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.

Drag and Drop Question
You are developing an application that will detect faulty components produced on a factory production line. The components are specific to your business.
You need to use the Azure Custom Vision API to help detect common faults.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

You are deploying a support agent that enables users to upload photos.
You need to automatically classify uploaded images for harmful content. The solution must block content based on severity levels.
What should you do?

• A. Use blocklists.
• B. Enable prompt shields.
• C. Implement image moderation.
• D. Apply keyword scanning to optical character recognition (OCR) output by using Azure Vision in Foundry Tools.

You have an invoice-processing application named App1 that uses Azure Constant Understanding in Foundry Tools.
You are building a new Content Understanding pipeline named Pipeline1 that must meet the following requirements:
- Compare an invoice to its related purchase order
- Validate the voice against static vendor contact documents
- Return a single structured output that includes discrepancy findings
You need to configure Pipeline1 and expose the pipeline as a single analyzer endpoint. What should you configure?

• A. a single-file task in standard mode that uses confidence scores enabled for the extracted fields.
• B. a multi-file task in standard mode that uses the invoice and purchase order as input to the analyzer
• C. a multiple-file task in pro mode that uses the vendor contract files as reference data
• D. a single-file task in standard mode that uses the vendor contract provided as an additional document during analysis.

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 conversational experience.
You need to enable both speech to text and text to speech in a real-time agent interaction.
What should you do?

• A. Use batch transcription to convert the audio input and return text responses from the agent.
• B. Use an embeddings model to encode the audio, and then decode the audio into text and speech.
• C. Use speech translation to convert the audio into another language and return the translated text.
• D. Use real-time speech to text for incoming audio and text to speech for agent responses.