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 HTTPS
• B.AsyncAPI over HTTPS
  AMQP with RabbitMQ JSON/REST over HTTPS
• C.XML over ActiveMQ XML over SFTP XML/REST over HTTPS
• D.SOAP over HTTPS HOP over TLS gRPC over HTTPS

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What condition requires using a CloudHub Dedicated Load Balancer?

• A.When cross-region load balancing is required between separate deployments of the same Mule application
• B.When custom DNS names are required for API implementations deployed to customer-hosted Mule runtimes
• C.When API invocations across multiple CloudHub workers must be load balanced
• D.When server-side load-balanced TLS mutual authentication is required between API implementations and API clients

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A Mule application is being designed for deployment to a single CloudHub worker. The Mule application will have a flow that connects to a SaaS system to perform some operations each time the flow is invoked.
The SaaS system connector has operations that can be configured to request a short-lived token (fifteen minutes) that can be reused for subsequent connections within the fifteen minute time window. After the token expires, a new token must be requested and stored.
What is the most performant and idiomatic (used for its intended purpose) Anypoint Platform component or service to use to support persisting and reusing tokens in the Mule application to help speed up reconnecting the Mule application to the SaaS application?

• A.Variable
• B.Nonpersistent object store
• C.Persistent object store
• D.Database

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An organization has decided on a cloud migration strategy to minimize the organization's own IT resources. Currently the organization has all of its new applications running on its own premises and uses an on-premises load balancer that exposes all APIs under the base URL (https://api.rutujar.com).
As part of migration strategy, the organization is planning to migrate all of its new applications and load balancer CloudHub.
What is the most straightforward and cost-effective approach to Mule application deployment and load balancing that preserves the public URL's?

• A.Deploy the Mule application to Cloudhub
  Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the CloudHub shared load balancer Apply mapping rules in SLB to map URLto their corresponding Mule applications
• B.Deploy the Mule application to Cloudhub
  Create a CNAME record for base URL( httpsr://api.rutujar.com) in the Cloudhub shared load balancer that points to the A record of theon-premises load balancer Apply mapping rules in SLB to map URLto their corresponding Mule applications
• C.Deploy the Mule application to Cloudhub
  Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the Cloudhub dedicated load balancer Apply mapping rules in DLB to map URLto their corresponding Mule applications
• D.For each migrated Mule application, deploy an API proxy application to Cloudhub with all traffic to the mule applications routed through a Cloud Hub Dedicated load balancer (DLB) Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the CloudHub dedicated load balancer Apply mapping rules in DLB to map each API proxy application who is responding new application

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As an enterprise architect, what are the two reasons for which you would use a canonical data model in the new integration project using Mulesoft Anypoint platform ( choose two answers )

• A.To isolate areas within a bounded context
• B.Because the model isolates the back and systems and support mule applications from change
• C.To incorporate industry standard data formats
• D.There are multiple canonical definitions of each data type
• E.To have consistent data structure aligned in processes

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