Sending bulk data to Azure ML Endpoint

I have an Azure ML endpoint which is used to get scoring when I supply data in json.

import requests
import json

# URL for the web service
scoring_uri = 'http://107a119d-9c23-4792-b5db-065e9d3af1e6.eastus.azurecontainer.io/score'  

# If the service is authenticated, set the key or token
key = '##########################'


data = {"data":
           [{'Associate_Gender': 'Male', 'Associate_Age': 20, 'Education': 'Under Graduate', 'Source_Hiring': 'Internal Movement', 'Count_of_Incoming_Calls_6_month': None, 'Count_of_Incoming_Calls_6_month_bucket': 'Greater than equal to 0 and less than 4', 'Internal_Quality_IQ_Score_Last_6_Months': '93%', 'Internal_Quality_IQ_Score_Last_6_Months_Bucket': 'Greater than 75%', 'Associate_Tenure_Floor_Bucket': 'Greater than 0 and less than 90', 'Current_Call_Repeat_Yes_No': False, 'Historical_CSAT_score': 'Greater than equal to 7 and less than 9', 'Customer_Age': 54, 'Customer_Age_Bucket': 'Greater than equal to 46', 'Network_Region_Originating_Call': 'East London', 'Length_of_Relationship_with_Customer': 266, 'Length_of_Relationship_with_Customer_bucket': 'Greater than 90', 'Call_Reason_Type_L1': 'Voice', 'Call_Reason_Type_L2': 'Prepaid', 'Call_Reason_Type_L3': 'Request for Reversal Provisioning', 'Number_of_VAS_services_active': 6, 'Customer_Category': 'Mercury', 'Customer_monthly_ARPU_GBP_Bucket': 'More than 30', 'Customer_Location': 'Houslow'}]
                        }
# Convert to JSON string
input_data = json.dumps(data)

# Set the content type
headers = {'Content-Type': 'application/json'}
# If authentication is enabled, set the authorization header
headers['Authorization'] = f'Bearer {key}'

# Make the request and display the response
resp = requests.post(scoring_uri, input_data, headers=headers)
print(resp.text)  

How to send input data from files in bulk and get output. Or is it not feasible to send huge amount of data for scoring on endpoints?
Any alternative suggestion for scoring on azure is also welcome.

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