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NEW QUESTION 41
Mule application A receives a request Anypoint MQ message REQU with a payload containing a variable-length list of request objects. Application A uses the For Each scope to split the list into individual objects and sends each object as a message to an Anypoint MQ queue.
Service S listens on that queue, processes each message independently of all other messages, and sends a response message to a response queue.
Application A listens on that response queue and must in turn create and publish a response Anypoint MQ message RESP with a payload containing the list of responses sent by service S in the same order as the request objects originally sent in REQU.
Assume successful response messages are returned by service S for all request messages.
What is required so that application A can ensure that the length and order of the list of objects in RESP and REQU match, while at the same time maximizing message throughput?

A. Perform all communication involving service S synchronously from within the For Each scope, so objects in RESP are in the exact same order as request objects in REQUB. Use a Scatter-Gather within the For Each scope to ensure response message order Configure the Scatter-Gather with a persistent object storeC. Use an Async scope within the For Each scope and collect response messages in a second For Each scope in the order In which they arrive, then send RESP using this list of responsesD. Keep track of the list length and all object indices in REQU, both in the For Each scope and in all communication involving service Use persistent storage when creating RESP

Answer: D

Explanation:
Correct answer is Perform all communication involving service S synchronously from within the For Each scope, so objects in RESP are in the exact same order as request objects in REQU Explanation: : Using Anypoint MQ, you can create two types of queues: Standard queue These queues don't guarantee a specific message order. Standard queues are the best fit for applications in which messages must be delivered quickly. FIFO (first in, first out) queue These queues ensure that your messages arrive in order. FIFO queues are the best fit for applications requiring strict message ordering and exactly-once delivery, but in which message delivery speed is of less importance Use of FIFO queue is no where in the option and also it decreased throughput. Similarly persistent object store is not the preferred solution approach when you maximizing message throughput. This rules out one of the options. Scatter Gather does not support ObjectStore. This rules out one of the options. Standard Anypoint MQ queues don't guarantee a specific message order hence using another for each block to collect response wont work as requirement here is to ensure the order. Hence considering all the above factors the feasible approach is Perform all communication involving service S synchronously from within the For Each scope, so objects in RESP are in the exact same order as request objects in REQU

 

NEW QUESTION 42
What Anypoint Connectors support transactions?

A. Database, JMS, HTTPB. Database, JMS, VMC. Database, JMS, VM, SFTPD. Database, VM, File

Answer: B

Explanation:
Explanation/Reference: https://docs.mulesoft.com/mule-runtime/4.2/transaction-management

 

NEW QUESTION 43
Refer to the exhibit.


A business process involves two APIs that interact with each other asynchronously over HTTP. Each API is implemented as a Mule application. API 1 receives the initial HTTP request and invokes API 2 (in a fire and forget fashion) while API 2, upon completion of the processing, calls back into API l to notify about completion of the asynchronous process.
Each API Is deployed to multiple redundant Mule runtimes and a separate load balancer, and is deployed to a separate network zone.
In the network architecture, how must the firewall rules be configured to enable the above Interaction between API 1 and API 2?

A. To open direct two-way communication between the Mule Runtimes of both API'sB. To allow communication between load balancers used by each APIC. To enable communication from each API's Mule Runtimes and Network zone to the load balancer of the other APID. To authorize the certificate to be used both APIs

Answer: C

Explanation:
* If your API implementation involves putting a load balancer in front of your APIkit application, configure the load balancer to redirect URLs that reference the baseUri of the application directly. If the load balancer does not redirect URLs, any calls that reach the load balancer looking for the application do not reach their destination.
* When you receive incoming traffic through the load balancer, the responses will go out the same way. However, traffic that is originating from your instance will not pass through the load balancer. Instead, it is sent directly from the public IP address of your instance out to the Internet. The ELB is not involved in that scenario.
* The question says "each API is deployed to multiple redundant Mule runtimes", that seems to be a hint for self hosted Mule runtime cluster. Set Inbound allowed for the LB, outbound allowed for runtime to request out.
* Hence correct way is to enable communication from each API's Mule Runtimes and Network zone to the load balancer of the other API. Because communication is asynchronous one

 

NEW QUESTION 44
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 Mule application using DataWeave, invoking existing transformation services when possibleB. Extend the existing transformation services with new transformation logic and invoke them from the new Mule applicationC. 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 applicationD. Implement transformation logic in the new Mule application using DataWeave, replicating the transformation logic of existing transformation services

Answer: B

 

NEW QUESTION 45
An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?

A. Required redesign of Mule applications to follow microservice architecture principlesB. Required change to the URL endpoints used by clients to send requests to the Mule applicationsC. Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud EditionD. Guaranteed consistency of execution environments across all deployments of a Mule application

Answer: A

Explanation:
* Organization can continue using existing load balancer even if backend application changes are there. So option A is ruled out.
* As Mule runtime is within their datacenter, this model is RTF and not PCE. So option C is ruled out.
Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications -- This mean PCE or Hybird not RTF - Also mentioned in Question is that - Mule runtime is hosting several Mule Application, so that also rules out RTF and as for hosting multiple Application it will have Domain project which need redesign to make it microservice architecture
--------------------------------------------------------------------------------------------------------------- Correct answer: Required redesign of Mule applications to follow microservice architecture principles

 

NEW QUESTION 46
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