Question 1 of 30
In a scenario where a company is looking to leverage Azure AI services for predictive analytics, they are considering the integration of Azure Machine Learning with their existing data pipelines. They want to ensure that their model can adapt to new data trends over time. Which approach would best facilitate continuous learning and model improvement in this context?
Implementing a retraining pipeline that automatically updates the model with new data at regular intervals.
Using a static model that is trained once and deployed without updates.
Relying solely on manual updates to the model whenever new data is available.
Creating a model that only learns from historical data without considering real-time inputs.

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