An organization is designing Mule application which connects to a legacy backend. It has been reported that backend services are not highly available and experience downtime quite often. As an integration architect which of the below approach you would propose to achieve high reliability goals?
A leading e-commerce giant will use Mulesoft API's on runtime fabric (RTF) to process customer orders. Some customer's sensitive information such as credit card information is also there as a part of a API payload.
What approach minimizes the risk of matching sensitive data to the original and can convert back to the original value whenever and wherever required?
A Mule application is being designed for deployment to a single CloudHub worker. The Mule application will have a flow that connects to a SaaS system to perform some operations each time the flow is invoked.
The SaaS system connector has operations that can be configured to request a short-lived token (fifteen minutes) that can be reused for subsequent connections within the fifteen minute time window. After the token expires, a new token must be requested and stored.
What is the most performant and idiomatic (used for its intended purpose) Anypoint Platform component or service to use to support persisting and reusing tokens in the Mule application to help speed up reconnecting the Mule application to the SaaS application?
An organization is creating a Mule application that will be deployed to CloudHub. The Mule application has a property named dbPassword that stores a database user’s password.
The organization's security standards indicate that the dbPassword property must be hidden from every Anypoint Platform user after the value is set in the Runtime Manager Properties tab.
What configuration in the Mule application helps hide the dbPassword property value in Runtime Manager?
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