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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You need to recommend a solution to support the planned changes and technical requirements for Agent1 to use the product information stored in storage1.
What should you include in the recommendation?

A) Grounding with Bing Search
B) Azure Translator in Foundry Tools
C) Azure Al Search
D) Azure Document Intelligence in Foundry Tools

2. You are building a web app named App1 that generates responses by using a model deployed to a Microsoft Foundry project named Project1.
Before sending the prompts to the model, App1 must retrieve documents by using Azure AI Search.
You need to integrate Project1 and App1. The solution must meet the following requirements:
* Multiple client applications must use the same search configuration.
* A security policy must prevent key-based authentication.
* Administrative effort must be minimized.
What should you do?

A) Call Azure AI Search directly from each application by using Microsoft Entra authentication.
B) Enable a managed identity for each application and call Azure AI Search directly.
C) Configure an Azure AI Search connection in Project1 and reference the connection in each application.
D) Create a custom HTTP connection in Foundry and manually configure Azure AI Search endpoints per application.

3. You have a Microsoft Foundry project that contains an agent. The agent uses Azure Al Search as the retriever.
You plan to ingest PDFs into an Azure Al Search index to ensure that the agent can ground responses in texts in both documents and embedded images.
Users require citations that link to the source files.
You need to ensure that during indexing, the images are extracted into a structure that can be used as input for the built-in optical character recognition (OCR) skill.
Which indexing approach should you use?

A) the outputFieldMappings parameter to write image data to a searchable field
B) a skillset to run the OCR skill directly against the content field of the index
C) a Shaper skill to restructure the OCR input
D) an indexer to extract image data into a normalized_images collection

4. You need to configure Agent1 to answer customer questions about only the Contoso products. The solution must meet the business requirements.
What should you do?

A) Modify the system message instructions.
B) Increase the value of the temperature parameter.
C) Add few-shot examples.
D) Apply top-p sampling.

5. You have an application named App1 that uses Azure Speech in Foundry Tools to transcribe live calls.
Transcript segments often contain both English and Spanish. App1 sends each segment to Azure Translator in Foundry Tools to translate to another language.
Sometimes, mixed-language segments result in incomplete or incorrect translations.
You need to reduce translation errors. The solution must ensure that the entire transcript is translated successfully.
What should you do before sending the segments to Translator?

A) Use document translation to translate the entire transcript as a single document.
B) Enable automatic language detection for the translation request.
C) Split the mixed-language segments into single-language segments and translate each segment separately.
D) Specify English as the source language in the translation request for all the segments.

Solutions: