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Microsoft AI-103 Exam Syllabus Topics:

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have a Microsoft Foundry project that contains an agent named Agent1.
Agent runs successful, but Foundry Control Plane does NOT display values for error rates, runs, and token usage, and the Traces tab is empty.
You need to ensure that Found Control Plane displays the appropriate values for Agent1.
What should you do?

A) Restart Agent from Foundry Control Plan
B) Enable Application Insights for Agent1.
C) Update Agent1 to a new version.
D) Assign to a Log Analytics workspace to Agent1.

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 TB
B) 1 GB
C) 10 GB
D) 100 GB

3. A copilot must answer multi-part questions that depend on earlier turns in the conversation. You want the system to break each complex question into focused subqueries, run them in parallel, and semantically rerank the results before composing an answer. Which Azure AI Search capability provides this?

A) Agentic retrieval
B) A single vector query with a high similarity threshold
C) Increasing the top-k value on a single keyword query
D) Classic keyword search with a scoring profile

4. A production application authenticates to Microsoft Foundry using an API key stored in an environment variable. Your security team requires that you remove hardcoded secrets and enable per-principal auditing of every call. Which approach meets both requirements?

A) Move the API key into Azure Key Vault and rotate it monthly
B) Share a single API key across services and restrict it with IP allow-listing
C) Authenticate with Microsoft Entra ID using a managed identity (keyless)
D) Embed the API key in the deployment pipeline as a masked variable

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

Solutions: