MuleSoft Training in Hyderabad

1. Problems of Point to Point Integration
2. What is an ESB?
3. How an ESB helps in solving problems with P2P Integration
4. The idea behind an ESB. How does it work?
5. What is Orchestration?
6. What is Mule?
7. What is an Any-point Platform for Mule?

1. What is a mule Flow? What is an Event Processor?
2. What Does a Mule Event Look like?
3. What is a Transformer, Endpoint?
4. Introduction to Any-point Studio
5. Describe the structure of new Mule 4 projects and deploy-able archives
6. Debugging a mule flow
7. Structure of a Mule Event in detail
8. Introduction to Data-Weave 2 as Mule Expression Language
9. LAB

1. Understanding modules in Mule.
2. Call static and non-static Java methods using the new Java module
3. Lab: Using Java Module

1. Starting Standalone mule Server.
2. Understanding various configurations in Standalone Server
3. Deploying applications manually to a standalone server
4. Registering a standalone server in Any-point Run-time Manager
5. Deploying Application to the standalone server using Run-time Manager

1. Consuming a Restful Web-service
2. Passing arguments to Restful Web-service
3. LAB: Consuming Restful Web-service
4. LAB: Consuming SOAP Web-services Using Web-service Consumer

1. Configuring file connector
2. Trigger a flow when a new file is added to a directory
3. Writing a file to the file system
4. Lab: Reading and writing files

1. Configuring Database Connector
2. Configure the Database Select operation
3. Externalizing configuration to YAML file.
4. Migrating between environments
5. Add secure properties to Mule4 applications
6. Lab: Database-endpoint
7. Lab: Externalization

• Trigger a flow when a new record is added to a file and use automatic Watermarking
• What are Object Stores?

• Understanding about Mule Domains.
• Sharing Global configurations across multiple projects using domains.
• Create Mule 4 domains using Maven coordinates and use them to inherit all dependencies
• Lab: Creating and using Mule domains

1. Scatter-Gather router
2. Choice Router
3. Lab: Implementing Scatter-Gather router

• Configuring JMS Connector
• Sending JMS Message to a queue using Publish endpoint of JMS Module
• Receiving JMS Message from a queue using JMS Listener endpoint of JMS Module
• Using Jms Selectors
• Using Publish Consume to send Ims message and receive JMS reply
• Setting Jms Headers
• Lab: Using JMS Module

1. Introduction to DataWeave data transformation Language
2. Writing Data Weave expressions
3. Adding Sample data to view
4. Previewing transformations in the studio
5. Externalizing Data weave expressions into DWL file
6. LAB: First Data-Weave Transformation
7. Writing Expressions for XML, ISON, and JAVA
8. Writing Expressions for transforming XML to JSON and vice versa
9. Using Message Variables in DWL
10. Properties in Transform Message transformer
11. LAB: Transformations for JSON, XML and Java

• Transforming complex data structures using DWL
• Working with collections in DWL using map operator
• Using $
• LAB: Transforming Complex Data-Structures
• Using Various Data Weave Operators
• Custom Data Types in DWL
• Formatting in DWL
• Conditional Logic Operators in DWL
• LAB: Data-Weave Operators’ Usage
• LAB: Using Data-Weave in combination with database component,

Web-service consumer, and HTTP Endpoint

1. What happens when an exception happens in a flow?
2. How to handle System Exceptions??
3. Difference between Mule 4 OnErrorContinue and OnError Propagate Scopes
4. Handling Errors at the application level
5. Handle specific types of errors
6. Handle errors at the flow level
7. Handle errors at the processor level using try scope
8. Map an error to a custom error type
9. Set a reconnection strategy for a connector
10. Use Validations to throw Mule 4 errors instead of Java exceptions
11. Lab: Handling errors

1. Functional testing of Mule flows using MUNIT
2. Generating MUNIT flows from existing flows
3. Writing various asserts
4. Setup and Teardown
5. Lab: Writing a sample test case using MUNIT

1. Understanding about different layers
2. Experience layer, Process layer, system layer

1. Use API designer to define an API with RAML
2. Use the mocking service to test an API
3. Add request and response details
4. Add an API to AnyPoint Exchange and share an API
5. Lab: Designing a RAML using API designer on Any point platform

1. Deploy an application to CloudHub
2. Create and deploy an API proxy
3. Restrict API access with policies and SLAS
4. Request and grant access to a managed API
5. Add client ID enforcement to an API specification

1. Understanding how to deploy on cloud-Hub
2. What are changes to be done when deploying from on-premises to the cloud