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Google Machine Learning Engineer Professional-Machine-Learning-Engineer Question # 30 Topic 4 Discussion

Professional-Machine-Learning-Engineer Exam Topic 4 Question 30 Discussion:
Question #: 30
Topic #: 4

You need to develop a custom TensorRow model that will be used for online predictions. The training data is stored in BigQuery. You need to apply instance-level data transformations to the data for model training and serving. You want to use the same preprocessing routine during model training and serving. How should you configure the preprocessing routine?
A.

Create a BigQuery script to preprocess the data, and write the result to another BigQuery table.

B.

Create a pipeline in Vertex Al Pipelines to read the data from BigQuery and preprocess it using a custom preprocessing component.

C.

Create a preprocessing function that reads and transforms the data from BigQuery Create a Vertex Al custom prediction routine that calls the preprocessing function at serving time.

D.

Create an Apache Beam pipeline to read the data from BigQuery and preprocess it by using TensorFlow Transform and Dataflow.

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Actual exam question for Google Professional-Machine-Learning-Engineer exam by Hale61420 at May 4, 2026, 4:27:08 AM

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