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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: MuleSoft Fundamentals | 10% | - Explain what Anypoint Platform is and its components - Describe the Mule application structure and flow types - Describe what Mule applications do and how they are built |
| Topic 2: DataWeave Transformation | 14% | - Write DataWeave transformations - Transform complex data structures - Use DataWeave functions and operators - Define and use DataWeave variables and functions |
| Topic 3: Building Mule Applications | 32% | - Implement error handling - Configure properties and parameters - Create flows using Anypoint Studio - Use transformers and DataWeave - Use the logger component - Use connectors for common operations (Database, HTTP, Salesforce) |
| Topic 4: Designing Mule Applications | 14% | - Explain the benefits of API-led connectivity - Describe the role of API Manager - Define API specs using RAML - Implement an API using APIkit |
| Topic 5: Structuring Mule Applications | 10% | - Use properties and configuration values - Organize applications using modular design patterns - Reference external configuration files |
| Topic 6: Deploying and Managing Applications | 10% | - Describe monitoring and management capabilities - Deploy applications to CloudHub - Configure deployment options - Explain application deployment models |
| Topic 7: Testing and Debugging | 10% | - Use mock attributes in tests - Write unit tests for Mule applications - Debug Mule applications using Studio |
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問題 #204
A company has defined two RAML fragments, Book Data Type and Book Example to be used in APIs.
What would be valid RAML to use these fragments ?
答案：C
解題說明：
*RAML file contains lot of information that could be considered as "not API-describing". Sort of "economy- class" members.
Equally important, but not necessarily part of the main RAML file.
* Through !includes, RAML allows us to build file-distributed API definitions, which is not only useful to encourage code reuse but also improves readability.
* We can create RAML fragments with such code and then include them in main RAML project using !
include like:
types:
Book: !include bookDataType.raml and
examples:
input: !include bookExample.raml
* Additionally for
---------------------------------------------------------------------------------------------------------------------------------------- Reference: INCLUDES section underhttps://medium.com/raml-api/raml-101-libraries-and-datatypes- fragments-1889b2e82c27
問題 #205
Refer to the exhibit.
What is a valid expression for the Choice router's when expression to route events to the documenticShipping flow?
答案：B
解題說明：
Choice Router
The Choice router dynamically routes messages through a flow according to a set of DataWeave expressions that evaluate message content. Each expression is associated with a different routingoption. The effect is to add conditional processing to a flow, similar to an if/then/else code block in most programming languages.
Only one of the routes in the Choice router executes, meaning that the first expression that evaluates to true triggers thatroute's execution and the others are not checked. If none of the expressions are true, then the default route executes.
Properties of <when>
PropertyDescription
Expression (expression)
Expression in DataWeave language to evaluate input.If the expressionevaluates to true, this routing option is used:
* <whenexpression="#[vars.language == 'Spanish']">
Mulesoft Doc Ref : https://docs.mulesoft.com/mule-runtime/4.3/choice-router-concept With respect to above information , Option 1 is the correct syntax as others are incorrect because of below reasons
* Single = is not the correct syntax to validate the condition. It should be ==
* If keyword is not required in when condition.
問題 #206
Which of the following is invalid type of event processor which can be used as a router ?
答案：D
解題說明：
Pick First is not valid type. Rest all are valid type of event processor.
Choice : https://docs.mulesoft.com/mule-runtime/4.3/choice-router-concept Round Robin : https://docs.mulesoft.com/mule-runtime/4.3/round-robin First Successful : https://docs.mulesoft.com/mule-runtime/4.3/first-successful
問題 #207
What is output of Dataweave flatten function?
答案：B
解題說明：
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 ]
問題 #208
Refer to the exhibit. The Batch Job processes, filters and aggregates records, What is the expected output from the Logger component?
答案：B
解題說明：
*Batch scope has filter criteria which says paylod mod 2 = 0 whch means only 2, 4 and 6 will be in batch scope.
* So payload for each of these will be incremented by 10.
* Aggregator has batch size defined as 2. So it will process in batch of two records.
* Hence option 3 is correct answer.
[20,40]
[60]
Behavior with aggregator configured with fixed size
In this scenario, the batch step sends the processed records to an aggregator, which starts processing the records and buffering them until the configuredaggregator's size is reached. After that, the aggregator sends the aggregated records to the stepping queue.
Diagram Description automatically generated
The batch job builds record blocks of the configured block size and sends them to their corresponding batch step for processing. Each batch stepreceives one or more record blocks and starts processing them in parallel.
After the batch step processes a record, the batch step sends the record to the aggregator for further processing. The aggregator continues processing records until the number of aggregated records reaches the configured aggregator's size.
https://docs.mulesoft.com/mule-runtime/4.3/batch-processing-concept
問題 #209
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