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| Section | Weight | Objectives |
|---|---|---|
| Testing and Debugging | 10% | - Write unit tests for Mule applications - Debug Mule applications using Studio - Use mock attributes in tests |
| Building Mule Applications | 32% | - Implement error handling - Configure properties and parameters - Use transformers and DataWeave - Use connectors for common operations (Database, HTTP, Salesforce) - Use the logger component - Create flows using Anypoint Studio |
| 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 |
| Deploying and Managing Applications | 10% | - Deploy applications to CloudHub - Explain application deployment models - Configure deployment options - Describe monitoring and management capabilities |
| Structuring Mule Applications | 10% | - Use properties and configuration values - Reference external configuration files - Organize applications using modular design patterns |
| Designing Mule Applications | 14% | - Implement an API using APIkit - Explain the benefits of API-led connectivity - Define API specs using RAML - Describe the role of API Manager |
| DataWeave Transformation | 14% | - Define and use DataWeave variables and functions - Write DataWeave transformations - Transform complex data structures - Use DataWeave functions and operators |
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NEW QUESTION # 125
What is the minimum Cloudhub worker size that can be specified while deploying muleapplication?
Answer: A
Explanation:
Correct answer is 0.1 vCores
MuleSoft Doc Ref :https://docs.mulesoft.com/runtime-manager/cloudhub-architecture#cloudhub-workers CloudHub Workers Workers are dedicated instances of Mule runtime engine that run your integration applications on CloudHub.
The memory capacity and processing power of a worker depends on how you configure it at the application level.
Worker sizes have different compute, memory, and storage capacities. You can scale workers vertically by selecting one of the available worker sizes:
Table Description automatically generated
NEW QUESTION # 126
Refer to the exhibits. APIKit router is used to generate the flow components for RAML specification.
The Mule application must be available to REST clients using the two URL's
http://localhost:8081/internal
and http://localhost:8081/external
How many APIKit Router components are generated to handle requests to every endpoint defined in RAML specification?
1.Library.raml
2./books
3.get:
4.post:
5./order:
6.get
7.patch
8./members
9.get:
Answer: B
NEW QUESTION # 127
Which keyword do you use to create a new function in DataWeave?
Answer: D
Explanation:
You can define your own DataWeave functionsusing the fun declaration in the header of a DataWeave script.
Sample is as below. ----------------------------------------
%dw 2.0
output application/json
fun toUpper(aString) = upper(aString)
---
toUpper("hello")
MuleSoft Doc Ref : https://docs.mulesoft.com/mule-runtime/4.1/dataweave-functions
NEW QUESTION # 128
Refer to the exhibits.
The Batch Job scope contains two Batch Steps scopes with different accept expression.
The input payload is passed to the Batch Job scope.
After the entire payload is processed by the batch job scope , what messages have been logged by the Logger component?
Answer: C
Explanation:
This question validates you knowledge on Batch Processing. Before we analyze the question , lets revise a bit about batchfilters.
Batch Filters
You can apply one or more filters as attributes to any number of batch steps.Imagine a batch job whose first batch step checks if a Salesforce contact exists for a record, and a second batch step that updates each existing Salesforce contact with new information. You can apply a filter to the second batch step to ensure it only processes records that didn't fail during the first batch step.By having batch steps accept only some records for processing, you streamline the batch job sothe Mule runtime engine can focus only on the relevant data for a particular batch step.
A batch step uses two attributes to filter records:
acceptExpression
acceptPolicy
Each batch step can accept one acceptExpression and one acceptPolicy attributes to filter records.
Use the acceptExpression attribute to process only records that evaluate to true; if the record evaluates to false, the batch step skips the record and sends it to the next one. In other words, the records with an accept expression that resolves to false are the ones that Mule filters out.
The example below filters out all records where the age is less than 21; the batch step does not process those records.
* <batch:jobjobName="batchJob">
* <batch:process-records>
* <batch:stepname="adultsOnlyStep"acceptExpression="#[payload.age >21]">
* ...
* </batch:step>
* </batch:process-records>
* </batch:job>
Mule Ref Doc : Refining Batch StepsProcessing | MuleSoft Documentation
As we are clear with above concepts , now lets understand this solution step by step.
1) Batch Step (Less than 50)
Accept expression for this batch step is less than 50. Hence elements which will go in this batch step are amount value 40 and 2. Hence output of logger in first batch step is
{amount=140}
{amount=102}
2) Batch Step (Greater than 20)
Accept condition for this batch step is greater than 20. Note that input amount values for this batch step are
100 , 140 and102 (last two values have been updated in batch step less than 50) As all values satisfy this condition out put of second logger is
{step2amount=100}
{step2amount=140}
{step2amount=102}
Hence correct answer to this question is
* {amount=140}
* {amount=102}
* {step2amount=100}
* {step2amount=140}
* {step2amount=102}
2) Batch Step (Greater than 20)
Accept condition for this batch step is greater than 20. Note that input amount values for this batch step are
100 , 140 and 102 (last two values have been updated inbatch step less than 50) As all values satisfy this condition out put of second logger is
{step2amount=100}
{step2amount=140}
{step2amount=102}
Hence correct answer to this question is
{amount=140}
{amount=102}
{step2amount=100}
{step2amount=140}
{step2amount=102}
NEW QUESTION # 129
According to Mulesoft, how are Modern APIs treated as?
Answer: D
Explanation:
Correct answer is Products
Modern API has three features 1) Treated as products for easy consumption 2) Discoverable and accessible through self-service 3) Easily managed for security , scalability and performance
NEW QUESTION # 130
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