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In a serverless application with numerous AWS Lambda functions connecting to an Amazon Aurora PostgreSQL database, how can a developer reduce the number of database connections made during Lambda function scaling without affecting scalability?
A
Set ProvisionedConcurrentExecutions for Lambda functions.
B
Implement cluster cache management for Aurora PostgreSQL and update Lambda connection strings.
C
Utilize Amazon RDS Proxy for connection pooling and update Lambda connection strings accordingly.
D
Set ReservedConcurrentExecutions for Lambda functions.
