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Salesforce Certified MuleSoft Developer (Mule-Dev-201) Exam Questions
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- Salesforce MuleSoft Developer I Certifications
- Topic 1: Creating Application Networks: The topic of creating Application Networks encompasses understanding MuleSoft’s proposal for closing the IT delivery gap and describing the role and characteristics of the modern API. It also includes the purpose and roles of a Center for Enablement (C4E), and the benefits of API-led.
- Topic 2: Designing APIs: Designing APIs involves describing the lifecycle of the modern API and using RAML to define various aspects of an API. It includes identifying when to use query parameters vs URI parameters, and defining API parameters.
- Topic 3: Accessing and Modifying Mule Events: It describes the Mule event data structure. Moreover, the topic focuses on usage of transformers and enriching Mule events.
- Topic 4: Structuring Mule Applications: Structuring Mule applications covers parameterizing an application and defining and reusing global configurations. It includes breaking an application into multiple flows using private flows, subflows, and the Flow Reference component.
- Topic 5: Building API Implementation Interfaces: This topic involves manually creating a RESTful interface for a Mule application and generating a REST Connector from a RAML specification. It also includes describing the features and benefits of APIkit.
- Topic 6: Using Connectors: It focuses on retrieving data from REST services using HTTP Request or REST Connector. Moreover, the topic covers using a Web Service Consumer connector for SOAP web services and the Transform Message component.
- Topic 7: Processing Records: Processing records includes methods for processing individual records in a collection and explaining how Mule events are processed by the For Each scope. It also involves using the Batch Job with Batch Steps and a Batch Aggregator.
- Topic 8: Transforming Data with DataWeave: It involves writing DataWeave scripts and using DataWeave functions. This topic also includes defining and using DataWeave variables, functions, and modules, and applying correct syntax.
- Topic 9: Routing Events: It focuses on using the Choice router for conditional logic and the Scatter-Gather router to multicast events. This topic also involves validating data by using the Validation module.
- Topic 10: Handling Errors: Handling errors includes describing default error handling in Mule applications and defining custom global default error handlers. It involves comparing On Error Continue and On Error Propagate scopes, creating error handlers for a flow, using the Try scope, and mapping errors to custom application errors.
- Topic 11: Debugging and Troubleshooting Mule Applications: Using breakpoints to inspect a Mule event during runtime, installing missing Maven dependencies, and reading and deciphering Mule log error messages are sub-topics of this topic.
- Topic 12: Deploying and Managing APIs and Integrations: It includes packaging Mule applications for deployment and deploying them to CloudHub. This topic also involves using CloudHub properties, creating and deploying API proxies, connecting an API implementation to API Manager, and applying policies to secure an API.
Free Salesforce Salesforce Certified MuleSoft Developer (Mule-Dev-201) Exam Actual Questions
Note: Premium Questions for Salesforce Certified MuleSoft Developer (Mule-Dev-201) were last updated On Jul. 15, 2026 (see below)
What is the difference between a subflow and a sync flow?
Correct answer is Subflow has no error handling implementation where as sync flow has.
Subflow
A subflow processes messages synchronously (relative to the flow that triggered its execution) and always inherits both the processing strategy and exception strategy employed by the triggering flow. While a subflow is running, processing on the triggering flow pauses, then resumes only after the subflow completes its processing and hands the message back to the triggering flow.
Synchronous Flow
A synchronous flow, like a subflow, processes messages synchronously (relative to the flow that triggered its execution). While a synchronous flow is running, processing on the triggering flow pauses, then resumes only after the synchronous flow completes its processing and hands the message back to the triggering flow. However, unlike a subflow, this type of flow does not inherit processing or exception strategies from the triggering flow.
This type of flow processes messages along a single thread, which is ideally suited to transactional processing
Pick the component with which DataWeave is tightly integrated.
Correct answer is Mule runtime
DataWeave is the MuleSoft expression language for accessing and transforming data that travels through a Mule app. DataWeave is tightly integrated with the Mule runtime engine, which runs the scripts and expressions in your Mule app.
Mule Doc Reference : https://docs.mulesoft.com/mule-runtime/4.3/dataweave
Refer to the exhibits. A web client submits a request to http://localhost:8081/fliqhts?destination=SFO and the Web Service Consumer throws a WSC:BAD_REQUEST error.
What is the next step to fix this error?
As can be seen in error message , SOAP service findFlights expects the SOAP paylaod. This can be set using transform message processor which forms SOAP payload before the Consume operation that contains the destination query parameter
Refer to the exhibit.
The main flow contains a Flow Reference for the child flow.
What values are accessible in the child flow after a web client submits a request to http://localhost:8Q81/order? color=red?
Flow Reference Component
Flow Reference routes the Mule event to another flow or subflow, executes all processors in the referenced flow, and then routes the event back within the same Mule application. The following diagram shows the order of processing when one flow references another:
When the main flow is triggered, the Mule event travels through and executes the flow until the event reaches the Flow Reference. The event then travels through and executes the referenced flow from beginning to end, and then returns to the main flow.
This process enables you to treat the entire referenced flow like a single component in your current flow.
Mule Ref Doc :https://docs.mulesoft.com/mule-runtime/4.3/flowref-about
Correct answer is
payload
quantity var
color query param
Refer to the exhibits.
What is written to the records.csv file when the flow executes?
Transform Message Add write_date is coverting payload in JSON format and same JSON payload is avaialble to file write processor. However, if the payload is a different format (for example, not CSV) , you can place the transformation inside the Write operation to generate content that will be written without producing a side effect on the message in transit. This is not done in this case. By default, the connector writes whatever is in the message payload. Hence JSON payload will be written to file.
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