Mulesoft Interview Questions and Answers (2023)

A batch job is the scope element in an application in which Mule processes a message payload as a batch of records. The term batch job is inclusive of all three phases of processing: Load and Dispatch, Process, and On Complete.

Fan-in refers to the maximum number of input signals that feed the input equations of a logic cell.

The core concept of the ESB architecture is that you integrate different applications by putting a communication bus between them and then enable each application to talk to the bus. This decouples systems from each other, allowing them to communicate without dependency on or knowledge of other systems on the bus.

A Transformer prepares a message to be processed through a Mule flow by enhancing or altering the message header or message payload.

The payload contains the body of the message. For example: the content of a file, a record from a database, or the response to a REST or Web Service request.

The first logical layer is the model layer. A Mule model represents the run-time environment that hosts services. It defines the behavior of Mule when processing requests handled by these services.

A connector is software that provides a connection between a Mule flow and an external resource. The resource can be any source of content, such as a database, protocol, or API. You can create a connector with the Anypoint Connector DevKit and the Anypoint Studio IDE.

Sharing resources allows multiple development teams to work in parallel using the same set of connector configurations, enabling the teams to: Expose multiple services within the domain through the same port. Share the connection to persistent storage.

Runtime Manager is the Anypoint Platform tool used to deploy and manage all of your Mule applications from one central location, whether your apps are running in the cloud or on-premises.

Endpoints define the transport protocol configurations necessary to receive or send messages with external trading partners or internal backend applications.

The multicasting router is similar to the static recipient list in that it simultaneously sends the same message across a set of outbound endpoints. The difference is that the multicasting router is used when the endpoint list contains different types of transports.

You can use the Java Virtual Machine (VM) transport for intra-JVM communication between Mule flows. This transport by default uses in-memory queues but can optionally be configured to use persistent queues. Notes: VM file persistency does not work on clusters.

Transient Context is used for passing values between Mediation primitives within the current flow — either the request flow or the responses flow. The transient context cannot link requests and responses and hence cannot be used across.

RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs.

RESTful API Modeling Language (RAML) makes it easy to manage the API lifecycle from design to deployment to sharing. It's concise and reusable; you only have to write what you need to define and you can use it again and again. Uniquely among API specs, it was developed to model an API, not just document it.

The advantages of the logger component are:

• Users can add this core component anywhere in the workflow.
• It can be configured to any combination of strings and expressions.

Filters in Mule flows play a vital role in deciding whether messages can be passed to other message processors or not. When a message reaches a filter in the flow and meets the required conditions, then it passed to other processors in the flow.

Routers (Flow Controls in Anypoint Studio) route messages to various destinations in a Mule flow.

The Scatter-Gather component is a routing event processor that processes a Mule event through different parallel processing routes that contain different event processors. Each route receives a reference to the Mule event and executes a sequence of one or more event processors.

Correlation Context is when the mediation primitive needs to pass the value from the request flow to the response flow. Here, the correlation context plays the role of passing the value.