Answer-first summary for fast verification
Answer: DatasetDriftDetected
The correct answer is C (DatasetDriftDetected) because the scenario describes model performance degradation due to input data changes, which directly corresponds to dataset drift. Azure Machine Learning's Event Grid can trigger events when dataset drift is detected, making it appropriate for initiating a remediation pipeline to retrain or update the model. The community discussion shows 100% consensus on option C, with references to Microsoft documentation confirming that DatasetDriftDetected is the event type for this scenario. Other options are less suitable: RunStatusChanged and RunCompleted relate to training run states, not data drift, and ModelDeployed pertains to deployment completion, not performance issues from data changes.
Author: LeetQuiz Editorial Team
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You are using Azure Machine Learning to monitor a trained and deployed model and have implemented Event Grid to respond to its events. Due to model input data changes, the model's performance has degraded.
You need to trigger a remediation ML pipeline based on an Azure Machine Learning event.
Which event should you use?
A
RunStatusChanged
B
RunCompleted
C
DatasetDriftDetected
D
ModelDeployed
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