A predictive model has been built and deployed in Einstein Studio.

Once a predictive model is activated in AI Models, formerly Einstein Studio, Salesforce provides supported inference channels for operational use. Predict jobs can run in batch or streaming mode and write prediction outputs to a Data Model Object, where downstream Salesforce processes can consume them. Salesforce also surfaces activated predictive models as actions in Flow Builder so predictions can drive decisions and automation directly in business workflows. That combination is exactly what option D describes. Manually exporting and re-importing CSV files adds latency and unnecessary data movement. Identity Resolution is for linking and reconciling profile records, not for invoking predictive models. Embedding an AI Models URL in a Lightning component likewise does not constitute a supported prediction-inference pattern. Therefore, predict jobs or Flow Builder are the standard operationalization methods.

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