Databricks Exam Databricks-Machine-Learning-Professional Topic 1 Question 4 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam

Question #: 4
Topic #: 1

[All Databricks-Machine-Learning-Professional Questions]

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?

ABatch serving has built-in capabilities in Databricks Machine Learning

BThere is no advantage to using batch serving deployments over real-time serving deployments

CComputing predictions in real-time provides more up-to-date results

DTesting is not possible in real-time serving deployments

EQuerying stored predictions can be faster than computing predictions in real-time

Show Suggested Answer

Suggested Answer: A

by Nan at Dec 12, 2023, 03:41 AM

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