Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 232

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?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: 1. Create a Dataflow job that creates sharded TFRecord files in a Cloud Storage directory.2. Reference tf.data.TFRecordDataset in the training script.3. Train the model by using Vertex AI Training with a V100 GPU. Cloud Storage provides durable, scalable object storage that is fully managed. Dataflow runs serverless Apache Beam pipelines for stream and batch data processing with autoscaling. Vertex AI is the unified managed platform to build, train, tune, deploy, and operate ML models.

Google Cloud Professional Machine Learning Engineer PMLE — Question 232