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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
| Plan and manage Azure AI solutions | 25-30% | - Manage AI solution lifecycle
|
| Implement generative AI solutions | 25-30% | - Optimize and evaluate models
|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Implement agentic solutions | 20-25% | - Manage agent operations
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
You need to ensure that Agent1Dev Team can access Agent1. The solution must meet the security and compliance requirements.
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
credential = DefaultAzureCredential()
agent = project_client.agents.get(agent_name=myAgent)
The correct authentication option is DefaultAzureCredential() because the case study states that API keys must not be used to access Foundry-deployed models and that Contoso developers must authenticate to Microsoft Foundry resources by using Microsoft Entra authentication. It also states that access to Project1 must be assigned to Agent1Dev Team by using the security group SC_Agent1_Dev . Microsoft Foundry authentication guidance recommends Microsoft Entra ID for production workloads because it supports least- privilege RBAC, per-principal auditing, and keyless authentication. AzureKeyCredential() would violate the no-API-key requirement, and None would not provide a valid credential.
The correct agent operation is get because the task is to access an existing agent named Agent1, not create a new version or retrieve a specific published version. Microsoft Foundry SDK examples show AIProjectClient created with DefaultAzureCredential() and then using project agent operations to create, retrieve, or interact with agents by name. To meet the compliance requirement, the group SC_Agent1_Dev must also be granted the appropriate project-scoped Foundry role, such as Foundry User, for Project1. Reference topics: Microsoft Entra authentication, Foundry RBAC, AIProjectClient, and project agent access.
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 Al auditing to meet the following requirements:
* Capture all the nested operations across the entire agent run.
* Record tool invocation arguments and returned 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 to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Use hierarchical spans to represent the execution hierarchy of the complete agent run. Distributed tracing models an operation as a span and can create child spans for nested work. In a multi-agent workflow, the top- level agent run can contain nested model calls, sub-agent invocations, retrieval requests, and tool calls, preserving the parent-child relationship among those activities.
This structure allows auditors to reconstruct how a request moved through the agent system rather than seeing only unrelated log records.
Use tool call attributes to store structured metadata about individual tool invocations, including arguments supplied to tools and the results returned. Attributes belong to the relevant tool-call span and allow engineers to inspect exactly what the agent requested and what the external/internal system returned.
Sampling and trace-sampling policies determine which traces are retained; they do not create the operation hierarchy or capture tool metadata. A KQL query filter is used when querying telemetry and is not instrumentation.
The AI-103 Study Guide explicitly lists auditing through trace logging and provenance metadata and observability through tracing, token analytics, safety signals, and latency breakdowns . Microsoft Learn
You are building an agent that will retrieve the current time at a given location by using a custom API. You need to test the functionality of the custom API.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
* Endpoint selection: assistants
* Function declaration property: tools=[
Comprehensive and Detailed 150 to 250 words of Explanation From Azure AI Apps and Agents Developer/Course Guide/topics:
The command is creating/configuring an assistant that has access to a custom function named get_current_time, so the REST resource shown in the exhibit is assistants .
For the function definition, current Azure OpenAI/Foundry function-calling syntax uses the tools collection.
A function tool is represented by an item with " type " : " function " and a nested " function " object containing its name, description, JSON parameter schema, and required arguments.
Microsoft explicitly documents that the older functions and function_call parameters have been deprecated and that tools and tool_choice should be used instead. Microsoft Learn Therefore, although the embedded exhibit ' s answer image shows functions=[, the currently verified Microsoft syntax is tools=[ .
content represents message content rather than an agent tool definition. tool_resources is used for resources required by certain hosted tools and is not where a custom function schema is declared.
The AI-103 Study Guide requires candidates to define tool schemas and integrate agent tools, including APIs and custom functions . Microsoft Learn
You have a Microsoft Foundry project that contains an agent.
The agent uses a knowledge source built from documents stored in Azure Blob Storage. The documents include digitally scanned PDFs that contain multipage tables.
You have an ingestion job that extracts only plain text, causing loss of table structure, headings, and page- number metadata.
Users frequently ask questions that require the retrieval of specific table rows across the pages.
You need to configure an ingestion job for a Retrieval Augmented Generation (RAG) pipeline that performs optical character recognition (OCR) on scanned PDFs, preserves tables and headings as structure-aware chunks, and stores page-number metadata with each chunk.
How should you configure the ingestion job?
- A. Use OCR and page-level chunking.
- B. Use page-level OCR extraction and store each page as a single chunk.
- C. Use advanced data parsing to reingest the documents.
- D. Use basic parsing and fixed-size chunking.
Correct Answer: C 🗳️
You develop a test method to verity. The results retrieved from a call to the Azure Vision in Foundry Tools API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
The first statement is Yes because the conditional expression explicitly requires:
brand.confidence > = 0.75
Only brands meeting or exceeding the 0.75 confidence threshold are printed.
The second statement is Yes . A standard image bounding rectangle exposes x and y as the rectangle ' s origin, corresponding to the upper-left corner. Therefore, printing brand.rectangle.x and brand.rectangle.y provides top-left coordinates.
The third statement is No . The properties w and h represent the width and height of the bounding rectangle, not the absolute x/y coordinates of its lower-right corner.
To obtain the bottom-right coordinates, the application would calculate approximately:
right = x + w
bottom = y + h
Consequently, simply printing (w, h) does not identify the lower-right point despite the wording used in the print statement.
Bounding regions are a common output structure in computer-vision services and must be interpreted correctly when applications overlay detections or validate the physical location of visual entities.
Study Guide alignment: implement solutions that identify objects, components, or regions within images and interpret spatial model outputs . Microsoft Learn
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