Question 28 of 280
Choose 2You are training a Resnet model on AI Platform using TPUs to visually categorize types of defects in automobile
engines. You capture the training profile using the
Cloud TPU profiler plugin and observe that it is highly input-bound. You want to reduce the bottleneck and speed
up your model training process. Which modifications should you make to the tf.data dataset? (Choose two.)
✓AUse the interleave option for reading data.
BReduce the value of the repeat parameter.
CIncrease the buffer size for the shuttle option.
✓DSet the prefetch option equal to the training batch size.
EDecrease the batch size argument in your transformation.
✓
Correct Answer: A, D
Use the interleave option for reading data.
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Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of Google certification topics.