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PROFESSIONAL-DATA-ENGINEER · Question #268
A TensorFlow machine learning model on Compute Engine virtual machines (n2-standard -32) takes two days to complete framing. The model has custom TensorFlow operations that must run partially on a CPU
The correct answer is A. Use Cloud Composer to subscribe to a Pub/Sub tope and can the Python API.. Explanation/Reference: Explanation/Reference: https://cloud.google.com/functions/docs/calling/pubsub#deployment
Submitted by carlos_mx· Mar 30, 2026Operationalizing machine learning models
Question
A TensorFlow machine learning model on Compute Engine virtual machines (n2-standard -32) takes two days to complete framing. The model has custom TensorFlow operations that must run partially on a CPU You want to reduce the training time in a cost-effective manner. What should you do?
Options
- AUse Cloud Composer to subscribe to a Pub/Sub tope and can the Python API.
- BUse a Pub/Sub push subscription to trigger a Cloud Function to pass the data to tie Python API.
- CWrite an application that makes a queue in a NoSQL database
- DWrite an application hosted on a Compute Engine instance that makes a push subscription to the Pub/Sub topic
How the community answered
(58 responses)- A71% (41)
- B9% (5)
- C17% (10)
- D3% (2)
Explanation
Explanation/Reference: Explanation/Reference: https://cloud.google.com/functions/docs/calling/pubsub#deployment
Topics
#TensorFlow#custom ops#CPU training#compute optimization
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