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MLA-C01 · Question #157
MLA-C01 Question #157: Real Exam Question with Answer & Explanation
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ML Solution Monitoring, Maintenance, and Security
Question
An ML model is deployed in production. The model has performed well and has met its metric thresholds for months. An ML engineer who is monitoring the model observes a sudden degradation. The performance metrics of the model are now below the thresholds. What could be the cause of the performance degradation?
Options
- ALack of training data
- BDrift in production data distribution
- CCompute resource constraints
- DModel overfitting
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Topics
#Model monitoring#Data drift#Production model issues#Performance degradation