Microsoft Fabric Data Engineer Associate DP-700 Practice Question

A Fabric solution ingests telemetry from IoT devices at a sustained rate of 250 000 events per second. You use an Eventstream to land the data into a Fabric Eventhouse table that analysts query with T-SQL. During peak traffic, analysts report slow query response times even after data has fully landed. Investigation shows that events often arrive several minutes late, causing multiple small, temporally-overlapping segments to be created in the table.

You need to improve both data-write and query performance while keeping compute consumption as low as possible.

Which change should you implement first?

  • Create a materialized view on the Eventhouse table that pre-aggregates the most common queries.

  • Scale the SQL analytics endpoint of the workspace to a higher capacity tier during peak hours.

  • Increase the number of physical partitions in the Eventhouse to match the number of IoT devices.

  • Enable the Optimize for out-of-order data feature on the destination Eventhouse table.

Microsoft Fabric Data Engineer Associate DP-700
Monitor and optimize an analytics solution
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