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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
You need to improve response completeness. The solution must be implemented in the logic of the application code before responses are returned.
What should you do?

A) Switch to Retrieval Augmented Generation (RAG).
B) Enable response streaming.
C) Decrease the value of the temperature parameter.
D) Add a reflection pass before the responses are returned.

2. Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content.
You need to improve response completeness.
Solution: You increase the value of the temperature parameter.
Does this meet the goal?

A) No
B) Yes

3. You need to configure Agent1 to meet the security and compliance requirements.
What should you use?

A) self-harm content filtering
B) violence content filtering
C) Personally Identifiable Information (PII) Detection
D) prompt shields

4. 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.

5. You have an app named App1 that uses a Microsoft Foundry multimodal model deployment.
App1 runs optical character recognition (OCR) on uploaded images and appends the OCR output to the prompt as additional context.
Some uploaded images contain embedded text.
You need to prevent potentially malicious instructions from being processed by the model.
What should you use?

A) image moderation
B) prompt shields for documents
C) protected material text
D) prompt shields for user prompts

Solutions: