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Salesforce Mule-Dev-201 Exam Syllabus Topics:

SectionWeightObjectives
Data Transformation with DataWeave10%- Write expressions and functions
- Handle different data formats
- Transform complex data structures
Structuring Mule Applications10%- Use flows, subflows and flow references
- Organize configurations and properties
- Manage error handling and scopes
Testing and Debugging10%- Use mocking and test doubles
- Debug applications using Anypoint Studio
- Write unit tests with MUnit
Accessing and Modifying Mule Events10%- Enrich events using connectors
- Access and modify payload, attributes and variables
- Use DataWeave for transformation
Security and Governance7%- Enforce governance standards
- Apply security policies
- Manage access and authentication
Creating Application Networks7%- Describe Anypoint Platform components
- Explain API-led connectivity principles
- Identify application network concepts
Deploying and Managing Applications10%- Monitor and manage applications
- Explain deployment models
- Deploy to CloudHub and on-premises
Error Handling and Transactions8%- Implement transaction management
- Handle retries and dead-letter queues
- Configure error handlers
Building API Implementations10%- Implement APIs from specifications
- Use connectors to integrate systems
- Implement routing and transformation logic
Designing APIs8%- Define API specifications with RAML
- Define parameters, responses and data types
- Use REST API methods and resources

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Mule-Dev-201 Questions | Mule-Dev-201 Braindumps Downloads

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Salesforce Certified MuleSoft Developer Sample Questions (Q202-Q207):

NEW QUESTION # 202
Refer to the exhibits. The webClient flow sends requests to the mockServer Row's HTTP Listener.
An HTTP: METHOD_NOT ALLOWED error is thrown each time the webClient flowexecutes.
What attribute value must be changed in the webClient flow's HTTP Request operation to prevent this error from being thrown?

Answer: C


NEW QUESTION # 203
Where are values of query parameters stored in the Mule event by the HTTP Listener?

Answer: D

Explanation:
Correct answer is Attributes.
Query parameters , URI parameters and headers are some of examples which are part of attributes.
Diagram Description automatically generated

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NEW QUESTION # 204
Refer to the exhibits.

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

Answer: A

Explanation:
Points toremember:
* XML must have a root element.
* XML only allows one root element
* To avoid multiple root issues, you must create a root element for the XML output, whenever we transform output
* When mapping array elements (JSON or JAVA) to XML, wrap the mapoperations in {(..)}
-{ } are defining the object
( ) are transforming each element in the array as a key/value pair
* The transformation to XML would fail if the above mentioned considerations were not taken into account.
* Thus the transformation scriptdeclares a root element as trains and wraps the data in "{( )}".
Whenever you see such type of question, always look out for root element followed by {( )} wrapping map.
I call this a "Wrap The Map" scenario. Hope it would help you remember !


NEW QUESTION # 205
A Scatter-Gather processes three separate HTTP requests. Each request returns a Mule event with a JSON payload. What is the final output of the Scatter-Gather?

Answer: D

Explanation:
Correct answer is An Object containing all three Mule event Objects
The Scatter-Gather component is a routing event processor that processes a Mule event through different parallel processing routes that contain different event processors. Each route receives a reference to the Mule event and executes a sequence of one or more event processors. Each of these routes uses a separate thread to execute the event processors, and the resulting Mule event can be either the same Mule event without modifications or a new Mule event with its own payload, attributes, and variables. The Scatter-Gather componentthen combines the Mule events returned by each processingroute into a new Mule event that is passed to the next event processor only after every route completes successfully.
The Scatter-Gather component executes each route in parallel, not sequentially.Parallel execution of routes can greatly increase the efficiency of your Mule application and may provide more information than sequential processing.
Sample output is as below
Table Description automatically generated with low confidence

MuleSoft Documentation reference :https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept


NEW QUESTION # 206
What is output of Dataweave flatten function?

Answer: B

Explanation:
Correct answer isArray.
Flatten turns a set of subarrays (such as [ [1,2,3], [4,5,[6]], [], [null] ]) into a single, flattened array (such as [
1, 2, 3, 4, 5, [6], null ]).
This example defines three arrays of numbers, creates another array containing those three arrays, and then uses the flatten function to convert the array of arrays into a single array with all values.
Source
%dw 2.0
output application/json
var array1 = [1,2,3]
var array2 = [4,5,6]
var array3 = [7,8,9]
var arrayOfArrays = [array1, array2, array3]
---
flatten(arrayOfArrays)
Output
[ 1,2,3,4,5,6,7,8,9 ]


NEW QUESTION # 207
......

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