Microsoft Fabric Data Engineer Associate DP-700 Practice Question

Your team needs to ingest telemetry from thousands of manufacturing devices that publish JSON events every second. You must archive the raw events in OneLake, route them into a Real-Time Analytics database, and create a Power BI report that refreshes with sub-second latency. The solution should be implemented by data engineers through a visual, no-code experience without writing PySpark or KQL. Which Microsoft Fabric streaming engine should you recommend?

  • KQL streaming ingestion in a Real-Time Analytics database

  • Spark Structured Streaming in a Fabric notebook

  • Eventstream

  • A custom Kafka consumer running on an Azure Kubernetes Service (AKS) cluster

Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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.

Bash, the Crucial Exams Chat Bot
AI Bot