CERTIFIED-MACHINE-LEARNING-PROFESSIONAL · Question #21
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 q
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Question
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?
Options
- 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
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