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Anypoint Platform Development: Fundamentals (Mule 4)

  1. Identify all the components of Anypoint Platform
  2. Describe the role of each component in building application networks
  3. Navigate Anypoint Platform
  4. Locate APIs and other assets needed to build integrations and APIs in Anypoint Exchange
  5. Build basic integrations to connect systems using flow designer
  1. Define APIs with RAML, the Restful API Modeling Language
  2. Mock APIs to test their design before they are built
  3. Make APIs discoverable by adding them to Anypoint Exchange
  4. Create API portals for developers to learn how to use APIs
  1. Use Anypoint Studio to create flows graphically
  2. Build, run, and test Mule applications
  3. Use a connector to connect to databases
  4. Use the graphical DataWeave editor to transform data
  5. Create RESTful interfaces for applications from a RAML file
  6. Connect API interfaces to API implementations
  1. Describe the options for deploying Mule applications
  2. Deploy Mule applications to CloudHub
  3. Use API Manager to create and deploy API proxies to CloudHub
  4. Restrict access to API proxies
  1. Log event data
  2. Debug Mule applications
  3. Read and write event properties
  4. Write expressions with DataWeave
  5. Create variables
  1. Create and reference flows and subflows
  2. Pass messages between flows using the Java Virtual Machine (VM) transport
  3. Use properties in Mule applications so they can be easily moved between environments
  4. Encapsulate global elements in separate configuration files
  5. Explore the files and folder structure of Mule projects and deployable archives
  1. Consume RESTful web services with and without parameters
  2. Consume RESTful web services that have RAML definitions
  3. Consume SOAP web services
  4. Use DataWeave to pass parameters to SOAP web services
  1. Route events based on conditions
  2. Multicast events
  3. Validate events
  1. Handle messaging errors in flows
  2. Handle errors for one or more event processors instead of at the flow level
  3. Create and use global error handlers
  4. Specify a default error handler
  1. Write DataWeave expressions for basic and complex XML, JSON, and Java transformations
  2. Use DataWeave operators and coerce and format strings, numbers, and dates
  3. Define and use custom data types
  4. Simplify and abstract DataWeave code into reusable functions and modules
  5. Call Mule flows from DataWeave transformations
  1. Connect to JMS queues
  2. Connect to files
  3. Connect to SaaS applications
  4. Poll resources
  1. Use the For Each scope to process items in a collection in series
  2. Use the Batch scope to process individual records in parallel
  3. Use batch jobs to synchronize data from legacy databases to SaaS applications

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