Google Professional Machine Learning Engineer Exam - Topic 9 Question 43 Discussion

Question

Google Professional Machine Learning Engineer Exam - Topic 9 Question 43 Discussion

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?

A) * 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

B) * 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

C) * 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.

Accepted Answer

D) * Send incoming prediction requests to a Pub/Sub topic * Set up a Cloud Function that is triggered when messages are published to the Pub/Sub topic. * Implement your preprocessing logic in the Cloud Function * Submit a prediction request to Al Platform using the transformed data * Write the predictions to an outbound Pub/Sub queue

Google Professional Machine Learning Engineer Exam - Topic 9 Question 43 Discussion

Google Professional Machine Learning Engineer Exam - Topic 9 Question 43 Discussion

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