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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:

• Write DataWeave expressions to access and modify event payloads, attributes, and variables
• Use transformers to set event payloads, attributes, and variables
• Describe the Mule event data structure
• Enrich Mule events using target parameters
• Accessing and modifying Mule events

Reference: https://training.mulesoft.com/exam/mcd-level1

MuleSoft Certified Developer - Level 1 Exam Certified Professional salary

The average salary of a MuleSoft Certified Developer - Level 1 Exam Certified Expert in

• United State - 100,200 USD
• Europe - 70,500 EURO
• India. - 14,00,327 INR
• England - 75,000 POUND

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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:

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

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