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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #260

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #260: Real Exam Question with Answer & Explanation

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Submitted by hans_de· Apr 18, 2026Data processing and feature engineering

Question

You are developing an ML model to identify your company's products in images. You have access to over one million images in a Cloud Storage bucket. You plan to experiment with different TensorFlow models by using Vertex AI Training. You need to read images at scale during training while minimizing data I/O bottlenecks. What should you do?

Options

  • ALoad the images directly into the Vertex AI compute nodes by using Cloud Storage FUSE. Read
  • BCreate a Vertex AI managed dataset from your image data. Access the
  • CConvert the images to TFRecords and store them in a Cloud Storage bucket. Read the
  • DStore the URLs of the images in a CSV file. Read the file by using the

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Topics

#TFRecords#Data I/O optimization#TensorFlow data pipelines#Cloud Storage
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