A manufacturing company plans to deploy Mule applications to its own
Azure Kubernetes service infrastructure.The organization wants to make
the Mule applications more available and robust by deploying each Mule
application to an isolated Mule runtime in a Docker container while
managing all the Mule applications from the MuleSoft-hosted control plane.
What choice of runtime plane meets these organizational requirements?
As a part of project requirement, Java Invoke static connector in a mule 4 application needs to invoke a static method in a dependency jar file. What are two ways to add the dependency to be visible by the connectors class loader?
(Choose two answers)
Cloud Hub is an example of which cloud computing service model?
Which productivity advantage does Anypoint Platform have to both implement and manage an AP?
An Organization has previously provisioned its own AWS VPC hosting various servers. The organization now needs to use Cloudhub to host a Mule application that will implement a REST API once deployed to Cloudhub, this Mule application must be able to communicate securely with the customer-provisioned AWS VPC resources within the same region, without being interceptable on the public internet.
What Anypoint Platform features should be used to meet these network communication requirements between Cloudhub and the existing customer-provisioned AWS VPC?
A retail company is implementing a MuleSoft API to get inventory details from two vendors by Invoking each vendor's online applications. Due to network issues, the invocations to the vendor applications are timing out intermittently, but the requests are successful after re-invoking each
vendor application.
What is the most performant way of implementing the API to invoke each vendor application and to retry invocations that generate timeout errors?
Refer to the exhibit.
A shopping cart checkout process consists of a web store backend sending a sequence of API invocations to an Experience API, which in turn invokes a Process API. All API invocations are over HTTPS POST. The Java web store backend executes in a Java EE application server, while all API implementations are Mule applications executing in a customer -hosted Mule runtime.
End-to-end correlation of all HTTP requests and responses belonging to each individual checkout Instance is required. This is to be done through a common correlation ID, so that all log entries written by the web store backend, Experience API implementation, and Process API implementation include the same correlation ID for all requests and responses belonging to the same checkout instance.
What is the most efficient way (using the least amount of custom coding or configuration) for the web store backend and the implementations of the Experience API and Process API to participate in end-to-end correlation of the API invocations for each checkout instance?
A)
The web store backend, being a Java EE application, automatically makes use of the thread-local correlation ID generated by the Java EE application server and automatically transmits that to the Experience API using HTTP-standard headers
No special code or configuration is included in the web store backend, Experience API, and Process API implementations to generate and manage the correlation ID
B)
The web store backend generates a new correlation ID value at the start of checkout and sets it on the X-CORRELATlON-lt HTTP request header In each API invocation belonging to that checkout
No special code or configuration is included in the Experience API and Process API implementations to generate and manage the correlation ID
C)
The Experience API implementation generates a correlation ID for each incoming HTTP request and passes it to the web store backend in the HTTP response, which includes it in all subsequent API invocations to the Experience API.
The Experience API implementation must be coded to also propagate the correlation ID to the Process API in a suitable HTTP request header
D)
The web store backend sends a correlation ID value in the HTTP request body In the way required by the Experience API
The Experience API and Process API implementations must be coded to receive the custom correlation ID In the HTTP requests and propagate It in suitable HTTP request headers
A leading bank implementing new mule API.
The purpose of API to fetch the customer account balances from the backend application and display them on the online platform the online banking platform. The online banking platform will send an array of accounts to Mule API get the account balances.
As a part of the processing the Mule API needs to insert the data into the database for auditing purposes and this process should not have any performance related implications on the account balance retrieval flow
How should this requirement be implemented to achieve better throughput?
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?
Which of the below requirements prevent the usage of Anypoint MQ in a company's network? (Choose two answers)
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