PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #325
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #325: Real Exam Question with Answer & Explanation
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Question
You are training a large-scale deep learning model on a Cloud TPU. While monitoring the training progress through Tensorboard, you observe that the TPU utilization is consistently low and there are delays between the completion of one training step and the start of the next step. You want to improve TPU utilization and overall training performance. How should you address this issue?
Options
- AApply tf.data.Detaset.map with vectorized operations and parallelization.
- BUse tf.data.Detaset.interleave with multiple data sources.
- CUse on the dataset after the first epoch.
- DImplement tf.data.Detaset.prefetch in the data pipeline.
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