Passing exam with AI-103 latest training materials

You have a customer support agent that uses the Microsoft Foundry Agent Service.
Sometimes, customers return to a session days later to continue the same support case, and the agent must resume with the full historical context. The agent must provide the following:
- Multi-turn continuity within the session
- Cross-session continuity for the same case
- Access to the full interaction history, including user messages,
agent messages, tool calls, and tool outputs
You need to ensure that the agent automatically reloads the complete history on each new turn.
What should you do?

• A. Persist only the final model response stored in the client application and prepend the response to future prompts.
• B. Create and reuse a conversation by storing the conversation's ID and supplying the ID on subsequent requests.
• C. Enable memory summarization on the agent definition to persist the context automatically.

Drag and Drop Question
You have a Microsoft Foundry project that contains a deployed ticket-triage agent.
You discover that sometimes the agent responds without calling any tools, even when a tool is required.
You need to ensure that the agent calls a tool during execution.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value 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.

You have an Azure subscription that contains an Azure Al Foundry instance named AI1.
You have an app that automatically triages and resolves issues presented in the log files of a system.
You create an incident manager agent and a DevOps agent that collaborate to resolve the issues.
You need to ensure that the incident manager agent can assign work to the DevOps agent. The solution must minimize development effort.
What should you do?

• A. Configure a connected agent for AI1.
• B. Configure prompt flow for AI1.
• C. Create a plugin for the incident manager agent.
• D. Create a plugin for the DevOps agent.

You are building a chatbot.
You need to ensure that the chatbot can classify user input into separate categories. The categories must be dynamic and defined at the time of inference.
Which service should you use to classify the input?

• A. Azure OpenAI text summarization
• B. Azure AI Language custom named entity recognition (NER)
• C. Azure OpenAI text classification
• D. Azure AI Language custom text classification

You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
You need to improve response completeness. The solution must be implemented in the logic of the application code before responses are returned.
What should you do?

• A. Add a retry evaluation before the responses are returned.
• B. Decrease the value of the max_tokens parameter.
• C. Switch to Retrieval Augmented Generation (RAG).
• D. Replace the model with a smaller deployment.