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Salesforce Mule-Dev-201 Exam Syllabus Topics:

Section	Weight	Objectives
Testing and Debugging	10%	- Write unit tests for Mule applications - Use mock attributes in tests - Debug Mule applications using Studio
DataWeave Transformation	14%	- Transform complex data structures - Use DataWeave functions and operators - Write DataWeave transformations - Define and use DataWeave variables and functions
Building Mule Applications	32%	- Use the logger component - Use connectors for common operations (Database, HTTP, Salesforce) - Use transformers and DataWeave - Configure properties and parameters - Create flows using Anypoint Studio - Implement error handling
Structuring Mule Applications	10%	- Reference external configuration files - Use properties and configuration values - Organize applications using modular design patterns
Designing Mule Applications	14%	- Describe the role of API Manager - Explain the benefits of API-led connectivity - Implement an API using APIkit - Define API specs using RAML
Deploying and Managing Applications	10%	- Deploy applications to CloudHub - Explain application deployment models - Configure deployment options - Describe monitoring and management capabilities
MuleSoft Fundamentals	10%	- Describe the Mule application structure and flow types - Describe what Mule applications do and how they are built - Explain what Anypoint Platform is and its components

Salesforce Certified MuleSoft Developer Sample Questions:

Question #1
Refer to the exhibits.

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

A. 1. 1. trains:2. 2.conductorIds map ((engId, index) ->3. 3. train: {4. 4. engineerId: engId5. 5. }6. 6. )
B. 1. 1. {( trains:2. 2.3. 3. conductorIds map ((engId, index) ->4. 4. train: {5. 5. engineerId: engId6. 6. }7.
7. )8. 8. )}
C. 1. 1. { trains:2. 2.3. 3. conductorIds map ((engId, index) ->4. 4. train: {5. 5. engineerId: engId6. 6. }7. 7.
)8. 8. }
D. 1. 1. trains:2. 2. {(3. 3. conductorIds map ((engId, index) ->4. 4. train: {5. 5. engineerId: engId6. 6. }7.
7. )8. 8. )}

Question #2
A flow needs to combine and return data from two different data sources. It contains a Database SELECT operation followed by an HTTP Request operation.
What is the method to capture both payloads so the payload from the second request does not overwrite that from the first?

A. Save the payload from the Database SELECT operation to a variable
B. Nothing, previous payloads are combined into the next payload
C. Put the Database SELECT operation inside a Message Enricher scope
D. Put the Database SELECT operation inside a Cache scope

Question #3
Refer to the exhibit.

The Database Select operation returns five rows from a database. What is logged by the Logger component?

A. "CaselnsensitrveHashMap"
B. "Object"
C. "Array"
D. "LinkedHashMap"

Question #4
A web client sends one GET request to the test flow's HTTP Listener, which causes the test flow to call the updateTemp flow After the test flow returns a response, the web client then sends a different GET request to trie getTemp flow's HTTP Listener The test flow is not called a second time.
What response is returned from the request to the getTemp flow's HTTP Listener?