Pass the Salesforce MuleSoft Salesforce-MuleSoft-Developer-I Questions and answers with ExamsMirror

This is a trcik question. On complete phase pyalod consists of summary of records processed which gives insight on which records failed or passed. Hence option 4 is correct answer

MuleSoft Documentation Reference : https://docs.mulesoft.com/mule-runtime/4.3/batch-processing-concept#on-complete

Correct answer is as below. On complete phase only has access to batch job result statistics and payload is not available.

TotalRecordsProcessed:3

SuccessfulRecords:3

FailedRecords:0

On Complete

During this phase, you can optionally configure the runtime to create a report or summary of the records it processed for the particular batch job instance. This phase exists to give systemadministrators and developers some insight into which records failed to address any issues that might exist with the input data.

Sample output is as below

Mule Ref Doc : https://docs.mulesoft.com/mule-runtime/4.3/batch-processing-concept#on-complete

Mule applications can be scaled vertically by changing worker size. Mule applications can be scaled horizontally by adding more workers.

Setting Breakpoints

To set breakpoints, right-click a building block, then select Toggle Breakpoint.

Studio applies a red dot to the building block’s icon on the canvas.

When you run your application in Debug mode, Studio stops the flow execution at the breakpoint you have set, allowing you to check the Mule Event content in the Mule Debugger View.

Mule Ref Doc : Setting Breakpoints | MuleSoft Documentation

Correct answer is 0.1 vCores

MuleSoft Doc Ref :https://docs.mulesoft.com/runtime-manager/cloudhub-architecture#cloudhub-workers

CloudHub Workers

Workers are dedicated instances of Mule runtime engine that run your integration applications on CloudHub. The memory capacity and processing power of a worker depends on how you configure it at the application level.

Worker sizes have different compute, memory, and storage capacities. You can scale workers vertically by selecting one of the available worker sizes:

Table Description automatically generated

An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. Internally, Mule uses objectstores in various filters, routers, and other message processors that need to store states between messages.

Object stores are available in all deployment targets. If you deploy your application to CloudHub, you can also use Object Store V2.

Correct answer is Key/value pair in Object store

MuleSoft Documentation reference : https://docs.mulesoft.com/mule-runtime/4.3/mule-object-stores#use-cases

Note that private flow has error scope defined as On Error Continue . So when error occurs in private flow , it is handled by this On Error Continue scopewhich sends success response back to main flow and does not throw back an error. So main continues normally and payload is set to Success - main flow.

Hence correct answer is Success - main flow

1) HTTP listener received request

2) The Flow Referencecalls the child flow

3) The Is Number validator creates an Error Object because the payload isn’t an integer. Child Flow execution stops

#[error.description] = “payload is not a valid INTEGER value”

#[error.errorType] = VALIDATION:INVALID_NUMBER

4) The OnError Continue handles the errorThe payload is set to “Error – Sub Flow”

5) “Error – Sub Flow” is returned to the main flow as if the child flow was a success. The Set Payload is executed. The payload is reset to “Success – Finished Main Flow”

6) “Success– Main Flow” is returned to the requestor in the body of the HTTP request. HTTP Status Code: 200

As you can see, in the above example, because the error was caught by an On Error Continue scope in the child flow (RED in, GREEN out) when the Mule Message returns to the parent flow, the parent flow knows none-the-different that there was a failure because the on error continue returns a 200 success message. Note that because, to the mainFlow, the childFlow appeared to succeed, the processing of mainFlow resumed after the flow reference.

A picture containing timeline Description automatically generated

Error in validation component will get processed by Processer level On Error Propagate block and thenerror will be rethrown which will get processed by flow level error handler which will set payload to "Error- main flow". Hence correct answer is Error - main flow

1) Request is received by HTTP listener

2) Try scope gets executed

3) The validator component in the Try scope creates an Error Object because the payload is not null.

4) The On Error Propagate handles the error. The payload is set to “Error – Try scope”

6) “Error – Try scope” is returned to the 'On Error Continue' block. Main flow execution stops. Payload is set to "Error - main flow"

7) “Error - main flow” is returned to the requestor in the body of the HTTP request. HTTP Status Code: 200

------------------------------------------------------------------------------------------------------------------------------------------

Reference Diagram though not exactly same, conditions are similar. They will help you answer any new question on error handling in real exam:

Timeline Description automatically generated

https://docs.mulesoft.com/mule-runtime/4.3/on-error-scope-concept#on-error-continue