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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Accessing and Modifying Mule Events | 10% | - Enrich events using connectors - Use DataWeave for transformation - Access and modify payload, attributes and variables |
| Topic 2: Data Transformation with DataWeave | 10% | - Transform complex data structures - Write expressions and functions - Handle different data formats |
| Topic 3: Creating Application Networks | 7% | - Explain API-led connectivity principles - Describe Anypoint Platform components - Identify application network concepts |
| Topic 4: Error Handling and Transactions | 8% | - Implement transaction management - Configure error handlers - Handle retries and dead-letter queues |
| Topic 5: Designing APIs | 8% | - Define API specifications with RAML - Define parameters, responses and data types - Use REST API methods and resources |
| Topic 6: Testing and Debugging | 10% | - Use mocking and test doubles - Write unit tests with MUnit - Debug applications using Anypoint Studio |
| Topic 7: Security and Governance | 7% | - Manage access and authentication - Apply security policies - Enforce governance standards |
| Topic 8: Structuring Mule Applications | 10% | - Manage error handling and scopes - Use flows, subflows and flow references - Organize configurations and properties |
| Topic 9: Building API Implementations | 10% | - Implement APIs from specifications - Implement routing and transformation logic - Use connectors to integrate systems |
| Topic 10: Deploying and Managing Applications | 10% | - Deploy to CloudHub and on-premises - Monitor and manage applications - Explain deployment models |
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NEW QUESTION # 116
What is not true about application properties?
Answer: D
Explanation:
Application properties can be defined in .yaml or in .properties file.
MuleSoft Doc Ref :https://docs.mulesoft.com/mule-runtime/4.3/configuring-properties#supported_files
NEW QUESTION # 117
Refer to the exhibit. What is the output of logger component?
Answer: B
Explanation:
Database always return rows as an array.
Array is the correct answer
NEW QUESTION # 118
What is the minimum Cloudhub worker size that can be specified while deploying muleapplication?
Answer: D
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 # 119
Refer to the exhibits.
The mule application implements a REST API that accepts GET request from two URL's which are as follows
1)http://acme.com/order/status
2)
http://acme.com/customer/status
What path value should be set in HTTP listener configuration so that requests can be accepted for both these URL's using a single HTTP listener event source?
Answer: D
Explanation:
Correct answer is */status as it is the correct way to use wildcards while configuring path value in HTTP listener
NEW QUESTION # 120
What is the difference between a subflow and a sync flow?
Answer: A
Explanation:
Correct answer is Subflow has no error handling implementation where as sync flow has.
Subflow
A subflow processes messages synchronously (relative to the flowthat triggered its execution) and always inherits both the processing strategy and exception strategy employed by the triggering flow. While a subflow is running, processing on the triggering flow pauses, then resumes only after the subflow completes its processing and hands the message back to the triggering flow.
Synchronous Flow
A synchronous flow, like a subflow, processes messages synchronously (relative to the flow that triggered its execution). While a synchronous flow is running, processing on the triggering flow pauses, then resumes only after the synchronous flow completes its processing and hands the message back to the triggering flow.
However, unlike a subflow, this type of flow does not inherit processing or exception strategies from the triggering flow.
This type of flow processes messages along a single thread, which is ideally suited to transactional processing
NEW QUESTION # 121
......
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