Regarding Mlops deployment

i created model on static data i want to apply MLOPS ,So how it can be scalable ?

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When your data changes with time you might need to change the model or retraining it, basically MLOPs means going through the process you went through the first time again (almost the same process).

Means when we create a ML pipeline it is continues journey little change can cause re-training of the model.