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A stock broking company makes use of CloudHub VPC to deploy Mule applications. Mule application needs to connect to a database application in the customers on-premises corporate data center and also to a Kafka cluster running in AWS VPC. How is access enabled for the API to connect to the database application and Kafka cluster securely?
Correct Answer: B
* Requirement Analysis: The Mule application needs secure access to both an on-premises database and a Kafka cluster in AWS VPC. * Solution: Setting up Anypoint VPN for the on-premises corporate data center and VPC peering with AWS VPC ensures secure and seamless connectivity. * Implementation Steps: * Anypoint VPN Setup: * In the Anypoint Platform, navigate to the VPN configuration. * Create a new VPN connection between the CloudHub VPC and the on-premises corporate data center. * Configure the necessary VPN parameters such as IP address, shared secret, and routing information. * Establish the VPN tunnel and verify connectivity. * VPC Peering Setup: * In the AWS Management Console, navigate to the VPC dashboard. * Create a VPC peering connection between the AWS VPC (where Kafka is hosted) and the CloudHub VPC. * Configure the necessary route tables to allow traffic between the peered VPCs. * Verify the peering connection and ensure that the routing is correctly set up to allow communication between the Mule application and the Kafka cluster. * Testing: Conduct thorough testing to ensure the Mule application can securely connect to both the on-premises database and the Kafka cluster in AWS. * Advantages: * Security: Ensures secure communication channels between CloudHub VPC, on-premises data center, and AWS VPC. * Reliability: Provides a robust and reliable network setup for accessing critical infrastructure components. References * MuleSoft Documentation on Anypoint VPN * AWS Documentation on VPC Peering