Google Exam Professional Machine Learning Engineer Topic 4 Question 67 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam

Question #: 67
Topic #: 4

[All Professional Machine Learning Engineer Questions]

You work for a company that manages a ticketing platform for a large chain of cinemas. Customers use a mobile app to search for movies they're interested in and purchase tickets in the app. Ticket purchase requests are sent to Pub/Sub and are processed with a Dataflow streaming pipeline configured to conduct the following steps:

1. Check for availability of the movie tickets at the selected cinema.

2. Assign the ticket price and accept payment.

3. Reserve the tickets at the selected cinema.

4. Send successful purchases to your database.

Each step in this process has low latency requirements (less than 50milliseconds). You have developed a logistic regression model with BigQuery ML that predicts whether offering a promo code for free popcorn increases the chance of a ticket purchase, and this prediction should be added to the ticket purchase process. You want to identify the simplest way to deploy this model to production while adding minimal latency. What should you do?

ARun batch inference with BigQuery ML every five minutes on each new set of tickets issued.

BExport your model in TensorFlow format, and add a tfx_bsl.public.beam.RunInference step to the Dataflow pipeline.

CExport your model in TensorFlow format, deploy it on Vertex AI, and query the prediction endpoint from your streaming pipeline.

DConvert your model with TensorFlow Lite (TFLite), and add it to the mobile app so that the promo code and the incoming request arrive together in Pub/Sub.

Show Suggested Answer

Suggested Answer: A

by Arlene at Nov 25, 2023, 02:02 AM

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Celestine

8 months ago

Ooh, Merlyn, that's a clever idea! Putting the model in the mobile app is a really elegant solution. It ticks all the boxes - low latency, simplicity, and it avoids any external dependencies. I'm starting to like that option the most.

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8 months ago

Yeah, the more I think about it, option D does seem like the way to go. Having the promo code prediction happen right in the app is just so clean and efficient. Plus, it'll give our users a really seamless experience. I'm sold!

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