Mulesoft MCD-Level-1 Exam Questions

229 Questions


Updation Date : 16-Jul-2025



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In the Database On Table Row operation, what does the Watermark column enable the On Table Row operation to do?


A. To avoid duplicate processing of records in a database.


B. To delete the most recent records retrieved from a database to enable database caching


C. To enable duplicate processing of records in a database


D. To save the most recent records retrieved from a database to enable database caching





A.
  To avoid duplicate processing of records in a database.

Explanation:
The correct answer is To avoid duplicate processing of records in a database.
If a watermark column is provided, the values taken from that column are used to filter the contents of the next poll, so that only rows with a greater watermark value are returned. If an ID column is provided, this component automatically verifies that the same row is not picked twice by concurrent polls.

Which Mule component provides a real-time, graphical representation of the APIs and mule applications that are running and discoverable?


A. API Notebook


B. Runtime Manager


C. Anypoint Visualizer


D. API Manager





C.
  Anypoint Visualizer

Explanation:
Correct answer is Anypoint Visualizer
MuleSoft Doc Ref : https://docs.mulesoft.com/visualizer/
Anypoint Visualizer provides a real-time, graphical representation of the APIs, and Mule applications that are running and discoverable. It also displays third-party systems that are invoked by a Mule API, proxy, or application within your application network. The data displayed in the graph is dynamically updated and does not require prior configuration. Additionally, the data displayed is secure, as only users with the proper permissions can view the application network graph.

Refer to the exhibit.

A Mule event is composed of ahierarchy of objects. Where in the hierarchy are variables
stored?


A.

Mule event


B.

Mule message payload


C.

Mule message


D.

Mule message attributes





C.
  

Mule message



Refer to the exhibit.


The main flow contains a Flow Reference for the child flow.
What values are accessible in the child flow after a webclient submits a request to
http://localhost:8Q81/order? color=red?


A.

payload


B.

payload
quantity var


C.

payload
color query param


D.

payload
quantity var color query param





D.
  

payload
quantity var color query param



Where is metadata stored in a Mule project


A. Config.yaml file


B. POM.xml file


C. application-types.xml


D. Global Element





C.
  application-types.xml

Explanation:
Metadata is stored in application-types.xml flle located under src/main/resources.
Mule 4 applications contain an application-types.xml file, which is where metadata around your data types is stored. For example, if you create a new CSV type, that metadata will be added to this file. This new file is easy to share, commit, and merge when conflicts arise, which enables you to do more metadata-driven development.

To avoid hard-coding values, a flow uses some property placeholders and the corresponding values are stored in a configuration file. Where does the configuration file'slocation need to be specified in the Mule application?


A.

The pom.xml file


B.

A global element


C.

The mule-art if act .json file


D.

a flow attribute





B.
  

A global element



What DataWeave expression transforms the array a to the XML output?


A. 1.1. trains:
2.2. {(
3.3. a map ((engId, index) ->
4.4. train: {
5.5. TrainNumber: engId
6.6.
7.7. }
8.8. )
9.9. )}


B. 1.1. trains:
2.2. a map ((engId, index) ->
3.3. train: {
4.4. TrainNumber: engId
5.5.
6.6. }
7.7. )


C. 1.1. {(
2.2. trains:
3.3. a map ((engId, index) ->
4.4. train: {
5.5. TrainNumber: engId
6.6.
7.7. }
8.8. )
9.)}


D. 1.1. {
2.2. trains:
3.3. a map ((engId, index) ->
4.4. train: {
5.5. TrainNumber: engId
6.6.
7.7. }
8.8. )
9.}





A.
  1.1. trains:
2.2. {(
3.3. a map ((engId, index) ->
4.4. train: {
5.5. TrainNumber: engId
6.6.
7.7. }
8.8. )
9.9. )}


Explanation:
For such questions always look for Syntax:
I call it "Wrap the Map" trains:
{(
When mapping array elements (JSON or JAVA) to XML, wrap the map operations in {(..)}
-{ } are defining the object
-( ) are transforming each element in the array as a key/value pair

Following Mulesoft's recommended API-led connectivity approach , an organization has created an application network. The organization now needs to create API's to transform , orchestrate and aggregate the data provided by the other API's in the application network. This API should be flexible enought ot handle the data from additional API's in future. According to Mulesoft's recommended API-led connectivity approach , what is the best layer for this new API?


A. Process layer


B. System layer


C. Experience layer


D. Data layer





A.
  Process layer

Correct answer is process layer as all the orchestration and transformation logic should be in process layer as per Mulesoft's recommended approach for API led connectivity.


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