Practice exams for Azure AI Apps and Agents Developer Associate

50 questions ยท 120 min

  • Implement generative AI and agentic solutions 17 questions
  • Plan and manage an Azure AI solution 15 questions
  • Implement computer vision solutions 6 questions
  • Implement text analysis solutions 6 questions
  • Implement information extraction solutions 6 questions

25 free questions across all domains, no account required.

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How to prepare for Azure AI Apps and Agents Developer Associate with InfraPrep

The 50 questions cover 5 domains: Implement generative AI and agentic solutions, Plan and manage an Azure AI solution, Implement computer vision solutions, Implement text analysis solutions, Implement information extraction solutions. 25 of them are free, without an account.

Study mode

Answer at your pace: each answer is corrected straight away, with an explanation and the link to the documentation it relies on.

Exam mode

A timed exam of 120 minutes, with a question map to flag and come back to questions before you submit.

Results by domain

Your score is broken down by domain, so you know what to review first.

Original questions

Every question is written from the public documentation, never copied from the exam. You can contest an answer from study mode.

Sample question

Plan and manage an Azure AI solution

A retailer is building a shopping assistant with Foundry Agent Service. Returning customers complain that they must repeat their clothing sizes and preferred brands every time they open a new session. Which capability should the developer add so the agent keeps this user-specific context from one session to the next?

  1. The code interpreter tool with a stored preferences script
  2. A Foundry IQ knowledge base built from the product catalog
  3. The file search tool pointed at uploaded customer documents
  4. Memory in Foundry Agent Service attached to the agent
Show the answer and the explanation

Correct answer: D

The documentation positions memory as the capability for user-specific context that is learned and persists through interactions over time, across sessions.

Source: official documentation

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