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| Section | Weight | Objectives |
|---|---|---|
| Secure Data at Rest and in Transit | 20% | - Implement security best practices
|
| Implement Monitorable Mule Applications | 15% | - Implement monitoring and logging
|
| Expose Production-Ready Anypoint Platform Managed APIs | 13% | - Manage APIs with Anypoint Platform
|
| Implement Maintainable and Modular Mule Applications and Their Maven Builds | 25% | - Implement modular Mule application structures
|
| Implement Performant and Reliable Mule Applications | 27% | - Optimize reliability and performance
|
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NEW QUESTION # 28
A Mule API receives a JSON payload and updates the target system with the payload. The developer uses JSON schemas to ensure the data is valid.
How can the data be validation before posting to the target system?
Answer: A
Explanation:
To validate the data before posting to the target system, the developer should add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema. The JSON module provides a validate-schema operation that validates a JSON payload against a JSON schema and throws an error if the payload is invalid. Reference: https://docs.mulesoft.com/json-module/1.1/json-validate-schema
NEW QUESTION # 29
A Mule application deployed to a standalone Mule runtime uses VM queues to publish messages to be consumed asynchronously by another flow.
In the case of a system failure, what will happen to in-flight messages in the VM queues that have not been consumed?
Answer: B
Explanation:
VM Connector supports both transient and persistent asynchronous queues, and their recovery behavior differs fundamentally. MuleSoft specifies that transient queues provide better performance but are not reliable when the runtime or host fails. Persistent queues are slower because their content must be persisted, but they provide recovery across failures.
For a standalone Mule runtime, persistent VM queues serialize and store queued message data on disk.
Consequently, if the Mule runtime or underlying system stops before an in-flight queued message is consumed, the message can remain available and processing can resume after the runtime becomes operational again.
A transient queue stores its queued state in volatile runtime memory. A system failure destroys that state, so an unconsumed transient message cannot be assumed to survive restart.
Therefore, neither "all messages are lost" nor "all messages are recovered" accurately describes VM behavior; durability depends specifically on the queue type.
For workloads where asynchronous events must survive process or host failure in a supported standalone runtime architecture, a persistent VM queue is therefore the appropriate choice.
Reference topics: VM Connector; persistent queues; transient queues; asynchronous messaging; durability and recovery.
Official documentation: https://docs.mulesoft.com/vm-connector/latest/vm-reference
NEW QUESTION # 30
A healthcare customer wants to use hospital system data, which includes code that was developed using legacy tools and methods. The customer has created reusable Java libraries in order to read the data from the system.
What is the most effective way to develop an API to retrieve the data from the hospital system?
Answer: C
Explanation:
Reusable Java libraries should be managed as Maven dependencies, not manually embedded or referenced through arbitrary filesystem locations. Installing the legacy library artifacts into an accessible Maven repository and declaring their Maven coordinates in the application's pom.xml gives the Mule project a deterministic and maintainable dependency model.
Mule applications use Maven as their build/dependency-management mechanism. MuleSoft's external-library guidance supports adding dependencies through Maven coordinates or local library artifacts, with those dependencies represented in the project's POM. This enables consistent resolution during development and CI
/CD builds and avoids environment-specific hard-coded JAR paths.
Directly referring to JAR files from application code creates brittle coupling to local filesystem structure.
Supplying libraries manually only at deployment time also weakens reproducibility because the application build no longer fully declares its dependencies. Re-creating existing Java integration logic within every Mule application defeats reuse and adds unnecessary maintenance.
Once the Java library is available as a Maven dependency, the Mule Java Module or an appropriate custom module can invoke its functionality while Maven manages versioning and packaging.
Reference topics: Maven dependency management; reusable Java libraries; external libraries; pom.xml; Java Module integration.
Official documentation: https://docs.mulesoft.com/anypoint-code-builder/acb-external-libraries
NEW QUESTION # 31
A Mule application uses API autodiscovery to access and enforce policies for a RESTful implementation.
What needs to be configured for the flowRef attribute of the autodiscovery global element?
Answer: C
Explanation:
API Autodiscovery pairs a Mule API implementation with an API instance managed in API Manager. The global autodiscovery element requires the API instance identifier and a flowRef that identifies the flow where API Gateway policy enforcement begins.
MuleSoft explicitly states that flowRef must reference a flow containing an HTTP Listener. The referenced flow represents the inbound API entry point receiving the requests against which API Manager policies are enforced. Connectors that merely use HTTP internally are not sufficient for this requirement.
In an APIkit-generated application, the appropriate flow is typically the main API flow that contains the HTTP Listener and APIkit Router. Individual generated resource/operation flows execute later after routing; they are not the primary inbound policy-enforcement point. Similarly, the APIkit Console flow is intended for interactive API documentation/testing and should not be used as the flowRef for production policy enforcement.
The attribute is not simply supplied dynamically at runtime. It is part of the Mule application's Autodiscovery configuration and identifies the exact listener-based flow paired to API Manager.
Therefore, flowRef must identify the flow containing the HTTP Listener that receives the REST API's incoming requests.
Reference topics: API Autodiscovery; api-gateway:autodiscovery; flowRef; HTTP Listener; API Manager policy enforcement.
Official documentation: https://docs.mulesoft.com/mule-gateway/mule-gateway-config-autodiscovery-mule4
NEW QUESTION # 32
Refer to the exhibit.
A Mule application pom.xml configures the Maven Resources plugin to exclude parsing binary files in the project's src/main/resources/certs directory.
Which configuration of this plugin achieves a successful build?
Answer: C
Explanation:
To configure the Maven Resources plugin to exclude parsing binary files in the project's src/main/resources/certs directory, option C should be used. This option specifies that any files with .cer or .jks extensions under the certs directory should be excluded from filtering. Filtering is a process of replacing placeholders with actual values in resource files during the build process. Binary files should not be filtered because they may become corrupted or unusable. Reference: https://maven.apache.org/plugins/maven-resources-plugin/examples/filter.html https://maven.apache.org/plugins/maven-resources-plugin/examples/include-exclude.html
NEW QUESTION # 33
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