Google Cloud Professional Machine Learning Engineer — Question 62

While monitoring your model training’s GPU utilization, you discover that you have a native synchronous implementation. The training data is split into multiple files. You want to reduce the execution time of your input pipeline. What should you do?

Answer options

• A. Increase the CPU load
• B. Add caching to the pipeline
• C. Increase the network bandwidth
• D. Add parallel interleave to the pipeline

Correct answer: D

Explanation

The correct answer is D because adding parallel interleave allows simultaneous processing of input data, which can significantly speed up the input pipeline. Options A, B, and C do not directly address the execution time of the input pipeline in the context of utilizing multiple files effectively.