An integration Mute application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row falls, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mute components is most idiomatic (used according to their intended purpose) when Implementing the above requirements?

• A.VM connector first Successful scope On Error Propagate scope
• B.Async scope On Error Propagate scope
• C.For Each scope On Error Continue scope
• D.Scatter-Gather component On Error Continue scope

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Refer to the exhibit.

One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in a staging (non-production) environment?

• A.Include logic within the API implementation that bypasses invocations of the backend system in a performance test situation. Instead invoking local stubs that replicate typical backend system responses then conduct performance tests using this API Implementation
• B.Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests
• C.Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
• D.Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale

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An organization's governance process requires project teams to get formal approval from all key stakeholders for all new Integration design specifications. An integration Mule application Is being designed that interacts with various backend systems. The Mule application will be created using Anypoint Design Center or Anypoint Studio and will then be deployed to a customer-hosted runtime.
What key elements should be included in the integration design specification when requesting approval for this Mule application?

• A.The credentials to access the backend systems and contact details for the administrator of each system
• B.A list of current and future consumers of the Mule application and their contact details
• C.Snapshots of the Mule application's flows, including their error handling
• D.SLAs and non-functional requirements to access the backend systems

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Refer to the exhibit.

A Mule application is being designed to be deployed to several CIoudHub workers. The Mule application's integration logic is to replicate changed Accounts from Satesforce to a backend system every 5 minutes.
A watermark will be used to only retrieve those Satesforce Accounts that have been modified since the last time the integration logic ran.
What is the most appropriate way to implement persistence for the watermark in order to support the required data replication integration logic?

• A.Persistent Anypoint MQ Queue
• B.Persistent Cache Scope
• C.Persistent VM Queue
• D.Persistent Object Store

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A Mule application uses an HTTP Request operation to invoke an external API.
The external API follows the HTTP specification for proper status code usage.
What is a possible cause when a 3xx status code is returned to the HTTP Request operation from the external API?

• A.The request was ACCEPTED by the external API
• B.The request was REDIRECTED to a different URL by the external API
• C.The request was NOT RECEIVED by the external API
• D.The request was NOT ACCEPTED by the external API

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