Google Professional Machine Learning Engineer
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You are tasked with developing an image classification model using a large dataset of labeled images stored in a Cloud Storage bucket. This process involves reading the images, training the model, and possibly utilizing managed datasets or pipelines to streamline the workflow. Given these requirements, what should you do?
A
Use Vertex AI Pipelines with the Kubeflow Pipelines SDK to create a pipeline that reads the images from Cloud Storage and trains the model.
B
Use Vertex AI Pipelines with TensorFlow Extended (TFX) to create a pipeline that reads the images from Cloud Storage and trains the model.
C
Import the labeled images as a managed dataset in Vertex AI and use AutoML to train the model.
D
Convert the image dataset to a tabular format using Dataflow, load the data into BigQuery, and use BigQuery ML to train the model.