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Data pipelines and data quality
MLOps Engineer
Data pipelines and data quality questions
13 questions on Data pipelines and data quality for mlops engineers, easiest first.
Easy
7
Bad data reached training
easy
Missing values jump overnight
easy
A new category appears
easy
Features from three days ago
easy
Half the rows went missing
easy
Agreeing on input data
easy
Counts doubled after a retry fix
easy
Medium
3
Silent wrong predictions from bad input
medium
Amount sent in paise
medium
Inputs far outside training range
medium
Hard
3
Daily batch missing late events
hard
How long a feature backfill takes
hard
Timeouts turned into zeros
hard
