Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 231

Question

You are using Keras and TensorFlow to develop a fraud detection model. Records of customer transactions are stored in a large table in BigQuery. You need to preprocess these records in a cost-effective and efficient way before you use them to train the model. The trained model will be used to perform batch inference in BigQuery. How should you implement the preprocessing workflow?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Perform preprocessing in BigQuery by using SQL. Use the BigQueryClient in TensorFlow to read the data directly from BigQuery. BigQuery is a serverless, petabyte-scale data warehouse for fast SQL analytics with no infrastructure to manage. This option delivers the requirement at the lowest cost.

Google Cloud Professional Machine Learning Engineer PMLE — Question 231