Absolute Free MuleSoft-Integration-Architect-I Exam Practice for Comprehensive Preparation 

An external REST client periodically sends an array of records in a single POST request to a Mule application API endpoint. The Mule application must validate each record of the request against a JSON schema before sending it to a downstream system in the same order that it was received in the array Record processing will take place inside a router or scope that calls a child flow. The child flow has its own error handling defined. Any validation or communication failures should not prevent further processing of the remaining records. To best address these requirements what is the most idiomatic(used for it intended purpose) router or scope to used in the parent flow, and what type of error handler should be used in the child flow?

An external web UI application currently accepts occasional HTTP requests from client web browsers to change (insert, update, or delete) inventory pricing information in an inventory system's database. Each inventory pricing change must be transformed and then synchronized with multiple customer experience systems in near real-time (in under 10 seconds). New customer experience systems are expected to be added in the future. The database is used heavily and limits the number of SELECT queries that can be made to the database to 10 requests per hour per user. What is the most scalable, idiomatic (used for its intended purpose), decoupled. reusable, and maintainable integration mechanism available to synchronize each inventory pricing change with the various customer experience systems in near real-time?

As a part of project requirement, client will send a stream of data to mule application. Payload size can vary between 10mb to 5GB. Mule application is required to transform the data and send across multiple sftp servers. Due to the cost cuttings in the organization, mule application can only be allocated one worker with size of 0.2 vCore. As an integration architect , which streaming strategy you would suggest to handle this scenario?

Customer has deployed mule applications to different customer hosted mule run times. Mule applications are managed from Anypoint platform. What needs to be configured to monitor these Mule applications from Anypoint monitoring and what sends monitoring data to Anypoint monitoring? 

A manufacturing company is planning to deploy Mule applications to its own Azure Kubernetes Service infrastructure. The organization wants to make the Mule applications more available and robust by deploying each Mule application to an isolated Mule runtime in a Docker container while managing all the Mule applications from the MuleSoft-hosted control plane. What is the most idiomatic (used for its intended purpose) choice of runtime plane to meet these organizational requirements?