Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 211

Question

You need to develop a custom TensorFlow 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?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Create an Apache Beam pipeline to read the data from BigQuery and preprocess it by using TensorFlow Transform and Dataflow. BigQuery is a serverless, petabyte-scale data warehouse for fast SQL analytics with no infrastructure to manage. Dataflow runs serverless Apache Beam pipelines for stream and batch data processing with autoscaling.

Google Cloud Professional Machine Learning Engineer PMLE — Question 211