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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploying and Managing Applications | 10% | - Configure deployment options - Explain application deployment models - Describe monitoring and management capabilities - Deploy applications to CloudHub |
| Topic 2: Building Mule Applications | 32% | - Use the logger component - Implement error handling - Use transformers and DataWeave - Use connectors for common operations (Database, HTTP, Salesforce) - Configure properties and parameters - Create flows using Anypoint Studio |
| Topic 3: MuleSoft Fundamentals | 10% | - Describe what Mule applications do and how they are built - Explain what Anypoint Platform is and its components - Describe the Mule application structure and flow types |
| Topic 4: DataWeave Transformation | 14% | - Define and use DataWeave variables and functions - Use DataWeave functions and operators - Transform complex data structures - Write DataWeave transformations |
| Topic 5: Testing and Debugging | 10% | - Debug Mule applications using Studio - Write unit tests for Mule applications - Use mock attributes in tests |
| Topic 6: Designing Mule Applications | 14% | - Describe the role of API Manager - Define API specs using RAML - Explain the benefits of API-led connectivity - Implement an API using APIkit |
| Topic 7: Structuring Mule Applications | 10% | - Reference external configuration files - Organize applications using modular design patterns - Use properties and configuration values |
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NEW QUESTION # 115
Refer to the exhibits.
A
web client submits a request to http://localhQst:8081. What is the structure of the payload at the end of the flow?
Answer: A
Explanation:
Scatter-Gather Router
The Scatter-Gather component is arouting event processor that processes a Mule event through different parallel processing routes that contain different event processors. Each route receives a reference to the Mule event and executes a sequence of one or more event processors. Each of these routes uses a separate thread to execute the event processors, and the resulting Mule event can be either the same Mule event without modifications or a new Mule event with its own payload, attributes, and variables. The Scatter-Gather component then combines the Mule events returned by each processing route into a new Mule event that is passed to the next event processor only after every route completes successfully.
The Scatter-Gather component executes each route in parallel, not sequentially. Parallel execution of routes can greatly increase the efficiency of your Mule application and may provide more information than sequential processing.
Mule Ref Doc : https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept
NEW QUESTION # 116
A Database On Table Row listener retrieves data from a CUSTOMER table that contains a primary key userjd column and an increasing kxjin_date_time column. Neither column allows duplicate values.
How should the listener be configured so it retrieves each row at most one time?
Answer: A
Explanation:
* Watermark allows the poll scope to poll for new resources instead of getting the same resource over and over again.
* The database table must be ordered so that the"watermark functionality" can move effectively in the ordered list. Watermark stores the current/last picked up "record id."
* If the Mule application is shut down, it will store the last picked up "record id" in the Java Object Store and the data will continue to exist in the file. This watermark functionality is valuable and enables developers to have increased transparency.
* Developers do not need to create code to handle caching; it is all configurable!
* There are two columns and both are unique butuser_id can't guaranty sequence whereas date_time will always be in increasing order and table content can easily be ordered on the basis of last processed date_time.
So correct answer is: Set the watermark column to the date_time column
NEW QUESTION # 117
Refer to the exhibits.
The Validation component in the private flow throws an error. What response message is returnedto a client request to the main flow's HTTP Listener?
Answer: B
Explanation:
Error in validation component will get processed by Processer level On Error Propagate block and thenerror will be rethrown which will get processed by flow level error handler which will set payload to "Error- main flow". Hence correct answer is Error - main flow
1) Request is received by HTTP listener
2) Try scope gets executed
3) The validator component in the Try scope creates an Error Object because the payload is not null.
4) The On Error Propagate handles the error. The payload is set to "Error - Try scope"
6) "Error - Try scope" is returned to the 'On Error Continue' block. Main flow execution stops. Payload is set to "Error - main flow"
7) "Error - main flow" is returned to the requestor in the body of the HTTP request. HTTP Status Code: 200
---------------------------------------------------------------------------------------------------------------------------------------- Reference Diagram though not exactly same, conditions are similar. They will help you answer any new question on error handling in real exam:
Timeline Description automatically generated
https://docs.mulesoft.com/mule-runtime/4.3/on-error-scope-concept#on-error-continue
NEW QUESTION # 118
Refer to the exhibits.
The main flow contains a Flow Reference to the child flow.
A web client sends a GET request to the main flow's HTTP Listener that includes a make query parameter.
What values are accessible in the child flow?
Answer: C
NEW QUESTION # 119
Mule application contains ActiveMQ JMS dependency. Mule application was compiled and run successfully in Anypoint Studio. The mule application must now beexported from Anypoint Studio and shared with other developer. What export options should be selected to create the smallest JAR file that can be imported into other developer's Anypoint Studio and run successfully?
Answer: A
Explanation:
Correct answer is Select only Attach Project Sources only
You must keep the Attach Project Sources option selected to be able to import the packaged JAR file back into a Studio workspace.
Deselect the Include project modules and dependencies option.
This option skips bundling the actual modules and external dependencies required to run the Mule application in a Mule runtime engine, creating a lightweight JAR file package that does not include any dependencies specified in the Mule application's pom.xml file.
The generated JAR file is not a functional deployable archive and cannot be deployed to a Mule runtime engine, but instead offers a way to archive only the source files that make up the Mule application. This is the same as using the -lightWeightPackage flag when packaging using the Mule Maven Plugin and is useful if you want to distribute your project to other Studio installations because it only keeps a reference to all its dependencies. When you import a lightweight package into Studio, all your dependencies are automatically downloaded MuleSoft Doc Ref : https://docs.mulesoft.com/studio/7.8/import-export-packages
NEW QUESTION # 120
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