Free Practice Questions for Salesforce Certified MuleSoft Developer Certification
- Guide checked for updates:
- 9 Oct 2026
- Question bank created:
- 9 Sep 2026
- Question bank last updated:
- 11 Sep 2026
Study with 348 exam-style practice questions designed to help you prepare for the Salesforce Certified MuleSoft Developer.
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Exam Details
Key information about Salesforce Certified MuleSoft Developer
- Multiple choice
- Matching
Spring '24 release
US$100, JPY 15,000
70%
None
Proctored (onsite or online)
US$200, JPY 30,000
None
120
60 multiple-choice (plus up to 5 unscored)
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
1: Creating Application Networks
1.1: Identify core architectural concepts of the Application Network and modern APIs.
Identify core architectural concepts of the Application Network and modern APIs.
1.2: Identify features of an API-led approach.
Identify features of an API-led approach.
1.3: Identify features of MuleSoft's recommended Operational Model (C4E).
Identify features of MuleSoft's recommended Operational Model (C4E).
1.4: Apply correct processors / syntax and predict outcomes to consume RESTful web services (RAML-based) and predict outcomes.
Apply correct processors / syntax and predict outcomes to consume RESTful web services (RAML-based) and predict outcomes.
2: Designing APIs
2.1: Use REST API methods and resources.
Use REST API methods and resources.
2.2: Define REST API parameters and responses.
Define REST API parameters and responses.
2.3: Identify when and how to define query parameters vs URI parameters.
Identify when and how to define query parameters vs URI parameters.
3: Accessing and Modifying Mule Events
3.1: Apply correct processors/DataWeave expressions to access and modify Mule event payloads, and predict outcomes.
Apply correct processors/DataWeave expressions to access and modify Mule event payloads, and predict outcomes.
3.2: Apply correct processors/DataWeave expressions to access and modify Mule event attributes, and predict outcomes.
Apply correct processors/DataWeave expressions to access and modify Mule event attributes, and predict outcomes.
3.3: Apply correct processors/DataWeave expressions to access and modify Mule variables, and predict outcomes.
Apply correct processors/DataWeave expressions to access and modify Mule variables, and predict outcomes.
3.4: Apply correct processors/DataWeave expressions to enrich Mule events using Mule 4 connector targets, and predict outcomes.
Apply correct processors/DataWeave expressions to enrich Mule events using Mule 4 connector targets, and predict outcomes.
4: Structuring Mule Applications
4.1: Specify when and how to structure Mule applications into separate configuration and properties files, and predict outcomes.
Specify when and how to structure Mule applications into separate configuration and properties files, and predict outcomes.
4.2: Specify when and how to pass events between flows and subflows using connectors and flow references, and predict outcomes.
Specify when and how to pass events between flows and subflows using connectors and flow references, and predict outcomes.
5: Building API Implementation Interfaces
5.1: Manually build API implementations from an API specification, RAML or not.
Manually build API implementations from an API specification, RAML or not.
5.2: Predict the results of APIkit based upon a RAML specification.
Predict the results of APIkit based upon a RAML specification.
5.3: Implement correct responses based on a RAML specification, either manually or with APIkit.
Implement correct responses based on a RAML specification, either manually or with APIkit.
6: Using Connectors
6.1: Apply correct processors/syntax to connect to databases, and predict outcomes.
Apply correct processors/syntax to connect to databases, and predict outcomes.
6.2: Apply correct processors/syntax to connect to files or FTP servers, and predict outcomes.
Apply correct processors/syntax to connect to files or FTP servers, and predict outcomes.
6.3: Apply correct processors/syntax to retrieve and combine data in the middle of a flow, and predict outcomes.
Apply correct processors/syntax to retrieve and combine data in the middle of a flow, and predict outcomes.
7: Processing Records
7.1: Apply correct processors/syntax to process individual records in a collection using For Each scopes, and predict outcomes.
Apply correct processors/syntax to process individual records in a collection using For Each scopes, and predict outcomes.
7.2: Apply correct processors/syntax to process individual records in a collection using batch scopes, and predict outcomes.
Apply correct processors/syntax to process individual records in a collection using batch scopes, and predict outcomes.
7.3: Apply correct processors/syntax to process individual records in a collection using DB listeners, and predict outcomes.
Apply correct processors/syntax to process individual records in a collection using DB listeners, and predict outcomes.
7.4: Apply correct processors/syntax to persist data between flow executions.
Apply correct processors/syntax to persist data between flow executions.
8: Transforming Data
8.1: Convert between output types and data types using DataWeave.
Convert between output types and data types using DataWeave.
8.2: Predict the result of core DataWeave functions.
Predict the result of core DataWeave functions.
8.3: Apply correct syntax to write DataWeave transformations to coerce, format, order, and filter data, and predict outcomes.
Apply correct syntax to write DataWeave transformations to coerce, format, order, and filter data, and predict outcomes.
8.4: Call Mule flows from a DataWeave script.
Call Mule flows from a DataWeave script.
8.5: Define, use, and reuse DataWeave modules, functions, and variables, and predict outcomes.
Define, use, and reuse DataWeave modules, functions, and variables, and predict outcomes.
9: Routing Events
9.1: Apply correct processors/syntax to route messages using DataWeave conditions within a choice router, and predict outcomes.
Apply correct processors/syntax to route messages using DataWeave conditions within a choice router, and predict outcomes.
9.2: Apply correct processors/syntax to scatter and gather messages, and predict outcomes.
Apply correct processors/syntax to scatter and gather messages, and predict outcomes.
9.3: Apply correct processors/syntax to validate Mule events, and predict outcomes.
Apply correct processors/syntax to validate Mule events, and predict outcomes.
10: Handling Errors
10.1: Apply correct processors/syntax to implement global error handlers, and predict outcomes.
Apply correct processors/syntax to implement global error handlers, and predict outcomes.
10.2: Apply correct processors/syntax to implement on-error continue and on-error propagate handlers, and predict outcomes.
Apply correct processors/syntax to implement on-error continue and on-error propagate handlers, and predict outcomes.
10.3: Apply correct processors/syntax to combine multiple error handlers, and predict outcomes.
Apply correct processors/syntax to combine multiple error handlers, and predict outcomes.
10.4: Apply correct processors /syntax to implement try scopes, and predict outcomes.
Apply correct processors /syntax to implement try scopes, and predict outcomes.
10.5: Apply correct processors/syntax to map custom errors, and predict outcomes.
Apply correct processors/syntax to map custom errors, and predict outcomes.
11: Debugging and Troubleshooting Mule Applications
11.1: Identify root causes for errors when debugging Mule applications, and predict outcomes.
Identify root causes for errors when debugging Mule applications, and predict outcomes.
12: Deploying and Managing APIs and Integrations
12.1: Deploy applications to CloudHub.
Deploy applications to CloudHub.
12.2: Manage APIs using separate proxies and auto-discovery.
Manage APIs using separate proxies and auto-discovery.
12.3: Manage API policies.
Manage API policies.
Techniques & products