MuleSoft Certified Developer - Level 1 (Mule 4)Practice Test

Describe the lifecycle of the modern API

• Use RAML to define API resources, nested resources, and methods
• Identify when and how to define query parameters vs URI parameters
• Use RAML to define API parameters, requests, and responses
• Use RAML to define reusable data types and format-independent examples

Read a RAML spec and formulate RESTful requests with query parameters and/or headers as appropriate

Describe the Mule event data structure

Use transformers to set event payloads, attributes, and variables

Write DataWeave expressions to access and modify event payloads, attributes, and variables

Parameterize an application using property placeholders

Define and reuse global configurations in an application

• Break an application into multiple flows using private flows, subflows, and the Flow Reference component
• Specify what data (payload, attributes, variables) is persisted between flows when a Flow Reference is used
• Specify what data (payload, attributes, variables) is persisted between flows when a Mule event crosses a connection boundary
• Specify what data (payload, attributes, variables) exists in a flow before and after a call in the middle of a flow to an external resource

Manually create a RESTful interface for a Mule application

Generate a REST Connector from a RAML specification

• Describe the features and benefits of APIkit
• Use APIkit to create implementation flows from a RAML file
• Describe how requests are routed through flows generated by APIkit

Use the Choice router to route events based on conditional logic

Use the Scatter-Gather router to multicast events

Validate data using the Validation module

Describe the default error handling in a Mule application

Define a custom global default error handler for an application and identify in what situations it will be used

Compare and contrast how the On Error Continue and On Error Propagate scopes work

Create one or more error handlers for a flow

Use the Try scope to specify error handlers for one or more event processors

Describe the data structure of the Mule Error object

Map errors to custom application errors

Write DataWeave scripts to convert JSON, XML, and Java data structures to different data structures and data types

Use DataWeave functions

Define and use DataWeave variables, functions, and modules

Define and use custom data types

Call Mule flows from a DataWeave script

• Retrieve data from a Database using the Database connector
• Create parameterized SQL queries for the Database connector

Retrieve data from a REST service using the HTTP Request operation or a REST Connector

• Use a Web Service Consumer connector to consume a SOAP web service
• Use the Transform Message component to pass arguments to a SOAP web service

List, read, and write local files using the File connector

List, read, and write remote files using the FTP connector

Use the JMS connector to publish and listen for JMS messages

List and compare and contrast the methods for processing individual records in a collection

• Explain how Mule events are processed by the For Each scope
• Use the For Each scope to process records

• Explain how Mule events are processed by the Batch Job scope
• Use a Batch Job with Batch Steps and a Batch Aggregator to process records

• Use the Scheduler component to trigger a flow
• Use connector listeners to trigger flows

• Describe the features, benefits, and process to use automatic watermarking vs. manual watermarking
• Use connectors with automatic watermarking capabilities

Use breakpoints to inspect a Mule event during runtime

Install missing Maven dependencies

Read and decipher Mule log error messages

Package Mule applications for deployment

• Deploy applications to CloudHub
• Use CloudHub properties to ensure deployment success

Create and deploy API proxies

Connect an API implementation to API Manager using autodiscovery

Use policies, including client ID enforcement, to secure an API

Create SLA tiers and apply SLA based policies