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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.
The knowledge source for the agent is a set of scanned PDF troubleshooting guides stored in Azure Blob Storage. The guide pages contain two-column layouts and tables.
You use Azure Content Understanding in Foundry Tools to process the PDFs.
You plan to ingest the processed content into an index for Retrieval Augmented Generation (RAG) and store extracted fields for downstream automation.
Stakeholders must be able to verify where each extracted field value came from in the original PDF and route low-reliability extractions for manual review.
You need to ensure that the Content Understanding document analyzer output includes a per- field confidence score and source grounding to locations within the source document.
What should you do?

A) Enable estimateFieldSourceAndConfidence.
B) Provide labeled samples.
C) Set enableSegment to true.
D) Configure the analyzer to use generative extraction for all fields.

2. You have a Microsoft Azure AI Foundry project named Project1.
You plan to create an app named App1 that will connect to Project1 and chat by using a generative AI model.
You need to connect App1 to Project1 by using the Azure AI Foundry SDK. The solution must minimize development effort.
What should you configure in App1?

A) a connection string
B) a project scope key
C) a SASCredentials object
D) an AIProjectClient object

3. An application must translate a high volume of standard product descriptions into 20 languages quickly, consistently, and at the lowest cost. The text is straightforward, with no domain-specific nuance. Which approach best fits?

A) Azure AI Document Intelligence
B) Azure Translator in Foundry Tools
C) A large language model translation flow with a custom system prompt
D) A separately fine-tuned model for each of the 20 target languages

4. You are building an image sharing app that will use Azure AI to prevent users from sharing sexually explicit images.
You need to ensure that inappropriate images are identified correctly. The solution must minimize development effort.
What should you use?

A) Vision Studio in Azure AI Vision
B) Azure AI Content Safety Studio
C) Azure AI Studio
D) Visual Studio

5. You have an application that uses a prebuilt Azure Language model.
You need to generate a summary that meets the following requirements:
- Identify each presenter in the video and attribute each text file to
sentences
- Preserves the original sentence order
- Returns exactly three sentences
Which Language service feature should you use?

A) abstractive summarization
B) key phrase extraction
C) extractive summarization
D) sentiment analysis

Solutions: