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Google Professional Data Engineer Actual Exam Questions

307 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 117 of 307

Single answer
You are an ML engineer at a mobile gaming company. A data scientist on your team recently trained a TensorFlow model, and you are responsible for deploying this model into a mobile application. You discover that the inference latency of the current model doesn’t meet production requirements. You need to reduce the inference time by 50%, and you are willing to accept a small decrease in model accuracy in order to reach the latency requirement. Without training a new model, which model optimization technique for reducing latency should you try first?
AWeight pruning
BDynamic range quantization
CModel distillation
DDimensionality reduction
Correct Answer: B

Dynamic range quantization

Explanation

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