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Azure AI Apps and Agents Developer Associate Exam (AI-103) - Microsoft Exam Questions
Last updated on August 19, 2026
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67
Total Questions
1
Question
You are building a speech processing solution in Microsoft Foundry for a customer support platform. The platform will transcribe live phone calls, so that supervisors at your company can view call transcripts and detect issues while the calls are in progress. The call audio will arrive as a continuous stream from the telephony system. You need to ensure that the call transcripts appear within only a few seconds of the audio stream.
What should you do?
What should you do?
Options
A
Use text to speech by using a custom neural voice.
B
Use real-time speech to text to process streaming audio input.
C
Use speech translation to generate the transcripts into multiple languages.
D
Run a batch transcription job on recorded audio files.
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2
Question
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?
How should you configure the ingestion job?
Options
A
Use basic parsing and fixed-size chunking.
B
Use advanced data parsing to reingest the documents.
C
Use page-level OCR extraction and store each page as a single chunk.
D
Use OCR and page-level chunking.
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3
Question
You need to ensure that Agent1Dev Team can access Agent1. The solution must meet the security HOTSPOT 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.
NOTE: Each correct selection is worth one point.
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4
Question
You have a Microsoft Foundry project named Project1 that contains the following:
• An OpenAPI tool that calls an external API
• A project connection named Connection1 that stores the API key of the external API
When an agent calls the OpenAPI tool, the API returns a 401 unauthorized error, and traces show that the API key header is NOT being sent. You need to ensure that the OpenAPI tool automatically includes the API key from Connection1 on all requests.
What should you do?
• An OpenAPI tool that calls an external API
• A project connection named Connection1 that stores the API key of the external API
When an agent calls the OpenAPI tool, the API returns a 401 unauthorized error, and traces show that the API key header is NOT being sent. You need to ensure that the OpenAPI tool automatically includes the API key from Connection1 on all requests.
What should you do?
Options
A
Enable identity passthrough so that the tool uses the Microsoft Entra token of the caller.
B
Connect the tool to Connection1.
C
Configure the tool to use the default connection of Project1.
D
Add the API key header manually to the OpenAPI specification.
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5
Question
You are creating an agent workflow in a Microsoft Foundry project to support natural voice interactions. The agent must receive continuous audio input, convert the input into text for reasoning, and then
return spoken responses to a
user. The workflow must meet the following requirements: . Support turn-taking dynamics, where the agent begins to generate the speech output before the user finishes speaking. . Operate with low latency to maintain a conversational experience. You need to enable both speech to text and text to speech in a real-time agent interaction.
What should you do?
return spoken responses to a
user. The workflow must meet the following requirements: . Support turn-taking dynamics, where the agent begins to generate the speech output before the user finishes speaking. . Operate with low latency to maintain a conversational experience. You need to enable both speech to text and text to speech in a real-time agent interaction.
What should you do?
Options
A
Use speech translation to convert the audio into another language and return the translated text.
B
Use batch transcription to convert the audio input and return text responses from the agent.
C
Use an embeddings model to encode the audio, and then decode the audio into text and speech.
D
Use real-time speech to text for incoming audio and text to speech for agent responses.
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