Developing AI Apps and Agents on Azure: AI-103 Exam Premium File as PDF & Test Engine

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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have an Azure subscription.
You plan to build an app that will use the Azure OpenAI DALL-E model.
You need to deploy the model.
What should you use?

A) Azure AI Studio and Azure Command-Line Interface (CLI)
B) the Azure portal and Microsoft Graph API
C) the Azure SDK for JavaScript and Azure Machine Learning Studio
D) the Azure SDK for Python and PowerShell cmdlets

2. Hotspot Question
You have a Microsoft Foundry project that contains an internal Q&A agent.
Users report the following issues when they ask the agent questions:
- An increase in the following response: "No relevant information
found"
- Periodic HTTP 429 rate limit exceeded errors during peak hours
You need to identify whether each issue is caused by model unavailability, resource limits, or inference failures.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

3. Hotspot Question
You have a Microsoft Foundry project that contains an agent.
The agent uses tools to retrieve internal content and call external APIs. The agent is configured to let the model decide when to call the tools.
You need to publish the agent for a compliance workflow. The solution must meet the following requirements:
- Each workflow run must include a retrieval step before generating a
response.
- Tool calls must authenticate by using the published agent's own
identity.
- Tool access must use an identity isolated from other project
resources.
- Tool access must use support audit tracing.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

4. You are building a voice agent for a pharmacy. It must accept spoken questions, reply with synthesised speech, and accurately recognise specialised medicine names that a general speech model often mishears. Which capability should you configure?

A) A custom speech model for speech-to-text within the agent
B) Only the default text-to-speech voice
C) Azure AI Document Intelligence on the audio stream
D) Azure Translator to convert the audio

5. You have a chat app in a Microsoft Foundry project and an Azure AI Search vectorized index.
You need to connect to the index to meet the following requirements:
- Complex questions must retrieve information from multiple chunks.
- Multi-turn conversations must influence retrieval planning.
- Retrievals must run in parallel to reduce latency.
Which retrieval approach should you use?

A) classic Retrieval Augmented Generation (RAG)
B) iterative retrieval
C) agentic Retrieval Augmented Generation (RAG)
D) chain of thought

Solutions: