An organization uses a set of customer-hosted Mule runtimes that are managed using the Mulesoft-hosted control plane. What is a condition that can be alerted on from Anypoint Runtime Manager without any custom components or custom coding?

• A.When a Mule runtime on a given customer-hosted server is experiencing high memory consumption during certain periods
• B.When an SSL certificate used by one of the deployed Mule applications is about to expire
• C.When the Mute runtime license installed on a Mule runtime is about to expire
• D.When a Mule runtime's customer-hosted server is about to run out of disk space

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A marketing organization is designing a Mule application to process campaign dat a. The Mule application will periodically check for a file in a SFTP location and process the records in the file. The size of the file can vary from 10MB to 5GB. Due to the limited availabiltty of vCores, the Mule application is deployed to a single CloudHub worker configured with vCore size 0.2.
The application must transform and send different formats of this file to three different downstream SFTP locations.
What is the most idiomatic (used for its intended purpose) and performant way to configure the SFTP operations or event sources to process the large files to support these deployment requirements?

• A.Use an in-memory non-repeatable stream
• B.Use a file-stored non-repeatable stream
• C.Use a file-stored repeatable stream
• D.Use an in-memory repeatable stream

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An organization uses Mule runtimes which are managed by Anypoint Platform - Private Cloud Edition. What MuleSoft component is responsible for feeding analytics data to non-MuleSoft analytics platforms?

• A.Anypoint Runtime Manager
• B.Anypoint Exchange
• C.Anypoint API Manager
• D.The Mule runtimes

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The AnyAirline organization's passenger reservations center is designing an integration solution that combines invocations of three different System APIs (bookFlight, bookHotel, and bookCar) in a business transaction. Each System API makes calls to a single database.
The entire business transaction must be rolled back when at least one of the APIs fails.
What is the most idiomatic (used for its intended purpose) way to integrate these APIs in near real-time that provides the best balance of consistency, performance, and reliability?

• A.Implement an eXtended Architecture (XA) transaction manager in a Mule application using a Saga pattern Connect each API implementation with the Mule application using XA transactions Apply various compensating actions depending on where a failure occurs
• B.Implement local transactions in each API implementation
  Coordinate between the API implementations using a Saga pattern
  Apply various compensating actions depending on where a failure occurs
• C.Implement local transactions within each API implementation
  Configure each API implementation to also participate in the same eXtended Architecture (XA) transaction Implement caching in each API implementation to improve performance
• D.Implement eXtended Architecture (XA) transactions between the API implementations Coordinate between the API implementations using a Saga pattern Implement caching in each API implementation to improve performance

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Organization wants to achieve high availability goal for Mule applications in customer hosted runtime plane. Due to the complexity involved, data cannot be shared among of different instances of same Mule application. What option best suits to this requirement considering high availability is very much critical to the organization?

• A.The cluster can be configured
• B.Use third party product to implement load balancer
• C.High availability can be achieved only in CloudHub
• D.Use persistent object store

Correct Answer: B

High availability is about up-time of your application
A) High availability can be achieved only in CloudHub isn't correct statement. It can be achieved in customer hosted runtime planes as well B) An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. It can be used for disaster recovery but not for High Availability. Using object store can't guarantee that all instances won't go down at once. So not an appropriate choice.
Reference:
C) High availability can be achieved by below two models for on-premise MuleSoft implementations.
1) Mule Clustering - Where multiple Mule servers are available within the same cluster environment and the routing of requests will be done by the load balancer. A cluster is a set of up to eight servers that act as a single deployment target and high-availability processing unit. Application instances in a cluster are aware of each other, share common information, and synchronize statuses. If one server fails, another server takes over processing applications. A cluster can run multiple applications. ( refer left half of the diagram) In given scenario, it's mentioned that 'data cannot be shared among of different instances'. So this is not a correct choice.
2) Load balanced standalone Mule instances - The high availability can be achieved even without cluster, with the usage of third party load balancer pointing requests to different Mule servers. This approach does not share or synchronize data between Mule runtimes. Also high availability achieved as load balanced algorithms can be implemented using external load balancer. ( refer right half of the diagram)

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