Exam Databricks-Machine-Learning-Associate Topic 1 Question 50 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Associate exam
Question #: 50
Topic #: 1

A data scientist has produced three new models for a single machine learning problem. In the past, the solution used just one model. All four models have nearly the same prediction latency, but a machine learning engineer suggests that the new solution will be less time efficient during inference.
In which situation will the machine learning engineer be correct?

A. When the new solution requires if-else logic determining which model to use to compute each prediction B. When the new solution's models have an average latency that is larger than the size of the original model C. When the new solution requires the use of fewer feature variables than the original model D. When the new solution requires that each model computes a prediction for every record E. When the new solution's models have an average size that is larger than the size of the original model

Suggested Answer: D Vote an answer

If the new solution requires that each of the three models computes a prediction for every record, the time efficiency during inference will be reduced. This is because the inference process now involves running multiple models instead of a single model, thereby increasing the overall computation time for each record.
In scenarios where inference must be done by multiple models for each record, the latency accumulates, making the process less time efficient compared to using a single model.
Reference:
Model Ensemble Techniques

by Luther at Nov 22, 2025, 09:43 AM

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