PMI
CPMAI · Question #65
Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation…
The correct answer is B. They did not practice model versioning and keep all versions of the model. You've hit your limit · resets 12:50am (America/New_York)
Monitor and Control AI Project Performance
Question
Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model. What critical error did your team make?
Options
- AThey did not have data governance in place
- BThey did not practice model versioning and keep all versions of the model
- CThey did not have a model retraining pipeline that took into account models
- DThey did not practice model iteration and properly iterate on the model
How the community answered
(54 responses)- A6% (3)
- B80% (43)
- C11% (6)
- D4% (2)
Explanation
You've hit your limit · resets 12:50am (America/New_York)
Topics
#model versioning#MLOps#model management#NLP
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