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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing, Debugging & Deployment | 15% | - Application deployment to CloudHub - Debugging in Anypoint Studio - Deployment best practices |
| Topic 2: Error Handling & Logging | 15% | - Custom error handlers - Logging and monitoring - Default error handling |
| Topic 3: Mule Application Development | 25% | - Connectors and transports - Properties and configuration - Flow construction and components |
| Topic 4: API Design & Implementation | 15% | - RESTful interface implementation - RAML-based API definition - APIkit usage |
| Topic 5: DataWeave Transformations | 20% | - DataWeave syntax and expressions - Data format conversion - Payload and attribute manipulation |
| Topic 6: MuleSoft Fundamentals & Anypoint Platform | 10% | - API-led connectivity concepts - Anypoint Platform architecture and components - API lifecycle management |
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NEW QUESTION # 26
Refer to the exhibit.
The error occurs when a project is run in Anypoint Studio. The project, which has a dependency that is not in the MuleSoft Maven repository, was created and successfully run on a different computer.
What is the next step to fix the error to get the project to run successfully?
Answer: D
NEW QUESTION # 27
Refer to the exhibits.
The two Mule configuration files belong to the same Mule project. Each HTTP Listener is configured with the same host string and the port number, path, and operation values are shown in the display names.
What is the minimum number of global elements that must be defined to support all these HTTP Listeners?
Answer: D
NEW QUESTION # 28
Refer to the exhibits. A web client sends a POST request to the HTTP Listener and the Validation component in the Try scope throws an error.
What response message is returned to the web client?
Answer: D
Explanation:
NEW QUESTION # 29
Refer to the exhibit.
What should be changed to fix the 415 error?
Answer: D
Explanation:
The HTTP 415 Unsupported Media Type client error response code indicates that the server refuses to accept the request because the payload format is in an unsupported format. The format problem might be due to the request's indicated Content-Type or Content-Encoding , or as a result of inspecting the data directly. In this case as per RAML specification data is expected in application/json and in request Content-Type is set as "text/plain" which is incorrect. Hence solution is set the request Content-Type header to application/json
NEW QUESTION # 30
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 batch filters.
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 so the 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:job jobName="batchJob">
* <batch:process-records >
* <batch:step name="adultsOnlyStep" acceptExpression="#[payload.age > 21]">
* ...
* </batch:step>
* </batch:process-records>
* </batch:job>
Mule Ref Doc : Refining Batch Steps Processing | 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 and 102 (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 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}
NEW QUESTION # 31
......
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