Microsoft · DP-700
Streaming data
DP-700 · Lesson 8 of 11 · 45:12
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In this lesson
Prepare for the DP-700 exam (Microsoft Certified: Fabric Data Engineer Associate). In this lesson: choosing a streaming engine (Eventstream, Spark Structured Streaming, KQL in an eventhouse), eventstream sources, transformations, and destinations, native tables versus OneLake shortcuts and query acceleration, and windowing functions: tumbling, hopping, sliding, session, and snapshot. Includes three original practice questions.
Preview the topics
- Producers already send events with Kafka clients, and the team wants to route them into Fabric without writing code, with only a connection string change. Which engine fits?
- An eventhouse uses a shortcut to Delta tables in OneLake, and any query over the last seven days is too slow, but the team wants to avoid copying the data. What should it enable?
- A dashboard needs the average temperature for every five-minute period, with each reading counted in exactly one period. Which window fits?