Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You are developing a new prompt flow in an Azure AI Foundry project. The flow must let GPT-35-Turbo answer user questions by grounding the model with several thousand PDF research papers that are stored in an Azure Storage container. According to the recommended RAG pattern in Foundry, what should you do before adding a retrieval step to the flow so that the model can be grounded in the papers?

  • Create a vector index in Azure AI Search that contains text chunks and their embeddings for every PDF.

  • Upload the PDFs to the project's data assets and reference the asset path in the retrieval step.

  • Add an Azure AI Content Safety policy to the prompt flow and enable on-the-fly file parsing.

  • Configure the GPT-35-Turbo deployment with a higher temperature and a system message instructing it to cite the papers.

Microsoft Azure AI Engineer Associate AI-102
Implement generative AI solutions
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Wipe Score
Bash, the Crucial Exams Chat Bot
AI Bot