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NEW QUESTION 25
A finance giant is planning to migrate all its Mule applications to Runtime fabric (RTF). Currently all Mule applications are deployed cloud hub using automated CI/CD scripts.
As an integration architect, which of the below step would you suggest to ensure that the applications from cloudhub are migrated properly to Runtime Fabric (RTF) with an assumption that organization is keen on keeping the same deployment strategy.

A. No changes need to be made to POM.xml file and CI/CD script should be modified as per the RTF configurationsB. runtimeFabric dependency should be added as a mule plug-in to POM.xml file and CI/CD script should be modified as per the RTF configurationsC. runtimeFabric profile should be added mule configuration files in the mule applications and CI/CD script should be modified as per the RTF configurationsD. runtimeFabric deployment should be added to POM.xml file in all
the mule applications and CI/CD script should be modified as per the RTF configurations

Answer: D

 

NEW QUESTION 26
An organization is designing a Mule application to periodically poll an SFTP location for new files containing sales order records and then process those sales orders. Each sales order must be processed exactly once.
To support this requirement, the Mule application must identify and filter duplicate sales orders on the basis of a unique ID contained in each sales order record and then only send the new sales orders to the downstream system.
What is the most idiomatic (used for its intended purpose) Anypoint connector, validator, or scope that can be configured in the Mule application to filter duplicate sales orders on the basis of the unique ID field contained in each sales order record?

A. Configure a watermark In an On New or Updated File event source to filter unique records by the order IDB. Configure a Cache scope to filter and store each record from the received file by the order IDC. Configure a Database connector to filter and store each record by the order IDD. Configure an Idempotent Message Validator component to filter each record by the order ID

Answer: D

 

NEW QUESTION 27
A company is modernizing its legal systems lo accelerate access lo applications and data while supporting the adoption of new technologies. The key to achieving this business goal is unlocking the companies' key systems and dala including microservices miming under Docker and kubernetes containers using apis.
Considering the current aggressive backlog and project delivery requirements the company wants to take a strategic approach in the first phase of its transformation projects by quickly deploying API's in mule runtime that are able lo scale, connect to on premises systems and migrate as needed.
Which runtime deployment option supports company's goals?

A. Cloudhub runtimesB. Runtime fabric on Vmware metalC. Runtime fabric on self managed KubernetesD. Customer hosted self provisioned runtimes

Answer: C

 

NEW QUESTION 28
A company is designing an integration Mule application to process orders by submitting them to a back-end system for offline processing. Each order will be received by the Mule application through an HTTP5 POST and must be acknowledged immediately.
Once acknowledged the order will be submitted to a back-end system. Orders that cannot be successfully submitted due to the rejections from the back-end system will need to be processed manually (outside the banking system).
The mule application will be deployed to a customer hosted runtime and will be able to use an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the organization's firewall. The back-end system has a track record of unreliability due to both minor network connectivity issues and longer outages.
Which combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the back-end system while supporting but minimizing manual order processing?

A. One or more On Error scopes to assist calling the back-end system An Untill successful scope containing VM components for long retries A persistent dead-letter VM queue configure in Cloud hubB. An Until Successful scope to call the back-end system One or more ActiveMQ long-retry queues One or more ActiveMQ dead-letter queues for manual processingC. A batch job scope to call the back in system An Untill successful scope containing Object Store components for long retries. A dead-letter object store configured in the Mule applicationD. One or more on-Error scopes to assist calling the back-end system one or more ActiveMQ long-retry queues A persistent dead-letter Object store configuration in the CloudHub object store service

Answer: B

 

NEW QUESTION 29
An airline is architecting an API connectivity project to integrate its flight data into an online aggregation website. The interface must allow for secure communication high-performance and asynchronous message exchange.
What are suitable interface technologies for this integration assuming that Mulesoft fully supports these technologies and that Anypoint connectors exist for these interfaces?

A. CSV over FTP YAM L over TLS JSON over HTTPSB. SOAP over HTTPS HOP over TLS gRPC over HTTPSC. AsyncAPI over HTTPS
AMQP with RabbitMQ JSON/REST over HTTPSD. XML over ActiveMQ XML over SFTP XML/REST over HTTPS

Answer: C

 

NEW QUESTION 30
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