dp-100-data-scientist-assoc video for scenario: Damage Control (DC), a construction and repair company, has been contracted by S.H.I.E.L.D. to assist with
Scenario: Damage Control (DC), a construction and repair company, has been contracted by S.H.I.E.L.D. to assist with clean-up and restoration after super-villain attacks on New York City. The company is led by CEO Mac Porter. Mac is currently working on a project configuring online deployments for both an existing model and a new model . To achieve this, he plans to use the ManagedOnlineEndpoint class from the Azure Machine Learning Python SDK v2 to duplicate a percentage of invocations across both models . Seeking guidance, Mac turns to you for advice on the appropriate parameter to use . Question: Which parameter should Mac configure to correctly manage invocation duplication between the models?