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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Structuring Mule Applications | 10% | - Use flows, subflows and flow references - Organize configurations and properties - Manage error handling and scopes |
| Topic 2: Building API Implementations | 10% | - Use connectors to integrate systems - Implement routing and transformation logic - Implement APIs from specifications |
| Topic 3: Data Transformation with DataWeave | 10% | - Write expressions and functions - Handle different data formats - Transform complex data structures |
| Topic 4: Designing APIs | 8% | - Define API specifications with RAML - Use REST API methods and resources - Define parameters, responses and data types |
| Topic 5: Accessing and Modifying Mule Events | 10% | - Use DataWeave for transformation - Access and modify payload, attributes and variables - Enrich events using connectors |
| Topic 6: Testing and Debugging | 10% | - Debug applications using Anypoint Studio - Use mocking and test doubles - Write unit tests with MUnit |
| Topic 7: Creating Application Networks | 7% | - Explain API-led connectivity principles - Describe Anypoint Platform components - Identify application network concepts |
| Topic 8: Error Handling and Transactions | 8% | - Implement transaction management - Configure error handlers - Handle retries and dead-letter queues |
| Topic 9: Security and Governance | 7% | - Apply security policies - Manage access and authentication - Enforce governance standards |
| Topic 10: Deploying and Managing Applications | 10% | - Explain deployment models - Monitor and manage applications - Deploy to CloudHub and on-premises |
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NEW QUESTION # 72
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 # 73
Does a root element required when creating a XML response using Dataweave?
Answer: D
Explanation:
Root element is always required while creating XML response in DataWeave transformation
NEW QUESTION # 74
An organization is beginning to follow Mulesoft's recommendedAPI led connectivity approach to use modern API to support the development and lifecycle of the integration solutions and to close the IT delivery gap.
What distinguishes between how modern API's are organized in a MuleSoft recommended API-led connectivityapproach as compared to other common enterprise integration solutions?
Answer: D
Explanation:
Correct answer is The API interfaces are specified at a granularity intended for developers to consume specific aspect of integration processes
NEW QUESTION # 75
By default, what happens to a file after it is read using an FTP connector Read operation?
Answer: D
Explanation:
File is not updated when FTP read operations is performed.
MuleSoft Doc Ref : https://docs.mulesoft.com/file-connector/1.3/file-read
NEW QUESTION # 76
A Batch Job scope has five batch steps. An event processor throws an error in the second batch step because theinput data is incomplete. What is the default behavior of the batch job after the error is thrown?
Answer: B
Explanation:
In case ofan error , batch job completes in flight steps and stops further processing.
MuleSoft Doc Ref : Handling Errors During Batch Job | MuleSoft Documentation The default is all processing will stop but we can change it by Max Failed Record field.
General -> Max Failed Records: Mule has three options for handling a record-level error: Finish processing, Continue processing and Continue processing until the batch job accumulates a maximum number of failed records. This behavior can be controlled by Max Failed Records.
The default value is Zero which corresponds to Finish processing.
The value -1, corresponds to Continue processing.
The value +ve integer, corresponds to Continue processing until the batch job accumulates a maximum number of failed records
NEW QUESTION # 77
......
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