Understanding functional and technical aspects of MuleSoft Certified Developer - Level 1 Accessing and modifying Mule events
The following will be asked from you in the exam:
- Accessing and modifying Mule events
- Enrich Mule events using target parameters
- Describe the Mule event data structure
- Write DataWeave expressions to access and modify event payloads, attributes, and variables
- Use transformers to set event payloads, attributes, and variables
Our real exam test (MuleSoft Certified Developer - Level 1 (Mule 4)) types introduce
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Objectives for This Validation
There are varied topics targeting the MuleSoft Certified Developer - Level 1 (Mule 4) certificate. They are as follows:
- Creation and Consumption of APIs
In this domain, candidates will tackle issues with the APIs lifecycle, query parameters, RAML, parameters for URI, and those data types that can be reused. What's more, examinees will be highlighted on samples for format independence, RESTful requests, headers, and nested sources.
- Record processing
A domain like this refers to ways of processing data and Mule events, automatic and manual watermarks, and triggering flows. Apart from these, applicants will learn how to take advantage of the For Each scope, Batch Job, Batch Steps, and Batch Aggregator to accomplish record processing. Finally, the utilization of the Object Store will assist you in persisting data chunks between flows.
- App Network Fundamentals
This area includes such concepts as IT delivery gap, C4E (Center for Enablement), modern API, as well as the HTTP protocol. It is also about capabilities and elements accessible in Anypoint, which also target the API full lifecycle. Apart from these, candidates will get exposed to API connectivity, interface, execution, and invocation alongside application networking facets, requests, and responses.
- Handling Errors
This section embraces controlling default errors as well as custom global default inaccuracies, stating error handlers, structures for data, and an app mapping of errors. Also, you will have to differentiate between the On Error Continue & On Error Propagate parts and define the Mule Error object.
- Structuring Mule Applications
This sector concerns data and it goes ahead to cover tasks such as parameterizing applications, describing and reutilizing global configurations, elements of Flow Reference, private flows, and subflows in breaking an application. Additionally, you will have to identify which data is used between flows and before & after a call. Finally, candidates will have to be proficient in Mule events and resources used for external purposes.
- Accessing and Modifying Mule Events
This scope builds skills in data structure targeting Mule events, transformers, payloads, target parameters, and DataWeave features as well as expressions, which are essential in enhancing Mule events.
- Deployment and Managing of APIs & Integrations
This area relates to packaging Mule apps in readiness for deployment, deploying applications, developing and positioning API proxies, connection and execution of API, and utilizing policies for enforcing ID. Also, it takes in the creation of SLA tiers in addition to the application of SLA policies.
- Transforming Data with DataWeave
This topic goes into the matters of custom data varieties, DataWeave functions and scripts, Mule Flows, and DataWeave syntax. Additionally, candidates will get equipped with such skills as operating with JSON, XML, and Java data chunks as well as their content, and custom data pieces.
- Routing Events
This topic incorporates the usage of Scatter-Gather Router in multicasting events, Choice Router in routing events, and the use of Validation Module for validating data.
- Building Execution for API
It handles creating interfaces called RESTful that target Mule apps, giving rise to REST Connectors form a RAML tool, comprehending how to carry out routing requests, and covers API alongside its strengths and weaknesses. Besides, the creation execution flows from a RAML file by making use of APIkit will be looked into within this section.
- Using Connectors
Here, candidates must have a comprehension of techniques for data retrieval, parameterized queries targeting SQL, passing arguments, SOAP consumption for the web, listing, and reading in addition to writing local as well as remote files. The final issue on this topic is centered on publishing alongside listening for messages related to JMS.
- Debugging and Troubleshooting Mule Application
It takes care of inspecting Mules, installation of lacking Maven dependencies, and going through and interpreting error alerts from messages for logs related to Mule.
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Understanding functional and technical aspects of MuleSoft Certified Developer - Level 1 Processing records
The following will be asked from you in the exam:
- Use a Batch Job with Batch Steps and a Batch Aggregator to process records
- Processing records
- Explain how Mule events are processed by the For Each scope
- Use the Scheduler component to trigger a flow
- Explain how Mule events are processed by the Batch Job scope
- Persist data between flow executions using the Object Store
- Use connectors with automatic watermarking capabilities
- Describe the features, benefits, and process to use automatic watermarking vs manual watermarking
- Use connector listeners to trigger flows
- List and compare and contrast the methods for processing individual records in a collection
- Describe the features, benefits, and process to use watermarking
- Use the For Each scope to process records
Reference: https://training.mulesoft.com/exam/mcd-level1
MuleSoft MCD-Level-1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| DataWeave Transformations | 20% | - Data format conversion - DataWeave syntax and expressions - Payload and attribute manipulation |
| Mule Application Development | 25% | - Connectors and transports - Properties and configuration - Flow construction and components |
| API Design & Implementation | 15% | - RAML-based API definition - APIkit usage - RESTful interface implementation |
| MuleSoft Fundamentals & Anypoint Platform | 10% | - API lifecycle management - Anypoint Platform architecture and components - API-led connectivity concepts |
| Error Handling & Logging | 15% | - Default error handling - Custom error handlers - Logging and monitoring |
| Testing, Debugging & Deployment | 15% | - Deployment best practices - Application deployment to CloudHub - Debugging in Anypoint Studio |


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