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NEW QUESTION 54
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?

• A. First Successful router in the parent flow
  On Error Continue error handler in the child flow
• B. Parallel For Each scope in the parent flow
  On Error Propagate error handler in the child flow
• C. Until Successful router in the parent flow
  On Error Propagate error handler in the child flow
• D. For Each scope in the parent flow
  On Error Continue error handler in the child flow

Answer: A

 

NEW QUESTION 55
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. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
• B. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale
• C. 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
• D. 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

Answer: D

 

NEW QUESTION 56
A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already available as external transformation services that are mature and widely used across the organization; the rest is highly specific to the new Mule application.
The organization follows a rigorous testing approach, where every service and application must be extensively acceptance tested before it is allowed to go into production.
What is the best way to implement the data transformation logic for this new Mule application while minimizing the overall testing effort?

• A. Implement transformation logic in the new Mute application using DataWeave, invoking existing transformation services when possible
• B. Implement and expose all transformation logic as mlaoservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application
• C. Extend the existing transformation services with new transformation logic and Invoke them from the new Mule application
• D. Implement transformation logic in the new Mute application using DataWeave, replicating the transformation logic of existing transformation services

Answer: A

Explanation:
Correct answer is Implement transformation logic in the new Mule application using DataWeave, invoking existing transformation services when possible. * The key here minimal testing effort, “Extend existing transformation logic” is not a feasible option because additional functionality is highly specific to the new Mule application so it should not be a part of commonly used functionality. So this option is ruled out. * “Implement transformation logic in the new Mule application using DataWeave, replicating the transformation logic of existing transformation services” Replicating the transformation logic of existing transformation services will cause duplicity of code. So this option is ruled out. * “Implement and expose all transformation logic as microservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application” as question specifies that the transformation is app specific and wont be used outside

 

NEW QUESTION 57
A mule application is deployed to a Single Cloudhub worker and the public URL appears in Runtime Manager as the APP URL.
Requests are sent by external web clients over the public internet to the mule application App url. Each of these requests routed to the HTTPS Listener event source of therunning Mule application.
Later, the DevOps team edits some properties of this running Mule application in Runtime Manager.
Immediately after the new property values are applied in runtime manager, how is the current Mule application deployment affected and how will future web client requests to the Mule application be handled?

• A. Cloudhub will redeploy the mule application to the OLD Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker BOTH before and afterthe Mule application is redeployed.
• B. CloudHub will redeploy the Mule application to a NEW Cloudhub worker New web client requests will RETURN AN ERROR until the NEW Cloudhub worker is available
• C. Cloudhub will redeploy the Mule application to a NEW Cloudhub worker New webclient requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.
• D. Cloudhub will redeploy the Mule application to the OLD Cloudhub worker New web client requests will RETURN AN ERROR until the Mule application is redeployed to the OLD Cloudhub worker

Answer: C

 

NEW QUESTION 58
……