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MuleSoft MCD-Level-2 Exam Sample Questions


Question # 1

A Mule application includes a subflow containing a Scatter.Gather scope. Within each log of the Scatter.Gatter. an HTTP connector calls a PUT endpoint to modify records in different upstream system. The subflow is called inside an Unit successful scope to retry if a transitory exception is raised. A technical spike is being performed to increase reliability of the Mule application. Which steps should be performed within the Mule flow above the ensure idempontent behavior?

A.

Change the PUT requests inside the Scatter-Gather to POST requests

B.

Ensure an error-handling flow performs corrective actions to roll back all changes if any leg of the Scatter-Gather fails

C.

Remove the Put requests from the Scatter-Getter and perform them sequentially

D.

None, the flow already exhibits idempotent behavior



B.

Ensure an error-handling flow performs corrective actions to roll back all changes if any leg of the Scatter-Gather fails


To ensure idempotent behavior within a Mule flow that contains a subflow with a Scatter-Gather scope, the developer should ensure an error-handling flow performs corrective actions to roll back all changes if any leg of the Scatter-Gather fails. Idempotency means that multiple identical requests have the same effect as a single request. Therefore, if one of the HTTP requests inside the Scatter-Gather fails, the error-handling flow should undo any changes made by other successful requests to ensure consistency and avoid partial updates.

References:
https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept
https://docs.mulesoft.com/mule-runtime/4.3/error-handling





Question # 2

A Mule implementation uses a HTTP Request within an Unit Successful scope to connect to an API. How should a permanent error response like HTTP:UNAUTHORIZED be handle inside Until Successful to reduce latency?

A.

Configure retrying until a MULERETRY_EXHAUSTED error is raised or the API responds back with a successful response.

B.

In Until Successful configuration, set the retry count to 1 for error type HTTP: UNAUTHORIZED.

C.

Put the HTTP Request inside a try scope in Unit Successful.
In the error handler, use On Error Continue to catch permanent errors like HTTP UNAUTHORIZED.

D.

Put the HTTP Request inside a try scope in Unit Successful.
In the error handler, use On Error Propagate to catch permanent errors like HTTP UNAUTHORIZED.



C.

Put the HTTP Request inside a try scope in Unit Successful.
In the error handler, use On Error Continue to catch permanent errors like HTTP UNAUTHORIZED.


Explanation:
To handle a permanent error response like HTTP:UNAUTHORIZED inside Until Successful, the developer should put the HTTP Request inside a try scope in Unit Successful, and use On Error Continue to catch permanent errors like HTTP UNAUTHORIZED in the error handler. This way, the developer can avoid retrying requests that will always fail due to a permanent error, and reduce latency. On Error Continue allows the flow to continue processing after handling the error.

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





Question # 3

What is the MuleSoft recommended method to encrypt sensitive property data?

A.

The encryption key and sensitive data should be different for each environment

B.

The encryption key should be identical for all environments

C.

The encryption key should be identical for all environments and the sensitive data should be different for each environment

D.

The encryption key should be different for each environment and the sensitive data should be the same for all environments



A.

The encryption key and sensitive data should be different for each environment


Explanation:
The MuleSoft recommended method to encrypt sensitive property data is to use the Secure Properties Tool that comes with Anypoint Studio. This tool allows encrypting properties files with a secret key and then decrypting them at runtime using the same key. The encryption key and sensitive data should be different for each environment to ensure security and avoid accidental exposure of sensitive data. 

References:
https://docs.mulesoft.com/mule-runtime/4.3/secure-configuration-properties





Question # 4

Which configurations are required for HTTP Listener to enable mTLS authentication?

A.

Set an appropriate reconnection strategy and use persistent connections for the listener

B.

Set an appropriate keystore configuration and use persistent connections for the listener

C.

Set an appropriate keystore and truststore configuration for the listener

D.

Set an appropriate truststore configuration and reconnection strategy for the listener



C.

Set an appropriate keystore and truststore configuration for the listener


To enable mTLS authentication for HTTP Listener, the developer needs to set an appropriate keystore and truststore configuration for the listener. The keystore contains the certificate and private key of the Mule application that are used to prove its identity to clients. The truststore contains the certificates of trusted clients that are allowed to access the Mule application.

References:
https://docs.mulesoft.com/mule-runtime/4.3/tls-configuration#mutual-authentication





Question # 5

A Mule API receives a JSON payload and updates the target system with the payload. The developer uses JSON schemas to ensure the data is valid.
How can the data be validation before posting to the target system?

A.

Use a DataWeave 2.09 transform operation, and at the log of the DataWeave script, add:
%dw 2.0
Import.json-moduls

B.

Using the DataWeave if Else condition test the values of the payload against the examples included in the schema

C.

Apply the JSON Schema policy in API Manager and reference the correct schema in the policy configuration

D.

Add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema



D.

Add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema


To validate the data before posting to the target system, the developer should add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema. The JSON module provides a validate-schema operation that validates a JSON payload against a JSON schema and throws an error if the payload is invalid. 

References:
https://docs.mulesoft.com/json-module/1.1/json-validate-schema




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