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PROFESSIONAL-DATA-ENGINEER · Question #2
You are building a model to make clothing recommendations. You know a user's fashion pis likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes ava
The correct answer is B. Continuously retrain the model on a combination of existing data and the new data.. Explanation/Reference: We have to use a combination of old and new test data as well as training data.
Submitted by fatima_kr· Mar 30, 2026Operationalizing machine learning models
Question
You are building a model to make clothing recommendations. You know a user's fashion pis likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model?
Options
- AContinuously retrain the model on just the new data.
- BContinuously retrain the model on a combination of existing data and the new data.
- CTrain on the existing data while using the new data as your test set.
- DTrain on the new data while using the existing data as your test set.
How the community answered
(33 responses)- A3% (1)
- B82% (27)
- C3% (1)
- D12% (4)
Explanation
Explanation/Reference: We have to use a combination of old and new test data as well as training data.
Topics
#continuous retraining#streaming training data#model drift#online learning
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