PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #224
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #224: Real Exam Question with Answer & Explanation
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Question
You are building a TensorFlow text-to-image generative model by using a dataset that contains billions of images with their respective captions. You want to create a low maintenance, automated workflow that reads the data from a Cloud Storage bucket collects statistics, splits the dataset into training/validation/test datasets performs data transformations trains the model using the training/validation datasets, and validates the model by using the test dataset. What should you do?
Options
- AUse the Apache Airflow SDK to create multiple operators that use Dataflow and Vertex AI
- BUse the MLFlow SDK and deploy it on a Google Kubernetes Engine cluster. Create multiple
- CUse the Kubeflow Pipelines (KFP) SDK to create multiple components that use Dataflow and
- DUse the TensorFlow Extended (TFX) SDK to create multiple components that use Dataflow and
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