MuleSoft MCIA-Level-1 Exam With Confidence Using Practice Dumps

Explanation

Correct answer is Use a Batch job scope to bulk insert records into the database

* Batch Job is most efficient way to manage millions of records.

A few points to note here are as follows :

Reliability: If you want reliabilty while processing the records, i.e should the processing survive a runtime crash or other unhappy scenarios, and when restarted process all the remaining records, if yes then go for batch as it uses persistent queues.

Error Handling: In Parallel for each an error in a particular route will stop processing the remaining records in that route and in such case you'd need to handle it using on error continue, batch process does not stop during such error instead you can have a step for failures and have a dedicated handling in it.

Memory footprint: Since question said that there are millions of records to process, parallel for each will aggregate all the processed records at the end and can possibly cause Out Of Memory.

Batch job instead provides a BatchResult in the on complete phase where you can get the count of failures and success. For huge file processing if order is not a concern definitely go ahead with Batch Job

Explanation

* An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval.

* Mule provides two types of object stores:

1) In-memory store – stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime.

2) Persistent store – Mule persists data when an object store is explicitly configured to be persistent.

In a standalone Mule runtime, Mule creates a default persistent store in the file system. If you do not specify an object store, the default persistent object store is used.

MuleSoft Reference:

Explanation

* Clustering is a group of servers or mule runtime which acts as a single unit.

* Mulesoft Enterprise Edition supports scalable clustering to provide high availability for the Mulesoft application.

* In simple terms, virtual servers composed of multiple nodes and they communicate and share information through a distributed shared memory grid.

* By default, Mulesoft ensures the High availability of applications if clustering implemented.

* Let's consider the scenario one of the nodes in cluster crashed or goes down and under maintenance. In such cases, Mulesoft will ensure that requests are processed by other nodes in the cluster. Mulesoft clustering also ensures that the request is load balanced between all the nodes in a cluster.

* Clustering is only supported by on-premise Mule runtime and it is not supported in Cloudhub.

Correct answer is External monitoring tools or log aggregators must be configured to recognize the new nodes

* Rest of the options are automatically taken care of when a new node is added in cluster.