PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #243
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #243: Real Exam Question with Answer & Explanation
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Question
You need to use TensorFlow to train an image classification model. Your dataset is located in a Cloud Storage directory and contains millions of labeled images. Before training the model, you need to prepare the data. You want the data preprocessing and model training workflow to be as efficient, scalable, and low maintenance as possible. What should you do?
Options
- A1. Create a Dataflow job that creates sharded TFRecord files in a Cloud Storage directory.
- B1. Create a Dataflow job that moves the images into multiple Cloud Storage directories, where
- C1. Create a Jupyter notebook that uses an nt-standard-64 V100 GPU Vertex AI Workbench
- D1. Create a Jupyter notebook that uses an n1-standard-64, V100 GPU Vertex AI Workbench
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