Microsoft
DP-700 · Question #33
You have a KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format: Column name Data type Timestamp Datetime Geolocation Dynamic Temper
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Monitor and optimize a data analytics solution
Question
You have a KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format:
Column name Data type
Timestamp Datetime
Geolocation Dynamic
Temperature Decimal
DeviceId Int
Reference contains reference data in the following format.
Column name Data type
DeviceId Int
DeviceName String
Both tables contain millions of rows.
You have the following KQL queryset.
01 stream
02 | extend lat = todecimal(geolocation.Latitude), long = todecimal(geolocation.Longitude)
03 | join kind=inner Reference on DeviceId
04 | project Timestamp, lat, long, Temperature, DeviceName
05 | filter Temperature >= 10
06 | render scatterchart with (kind = map)
You need to reduce how long it takes to run the KQL queryset.
Solution: You change project to extend.
Does this meet the goal?
Options
- AYes
- BNo
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Topics
#KQL optimization#Query performance#Project operator#Extend operator