Câu 10: Databricks Certified Machine Learning Professional

A machine learning engineer needs to deliver predictions of a machine learning model in real-time. However, the feature values needed for computing the predictions are available one week before the query time. Which of the following is a benefit of using a batch serving deployment in this scenario rather than a real-time serving deployment where predictions are computed at query time?

1. A. Batch serving has built-in capabilities in Databricks Machine Learning
2. B. There is no advantage to using batch serving deployments over real-time serving deployments
3. C. Computing predictions in real-time provides more up-to-date results
4. D. Testing is not possible in real-time serving deployments
5. E. Querying stored predictions can be faster than computing predictions in real-time — đáp án hiện tại