Null rates on forage-plot moisture and impossible negative weights should fail the nightly job before a training dataset is published. Which official lake-scale validator can block that publish?
Select an answer to reveal the explanation.
Short Explanation
Think of null moisture and impossible negative weights that should fail the nightly job. AWS Glue Data Quality rulesets as a pipeline gate. Do not publish and let the trainer find the mess.
Full Explanation
AWS Glue Data Quality validates lake-scale data with rulesets that can block bad publishes. Shipping dirty rows, Rekognition, and a laptop glance are not that gate.