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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #94

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #94: Real Exam Question with Answer & Explanation

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Submitted by rachelw· Apr 18, 2026ML pipeline operationalization

Question

You need to design an architecture that serves asynchronous predictions to determine whether a particular mission-critical machine part will fail. Your system collects data from multiple sensors from the machine. You want to build a model that will predict a failure in the next N minutes, given the average of each sensor's data from the past 12 hours. How should you design the architecture?

Options

  • A1. HTTP requests are sent by the sensors to your ML model, which is deployed as a microservice
  • B1. Events are sent by the sensors to Pub/Sub, consumed in real time, and processed by a
  • C1. Export your data to Cloud Storage using Dataflow.
  • D1. Export the data to Cloud Storage using the BigQuery command-line tool

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Topics

#Real-time ML#Streaming Architecture#Event Ingestion#Predictive Maintenance
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