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Exam Professional-Machine-Learning-Engineer All Questions
Exam Professional-Machine-Learning-Engineer All Questions

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Google Machine Learning Engineer Professional-Machine-Learning-Engineer Question # 14 Topic 2 Discussion

Professional-Machine-Learning-Engineer Exam Topic 2 Question 14 Discussion:
Question #: 14
Topic #: 2

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.


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


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