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| Section | Weight | Objectives |
|---|---|---|
| Designing Mule Applications | 14% | - Define API specs using RAML - Explain the benefits of API-led connectivity - Describe the role of API Manager - Implement an API using APIkit |
| DataWeave Transformation | 14% | - Transform complex data structures - Define and use DataWeave variables and functions - Use DataWeave functions and operators - Write DataWeave transformations |
| MuleSoft Fundamentals | 10% | - Describe the Mule application structure and flow types - Explain what Anypoint Platform is and its components - Describe what Mule applications do and how they are built |
| Building Mule Applications | 32% | - Implement error handling - Use connectors for common operations (Database, HTTP, Salesforce) - Create flows using Anypoint Studio - Use the logger component - Use transformers and DataWeave - Configure properties and parameters |
| Deploying and Managing Applications | 10% | - Deploy applications to CloudHub - Configure deployment options - Describe monitoring and management capabilities - Explain application deployment models |
| Testing and Debugging | 10% | - Use mock attributes in tests - Debug Mule applications using Studio - Write unit tests for Mule applications |
| Structuring Mule Applications | 10% | - Organize applications using modular design patterns - Reference external configuration files - Use properties and configuration values |
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NEW QUESTION # 100
Refer to the exhibits.
In the requestFlow an HTTP Request operation is configured to send an HTTP request with an XML payload.
The request is sent to the HTTP Listener in the transform Flow.
That flow transforms the incoming payload into JSON format and returns the response to the HTTP request.
The response of the request is stored in a target variable named the Result.
What is the payload at the Logger component after the HTTP Request?
Answer: C
NEW QUESTION # 101
What DataWeave expressiontransforms the example XML input to the CSV output?
Answer: D
Explanation:
Correct answer is as below. Attributes in the incoming xml payload are always accessed using @.Similarly
*item is requiredas we have multiple items in the request
%dw 2.0
output application/csv
---
payload.sale.*item map ((value, index) -> {
index: index,
sale: value.@saleId,
itemName: value.desc,
itemPrice: (value.quantity) * (value.price),
item: value.@itemId
} )
NEW QUESTION # 102
A REST connect module is generated for a RAML specification. and then the rest connect module is imported in mule application in Anypoint Studio. For each method of the RAML specification , what does the REST connect module provide?
Answer: A
Explanation:
Correct answer is an operation. For each method of the RAML specification , REST connect module provide an operation.
Please refer to the belowscreenshot.
NEW QUESTION # 103
Where is metadata stored in a Mule project
Answer: B
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 createa 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.
MuleSoft Doc Ref : https://docs.mulesoft.com/mule-runtime/4.3/intro-studio#metadata-storage
NEW QUESTION # 104
A
web client submits a request to http://localhost:8081?accountType=personal. The query parameter is captured using a Set Variable transformer to a variable named accountType.
What is the correct DataWeave expression to log accountType?
Answer: C
Explanation:
vars: Keyword for accessing a variable, for example, through aDataWeave expression in a Mule component, such as the Logger, or from an Input or Output parameter of an operation. If the name of your variable is myVar, you can access it like this: vars.myVar Hence correct answer is Account Type: #[vars.accountType]
NEW QUESTION # 105
......
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