results of examination trends. We also have dedicated staffs to maintain updating AI-103 practice test every day, and you can be sure that compared to other test materials on the market, AI-103 quiz guide is the most advanced. With AI-103 exam torrent, there will not be a situation like other students that you need to re-purchase guidance materials once the syllabus has changed. Even for some students who didn't purchase AI-103 quiz guide, it is impossible to immediately know the new contents of the exam after the test outline has changed. AI-103 practice test not only help you save a lot of money, but also let you know the new exam trends earlier than others.

Microsoft AI-103 Exam Syllabus Topics:

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. Case Study 1 - Contoso, Ltd
Overview
Company Information
Contoso, Ltd is a multinational retail company that builds, deploys, and manages generative AI and agent-based solutions by using Microsoft Foundry.
Existing Environment
Identity Environment
Contoso uses Microsoft Entra ID for identity management, authentication, and authorization capabilities that enable agents to access organizational resources and services.
Contoso recently formed a new AI engineering team named Agent1Dev Team to optimize and maintain existing AI solutions.
The team collaborates with solution architects, DevOps engineers, and security engineers to design, implement. monitor, and secure AI applications.
Contoso also has a team named Agent1Test Team that is responsible for validating AI solutions before the solution deployments.
Generative Environment
Contoso has a Microsoft Foundry deployment that contains two projects named Project1 and Project2.
Project1
Project1 contains a customer support agent named Agent1 that assists customers with product inquiries and troubleshooting requests.
Agent1 has the following configurations:
- Agent1 uses a base model deployment.
- A safety evaluation pipeline is NOT enabled.
- Tool invocation approval workflows are NOT enabled.
- Conversation memory constraints are NOT configured.
Agent1 interacts with customers by using digital support channels and answers general questions about Contoso products.
Project1 is deployed to an Azure region located in the European Union (EU).
Agent1Dev Team will use Project1 to optimize and maintain Agent1.
Project2
Project2 contains a deployed video generation model. The marketing department at Contoso has access to Project2 and plans to use the model to develop a video creation solution.
Development of the solution is incomplete.
Data Environment
Contoso stores product-related information in Azure resources that support AI applications.
The Azure environment contains an Azure Blob Storage account named storage1 that stores product detail sheets for all the Contoso products.
The product sheets include specifications, feature descriptions, and product support information that Agent1 can use to answer customer questions. The product sheets are stored in the PDF format.
Problem Statements
Contoso identifies the following issues:
- Agent1 has only general knowledge of the Contoso products.
- A recent chat interaction with Agent1 was analyzed for sentiment. The results of the analysis have NOT been processed yet.
- Agent1 does NOT use the detailed product information in the product sheets stored in storage1 when responding to customer questions.
- The finance department at Contoso reports that vendor invoices must be reviewed manually to ensure that the invoices match the terms defined in the vendor contracts. The invoices contain tables, logos, and varied layouts that make the documents difficult to process consistently.
Requirements
Planned Changes
Contoso plans to implement the following changes:
- Implement a solution for Project1 that analyzes the vendor invoices by evaluating both the visual layout and the textual content of the invoices, so that the invoice details can be verified against the vendor contract terms.
- Update the base model deployment used by Agent1 and standardize the model version to ensure continuity and consistent responses.
- Enable Agent1 to retrieve and use the detailed product information from the product sheets stored in storage1.
- Implement an indexing solution for the product sheets that Agent1 can use to answer customer questions.
- Complete the development of the video creation solution.
Technical Requirements
Contoso identifies the following technical requirements:
- The model deployment used by Agent1 must support scalable, high-throughput generative AI workloads and dynamically scale to handle variable customer support traffic, without requiring reserved throughput capacity.
- The product sheets must be processed by using an indexing pipeline that enables semantic and vector search, so that Agent1 can retrieve the relevant product information.
- Responses generated by using the product sheet information must be relevant, complete, and accurate.
- Agent1 must be able to use the product sheets to answer natural language questions about product details.
- The model version used by Agent1 must remain consistent to ensure stable responses.
- The data processed by the model must remain within the EU.
Security and Compliance Requirements
Contoso identifies the following security and compliance requirements:
- API keys must NOT be used to access Foundry-deployed models.
- Access to the Azure resources must follow the principle of least privilege.
- The developers at Contoso must authenticate to Microsoft Foundry resources by using Microsoft Entra authentication.
- Access to Project1 must be assigned to the members of Agent1Dev Team by using a security group named SC_Agent1_Dev.
- Access to Project1 must be assigned to the members of Agent1Test Team by using a security group named SC_Agent1_Test.
- Agent1 must never reveal customer information, even if a document that contains customer data is added erroneously to the product sheet repository in storage1.
- The product sheets might contain images that include embedded text. Agent1 must be protected from malicious instructions potentially hidden within the images.
Business Requirements
Contoso identifies the following business requirements:
- Users that interact with Agent1 must have a personalized experience in future interactions, including the ability for Agent1 to retain conversation context and recall relevant information from previous interactions.
- Agent1 must answer questions only about the products sold by Contoso.
You need to recommend a solution to support the planned changes and technical requirements for Agent1 to use the product information stored in storage1. What should you include in the recommendation?

A) Azure Document intelligence in Foundry Tools
B) Azure AI Search
C) Grounding with Bing Search
D) Azure Translator in Foundry Tools

2. You have a Microsoft Foundry project that contains an agent.
You need to process mixed-format documents that contain scanned text, tables, and multicolumn layouts. The extracted content must preserve the document structure and be converted into the Markdown format for downstream reasoning.
What should you configure first?

A) an Azure OpenAI Responses API call that uses a multimodal model
B) a generative chat completion request
C) an Azure Language in Foundry Tools text analysis model deployment
D) an Azure Content Understanding in Foundry Tools analyzer

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

4. Drag and Drop Question
You have a Microsoft Foundry project that contains a multi-agent solution. The agents use tool calling to query internal systems.
You need to implement responsible AI auditing to meet the following requirements:
- Capture all the nested operations across the entire agent run.
- Record tool invocation arguments and retuned results as metadata.
What should you use for each requirement? To answer, drag the appropriate options to the correct targets Each option may be used once, more than once, or not at all. You may need o dag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

5. Hotspot Question
You have an Azure subscription.
You need to create a new resource that will generate fictional stores in response to user prompts.
The solution must ensure that the resource uses a customer-managed key to protect data.
How should you complete the script? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Solutions: