Salesforce Certified MuleSoft Developer Exam Questions Prep

About the Salesforce Certified MuleSoft Developer Exam

This exam targets professionals who have worked on basic Mule 4 projects with guidance or supervision.

A Salesforce Certified MuleSoft Developer can design, build, test, debug, deploy, and manage basic APIs and integrations while moving between Anypoint Platform and Anypoint Studio.

This certification is a prerequisite for the Salesforce MuleSoft Developer II credential.

Candidate Profile: Knowledge & Skills

Successful candidates can:

• Use the MuleSoft-hosted Anypoint Platform to take a basic API through its lifecycle: design, build, deploy, manage, and govern.

• Use Anypoint Studio to build, test, and debug basic integrations and API implementations.

• Connect to databases, files, web services, SaaS applications, and JMS queues.

• Perform basic DataWeave 2.0 transformations, control event flow, handle errors, and process batch records.

Out of Scope (Not Expected)

You are not required to:

• Implement production-ready Mule integrations in a DevOps environment.

• Expose production-ready Anypoint Platform–managed APIs from Mule apps.

• Build maintainable, modular applications and Maven builds for large projects.

• Implement monitoring for Mule apps.

• Tune for performance and reliability.

• Secure data at rest and in transit.

Typical Job Roles

• Developer

• Architect

• Administrator

Purpose of This Exam Guide

This guide helps you assess readiness for the Salesforce Certified MuleSoft Developer exam. It explains who the exam is for, points to recommended training and documentation, and lists the objectives to support a passing score. A blend of real project work, coursework, and self-study is recommended.

Exam at a Glance

• Content: 60 multiple-choice questions + up to 5 unscored items

• Time: 120 minutes (includes time for unscored items)

• Passing score: 70%

• Version: Aligned to the Spring ’24 release

• Registration fee: US$200 + applicable taxes

• Retake fee: US$100 + applicable taxes

• Delivery: Proctored at a test center or online (see Salesforce’s scheduling portal)

• References: Closed-book; no hard-copy or online materials allowed

• Prerequisite: None

Exam Outline

The Salesforce Certified MuleSoft Developer Exam measures a candidate’s knowledge and skills related to the following objectives. Candidates should have experience working on basic Mule 4 projects with guidance and supervision. Candidates should also have knowledge of core integration and application programming interface (API)-led connectivity terminology and concepts, as well as the components and benefits of Anypoint Platform for system integration and API management.

Creating Application Networks 7%

• Identify core architectural concepts of the Application Network and modern APIs.

• Identify features of an API-led approach.

• Identify features of MuleSoft's recommended Operational Model (C4E).

• Apply correct processors/syntax and predict outcomes to consume RESTful web services (RAML-based).

Designing APIs: 8%

• Use REST API methods and resources.

• Define REST API parameters and responses.

• Call RESTful services defined by RAML syntax.

Accessing and Modifying Mule events: 10%

• 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 attributes, and predict outcomes.

• Apply correct processors/DataWeave expressions to access and modify Mule variables, and predict outcomes.

• Apply correct processors/DataWeave expressions to enrich Mule events using Mule 4 connector targets, and predict outcomes.

Structuring Mule Applications: 10%

• Specify when and how to structure Mule applications into separate configuration and properties files, and predict outcomes.

• Specify when and how to pass events between flows and subflows using connectors and flow references, and predict outcomes.

Building API Implementation Interfaces: 7%

• Manually build API implementations from an API specification, RAML or not.

• Predict the results of APIkit based upon a RAML specification.

• Implement correct responses based on a RAML specification, either manually or with APIkit.

Using Connectors: 10%

• Apply correct processors/syntax to connect to databases, and predict outcomes.

• Apply correct processors/syntax to connect to files or FTP servers, and predict outcomes.

• Apply correct processors/syntax to retrieve and combine data in the middle of a flow, and predict outcomes.

Processing Records: 10%

• 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 batch scopes, and predict outcomes.

• Apply correct processors/syntax to process individual records in a collection using async scopes, and predict outcomes.

• 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 messaging queues, and predict outcomes.

• Apply correct processors/syntax to persist data between flow executions.

Transforming Data: 10%

• Convert between output types and data types using DataWeave.

• Predict the result of core DataWeave functions.

• Apply correct syntax to write DataWeave transformations to coerce, format, order, and filter data, and predict outcomes.

• Call Mule flows from a DataWeave script.

• Define, use, and reuse DataWeave modules, functions, and variables, and predict outcomes.

Routing Events: 8%

• Apply correct processors/syntax to route messages using DataWeave conditions within a choice router, and predict outcomes.

• Apply correct processors/syntax to scatter and gather messages, and predict outcomes.

• Apply correct processors/syntax to validate Mule events, and predict outcomes.

Handling Errors: 8%

• Apply correct processors/syntax to implement global error handlers, and predict outcomes.

• Apply correct processors/syntax to implement on-error continue and on-error propagate handlers, and predict outcomes.

• Apply correct processors/syntax to combine multiple error handlers, and predict outcomes.

• Apply correct processors /syntax to implement try scopes, and predict outcomes.

• Apply correct processors/syntax to map custom errors, and predict outcomes.

Debugging and Troubleshooting Mule Applications: 5%

• Apply correct MUnit processors to implement basic automatic tests for Mule applications, and predict outcomes.

• Identify root causes for errors when debugging Mule applications, and predict outcomes.

Deploying and Managing APIs and Integrations: 7%

• Deploy applications to CloudHub.

• Manage APIs using separate proxies and auto-discovery.

• Manage API policies.