A municipal valve-flush log is full of duplicated dates and swapped street names. Staff want to fine-tune or index it anyway. What should happen first?
Select an answer to reveal the explanation.
Short Explanation
Think of a valve-flush log full of duplicated dates and swapped street names. Run a quality pass before it becomes an AI input. Do not throw the dirty log at the model first.
Full Explanation
Secure data engineering starts with assessing data quality, not with throwing the pile at the model. Duplicated dates and swapped names need a quality pass first. Temperature and a dashboard do not replace that pass.