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| Section | Weight | Objectives |
|---|---|---|
| DataWeave Transformation | 14% | - Write DataWeave transformations - Transform complex data structures - Use DataWeave functions and operators - Define and use DataWeave variables and functions |
| 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 |
| Structuring Mule Applications | 10% | - Use properties and configuration values - Organize applications using modular design patterns - Reference external configuration files |
| Designing Mule Applications | 14% | - Define API specs using RAML - Implement an API using APIkit - Describe the role of API Manager - Explain the benefits of API-led connectivity |
| Testing and Debugging | 10% | - Write unit tests for Mule applications - Use mock attributes in tests - Debug Mule applications using Studio |
| Deploying and Managing Applications | 10% | - Deploy applications to CloudHub - Explain application deployment models - Describe monitoring and management capabilities - Configure deployment options |
| Building Mule Applications | 32% | - Use the logger component - Create flows using Anypoint Studio - Implement error handling - Configure properties and parameters - Use transformers and DataWeave - Use connectors for common operations (Database, HTTP, Salesforce) |
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質問 # 113
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?
正解：C
解説：
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}
質問 # 114
Which of the below is not the mandatory configurations for HTTP Listener?
正解：B
解説：
Allowed methods is an optional configuration. If nothing is specified then all HTTP methods are supported.
Rest all are mandatory.
質問 # 115
What valid RAML retrieves details on a specific by its orderld as a URL parameter?
正解：B
質問 # 116
Refer to the exhibits.
The input array of strings is processed by the batch job that processes, fitters, and aggregates the values.
What is the last message logged by the Logger component after thebatch job completes processing?
正解：D
質問 # 117
In the Database On Table Row operation, what does the Watermark column enable the On Table Row operation to do?
正解：D
解説：
The correct answer is To avoid duplicate processing of records in a database.
If a watermark column is provided, the values taken from that column are used to filter the contents of the next poll, so that only rows with a greater watermark value are returned. If an ID column is provided, this component automatically verifies that the same row is not picked twice by concurrent polls.
Mule doc reference : https://docs.mulesoft.com/db-connector/1.8/database-documentation#listener
質問 # 118
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