You have trained a model on a dataset that required computationally expensive preprocessing operations.

Google Professional-Machine-Learning-Engineer Question Answer

You have trained a model on a dataset that required computationally expensive preprocessing operations. You need to execute the same preprocessing at prediction time. You deployed the model on Al Platform for high-throughput online prediction. Which architecture should you use?

• Validate the accuracy of the model that you trained on preprocessed data

• Create a new model that uses the raw data and is available in real time

• Deploy the new model onto Al Platform for online prediction

• Send incoming prediction requests to a Pub/Sub topic

• Transform the incoming data using a Dataflow job

• Submit a prediction request to Al Platform using the transformed data

• Write the predictions to an outbound Pub/Sub queue

• Stream incoming prediction request data into Cloud Spanner

• Create a view to abstract your preprocessing logic.

• Query the view every second for new records

• Submit a prediction request to Al Platform using the transformed data

• Write the predictions to an outbound Pub/Sub queue.