PL-300 - Prepare the Data - Section 1.3
Profile and examine data to assess quality, structure, and distribution.
Interpret column quality, column distribution, and column profile statistics to locate errors, nulls, and data anomalies before loading. Distinguish between removing, replacing, or keeping null values based on the downstream impact on measures and relationships.
column qualitycolumn distributioncolumn profileerror and null handlingdata anomalies
More in this domain
Back to all Prepare the Data objectives, or the PL-300 cert hub.
Examworthy is not affiliated with or endorsed by Microsoft. Original, blueprint-aligned practice material only.