Free MCIA-Level-1 MuleSoft Updates

* Each Batch Job uses SEVERAL THREADS for the Batch Steps

* Each Batch Step instance receives ONE record at a time as the payload. It's not received in a block, as it does not wait for multiple records to be completed before moving to next batch step. (So Option D is out of choice)

* RECORDS are processed IN PARALLEL within and between the two Batch Steps.

* RECORDS are not processed in order. Let's say if second record completes batch_step_1 before record 1, then it moves to batch_step_2 before record 1. (So option C and D are out of choice)

* A batch job is the scope element in an application in which Mule processes a message payload as a batch of records. The term batch job is inclusive of all three phases of processing: Load and Dispatch, Process, and On Complete.

* A batch job instance is an occurrence in a Mule application whenever a Mule flow executes a batch job. Mule creates the batch job instance in the Load and Dispatch phase. Every batch job instance is identified internally using a unique String known as batch job instance id.

After completing the build and test activities for a Mule application that implements a System API, the team should use Runtime Manager to both deploy and monitor the System API implementation. Runtime Manager is a component of Anypoint Platform that provides capabilities for deploying, managing, and monitoring Mule applications and APIs. It allows teams to manage applications and APIs across various environments, ensuring they operate correctly and efficiently.

References:

• Anypoint Runtime Manager
• Deploying and Managing Applications with Runtime Manager

Explanation

* To send message or receive JMS (Java Message Service) message no separate network connection need to be established. So option A, C and D are ruled out.

Correct Answer: The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider.

* JMS Connector enables sending and receiving messages to queues and topics for any message service that implements the JMS specification.

* JMS is a widely used API for message-oriented middleware.

* It enables the communication between different components of a distributed application to be loosely coupled, reliable, and asynchronous.

MuleSoft Doc Reference: https://docs.mulesoft.com/jms-connector/1.7/

Diagram, text Description automatically generated

To track the entire lifecycle of each request across different microservices, the DevOps team should consider adopting tracing. Distributed tracing allows teams to follow a request as it travels through the various microservices, providing visibility into how long each part of the request lifecycle takes and where any bottlenecks or failures occur. Tools like Zipkin, Jaeger, and AWS X-Ray are commonly used for this purpose. Tracing complements metrics and logging by providing detailed insights into the interactions and dependencies between services.

References:

• Distributed Tracing in Microservices
• What is Distributed Tracing?