Mulesoft Training

Upon the successful completion of this course you will gain the overall knowledge of below concepts:

• Fundamentals of Mulesoft API Integration 
• Network application using Anypoint platform and API-led connectivity.
• Using Anypoint platform to design, build, manage API  and governing APIs.  
• Batch data processing.

Following are the professionals who can advance in their career by learning this course:

• Software Professionals
• System Administrators
• Aspirants who wish to start their career in data Integration. 

• The demand for the integration technologies have been growing over the years and Mulesoft is one of the widely used Integration platforms of today's IT world. 
• Rapid deployment of this tool by the organizations have created a good number of job opportunities in this field.
• According to Zip Recruiter, the average salary received by a Mulesoft professional is $119903 a year.

Yes, upon the successful completion of the Mulesoft training you will receive the course completion certificate from SK trainings. This certificate is valid across all the top MNCs and simplifies your job search process.

Yes, you will get all assistance from the Mulesoft experts required to clear your certification exams. Moreover, you will be provided with the experts designed Mulesoft course material to clear your certification exam.

• What is a mule Flow?
• What is Event Processor?
• How a Mule Event does looks like?
• What is a Transformer, Endpoint?
• Introduction to Any-point Studio
• Describe the structure of new Mule 4 projects and deploy-able archives
• Debugging a mule flow
• Structure of a Mule-Event in detail
• Track event data as it moves in and out of a Mule application
• Introduction to Data-Weave 2 as Mule Expression Language

• Understanding modules in Mule.
• Call static  and non static Java methods using the new Java module

• Starting Stand alone mule Server.
• Understanding various configurations in Standalone Server
• Deploying applications manually to standalone server
• Registering a standalone server in Any-point Run-time Manager
• Deploying Application to standalone server using Run-time Manager

• Consuming a Restful Web-service
• Passing arguments to Restful Web-service

• Configuring file connector
• Trigger a flow when a new file is added to a directory
• Writing a file to file system

• Configuring Database Connector
• Configure the Database Select operation
• Externalizing configuration to yaml file.
• Migrating between environments
• Add secure properties to Mule4 applications

• Trigger a flow when a new record is added to a database and use automatic Watermarking
• What are Object Stores?
• Schedule a flow and use manual watermarking using 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

• Scatter-Gather router
• Choice Router
• First Successful
• Until Successful

• 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 Jms message and receive JMS reply
• Setting Jms Headers

• Introduction to Data Weave data transformation Language
• Writing Data-Weave expressions
• Adding Sample data to view
• Previewing transformations in studio
• Externalizing Data weave expressions into DWL file

• Writing Expressions for XML , JSON and JAVA
• Writing Expressions for transforming XML to JSON and vice-versa
• Using Message Variables in DWL
• Creating multiple transformations to create Flow variables, Session variables and Outbound
• Properties in Transform Message transformer

• Transforming complex data structures using DWL
• Working with collections in DWL using map operator
• Using  $

• Using Various Data-Weave Operators
• Custom Data-Types in DWL
• Formatting in DWL
• Conditional Logic Operators in DWL

• What happens when exception happens in a flow?
• How to handle System Exceptions??
• Difference between Mule 4 OnErrorContinue and OnErrorPropaget Scopes
• Handling Errors at application level
• Handle specific types of errors
• Handle errors at the flow level
• Handle errors at the processor level using try scope
• Map an error to a custom error type
• Set a reconnection strategy for a connector
• Use Validations to throw Mule 4 errors instead of Java exceptions

• Functional testing of Mule flows using MUNIT
• Generating MUNIT flows from existing flows
• Writing various asserts
• Setup and Tear down

• Understanding about iPass and Cloud hub
• Deploying mule application to Cloud hub Runtime manager.

• Use API designer to define an API with RAML
• Use the mocking service to test an API
• Add request and response details
• Add an API to AnyPoint Exchange
• Share an API

• Deploy an application to CloudHub
• Create and deploy an API proxy
• Restrict API access with policies and SLAs
• Request and grant access to a managed API
• Add client ID enforcement to an API specification

Various types of messages in MuleSoft are: 1) echo and log message, 2) bridge message, and 3) build message.

Fan-in helps in taking a decision to continue flow execution. It be used in combination with fan out.

The features of Mule ESB are:

●   Offer SLA (Service Level Agreement) monitoring and API management facility.
●   It has easy to use and drag and drop graphical design.
●   Mule ESB provides high scalability.
●   It enables developers to deploy in one click cloud or on-premise deployments.

MuleSoft has six types of strategy for flow processing:

●   A queued asynchronous flow processing
●   Custom flow processing
●   Tread per processing
●   Queued flow processing
●   Non-blocking flow processing
●   Synchronous flow processing
●   Asynchronous flow processing

Different types of exception handlings are:

●   Rollback exception handling.
●   Default exception handling.
●   Catch exception handling.
●   Global exception handling.
●   Choice exception handling.

The payload is a mule runtime variable that stores objects or arrays. It helps developers to access payload under different forms.

The basic principles of ESB integration are:

●   Transformation: It deals with the transportation of data between data formats needed by the ESP connector.
●   Non-functional consistency: It is the way of how monitoring and security policies are applied and should be consistent.
●   Mediation: It involves offering different interfaces to:
1.  Enables different channels to the same component implementation.
2.  Support various service versions for backward compatibility.

The full form of SDO is a Service Data Object.

Types of variables in MuleSoft are:

●   Flow Variable: It is used to either set or removes variables tied to a particular message in the current flow.
●   Record Variable: It is used for batch processing flows.
●   Session Variable: This variable is used to either set or remove variables tied to a particular message for the complete lifecycle.

Various types of Endpoints in Mule are 1) JMS, 2) HTTP, 3) SMTP, 4) IMAP, and 5) AJAX.

Fan out is primitive that can be used to input messages through the output terminal once or more than one time. It can also be used as a combination of both fan-out and fan-in.

Transient context is used to pass the values within the existing flow, either requesting flow or the responding flow.

API is the acronym for Application Programming Interface. It is a software interface that allows two applications to interact with each other without any user intervention. APIs provides product or service to communicate with other products and services without having to know how theyre implemented.

MEL or Mule Expression Language is a light-weight mule specific language that can be used to access and evaluate data in the payload.

The advantages of using ESB are:

●   It offers a high level of the operational controlling facility from the portal that is based on the web.
●   ESB provides numerous connectivity options using SaaS-based applications.
●   It provides API and analytics management.
●   ESB is equipped with numerous bug fixing and automated testing facilities.
●   EDI (Electronic Data Interchange)/B2B (business to business) integration.
●   Batch integration feature using real-time integration methods.

Mule transformer is an event instance that refers to a library, org.mule.api.MuleEvent. This object carries the message with the event. The main aim of the Mule transformer is to create a chain of transformers.

Here are some essential features of API:

●   Wider reach
●   Customizable
●   Personalization
●   Data ownership
●   Easy integration with GUI
●   Time effective
●   Language-independent

Different parts of composing a message in Mule are:

●   Payload: It is the main data context carried by a particular message.
●   Multiple name attachments: It provides support for multiple messages or payload that occurs during event processing.

It is a primitive that is used to pass values from request flow to response flow.