Google Cloud Professional Machine Learning Engineer — Question 165

You need to develop an image classification model by using a large dataset that contains labeled images in a Cloud Storage bucket. What should you do?

Answer options

• 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.

Correct answer: C

Explanation

The correct answer is C because importing the labeled images as a managed dataset in Vertex AI allows for efficient training using AutoML, which is specifically designed for such tasks. Options A and B involve using pipelines that are more complex and may not be necessary for straightforward image classification. Option D suggests an unnecessary conversion process that complicates the workflow, while the goal is to directly train the model with labeled images.