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MuleSoft Certified Developer - Level 1 (MCD-Level-1) exam is a certification program designed to validate a developer's proficiency in designing, building, testing, and deploying Mule 4 APIs and integrations. MuleSoft Certified Developer - Level 1 (Mule 4) certification program is developed and managed by MuleSoft, a leading provider of integration platform as a service (iPaaS) solutions. The MCD-Level-1 Exam is the first level certification in the MuleSoft certification program and is a prerequisite for other higher-level certifications.

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MuleSoft is a leading technology company that provides integration software for connecting applications, data and devices. MuleSoft's Anypoint Platform is a widely used integration platform that enables organizations to integrate their systems and automate their business processes. The MuleSoft Certified Developer - Level 1 (MCD-Level-1) certification exam is designed to validate the skills and knowledge of developers who work with MuleSoft's Anypoint Platform.

MuleSoft Certified Developer - Level 1 (Mule 4) Sample Questions (Q11-Q16):

NEW QUESTION # 11
Refer to the exhibit.

What can be added to the flow to persist data across different flow executions?

Answer: D


NEW QUESTION # 12
Refer to the exhibit.

The Mule application's connectors are configured with property placeholders whose values are set in the config.yaml file What must be added to the Mule application to link the config.yaml file's values with the property placeholders?

Answer: D


NEW QUESTION # 13
How to import Core (dw::Core) module into your DataWeave scripts?

Answer: C

Explanation:
Correct answer is Not needed as dw::core module is included by default. We don't need to include it explicitly


NEW QUESTION # 14
A mule project contains MySQL database dependency . The project is exported from Anypoint Studio so that it can be deployed to Cloudhub. What export options needs to be selected to create the smallest deployable archive that will successfully deploy to Cloudhub?

Answer: D

Explanation:
You can choose Attach Project Sources to include metadata that Studio requires to reimport the deployable file as an open Mule project into your workspace. You must keep the Attach Project Sources option selected to be able to import the packaged JAR file back into a Studio workspace. But requirement here is to create smallest deployable archive that will successfully deploy to Cloudhub. Hence we can ignore this option.
We need to select Include project module and dependencies
As actual modules and external dependencies required to run the Mule application in a Mule runtime engine Hence correct answer is Select only below option 2) Include project module and dependencies MuleSoft Doc Ref :
https://docs.mulesoft.com/studio/7.5/import-export-packages#exporting-a-studio-project-to-a-deployable-mule-a


NEW QUESTION # 15
What is the correct syntax to define and call a function in Database?

Answer: A

Explanation:
Keyword to ad function in Dataweave transformation is fun. Hence option 2 and 4 are invalid. Also parameters needs to be passed exactly in same order as defined in function definition. Hence correct answer is' fun addKV( object: Object, key: String, value: Any) = object ++ {(key):(value)}
---
addKV ( {"hello': "world"}, "hola", "mundo" )
MuleSoft Documentation Reference : https://docs.mulesoft.com/mule-runtime/4.3/dataweave-functions DataWeave Function Definition Syntax To define a function in DataWeave use the following syntax:
fun myFunction(param1, param2, ...) = <code to execute>
The fun keyword starts the definition of a function.
myFunction is the name you define for the function.
Function names must be valid identifiers.
(param1, param2, ... , paramn) represents the parameters that your function accepts.
You can specify from zero to any number of parameters, separated by commas (,) and enclosed in parentheses.
The = sign marks the beginning of the code block to execute when the function is called.
<code to execute> represents the actual code that you define for your function.


NEW QUESTION # 16
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