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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Monitorable Mule Applications | 15% | - Monitor applications and runtimes - Implement logging and log management - Expose health check endpoints - Implement message correlation |
| Topic 2: Design and Implement API-led Connectivity | 13% | - Implement HTTP callbacks/webhooks - Implement API autodiscovery - Implement server-side caching |
| Topic 3: Implement Performant and Reliable Mule Applications | 27% | - Use ObjectStore for persistence - Handle HTTP API invocations and errors - Validate messages and payloads - Implement reliable messaging patterns - Optimize performance and throughput |
| Topic 4: Secure Data at Rest and in Transit | 20% | - Manage keys and certificates - Expose and invoke APIs over HTTPS - Implement security policies - Manage secure environment properties |
| Topic 5: Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Build custom policies and processors - Implement automated deployment - Execute tests with Maven - Create reusable libraries - Modularize applications and builds |
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NEW QUESTION # 33
Which plugin or dependency is required to unit test modules created with XML SDK?
Answer: B
Explanation:
Modules and connectors are extensions to the Mule runtime rather than ordinary Mule applications. Their tests therefore require the extension-oriented MUnit test infrastructure, represented by the MUnit Extensions Maven Plugin (munit-extensions-maven-plugin).
MuleSoft's XML SDK documentation shows that an XML SDK project includes MUnit tests under src/test
/munit, and building the module runs those tests as part of the module build lifecycle. MuleSoft's connector- testing documentation explicitly references munit-extensions-maven-plugin when configuring tests for Mule extensions and modules.
The standard MUnit Maven Plugin is principally associated with executing MUnit suites for Mule applications in Maven/CI environments. XML SDK modules require testing in the extension/module context, which is why the extensions variant is the relevant plugin.
JUnit is a Java testing framework and does not by itself provide the Mule runtime and extension environment required to execute XML SDK module operations. XMLUnit, meanwhile, is designed for XML comparison and validation; it is not the Mule module-testing framework.
Therefore, the correct Maven component for unit testing XML SDK-created modules is the MUnit Extensions Maven Plugin.
Reference topics: XML SDK; MUnit; module testing; munit-extensions-maven-plugin; Mule extension build lifecycle.
Official documentation: https://docs.mulesoft.com/mule-sdk/latest/xml-sdk Official documentation: https://docs.mulesoft.com/mule-sdk/latest/partner-connector-upgrade
NEW QUESTION # 34
An API has been developed and deployed to CloudHub Among the policies applied to this API is an allowlist of IP addresses. A developer wants to run a test in Anypoint Studio and does not want any policies applied because their workstation is not included in the allowlist.
What must the developer do in order to run this test locally without the policies applied?
Answer: C
Explanation:
To run a test locally without the policies applied, the developer should create a properties file specifically for local development and set the API instance ID to a value that is not used in API Manager. This way, the developer can use different configuration properties for different environments and avoid triggering API autodiscovery when running tests locally. API autodiscovery is a mechanism that associates an API implementation with its corresponding API specification and policies in API Manager based on its API instance ID. By setting this ID to a value that does not exist in API Manager, the developer can prevent API autodiscovery from finding and applying any policies to the local test. Reference: https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept#configuring-api-autodiscovery https://docs.mulesoft.com/mule-runtime/4.3/configuring-properties
NEW QUESTION # 35
Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back failed requests in sequence?
Answer: A
Explanation:
To invoke multiple HTTP APIs in parallel and roll back failed requests in sequence, the developer should use a Scatter-Gather router as a central Saga orchestrator for all API requests with compensating actions for failing routes. A Scatter-Gather router executes multiple routes concurrently and aggregates the results. A Saga orchestrator coordinates a series of actions across different services and handles failures by executing compensating actions. Therefore, using a Scatter-Gather router as a Saga orchestrator allows invoking multiple HTTP APIs in parallel and rolling back any failed requests in sequence. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/saga
NEW QUESTION # 36
A Mule application deployed to multiple CloudHub 2.0 replicas needs to temporarily persist large files over
10MB between flow executions, and routinely needs to query whether the file data exists on separate executions.
How can this be achieved?
Answer: B
Explanation:
Object Store v2 is suitable for distributed key/value state that must be available across CloudHub executions and replicas, but it should not be used to hold the complete contents of files larger than its per-value limit.
MuleSoft documents that an Object Store v2 value is limited to 10 MB, while the overall store does not have a fixed aggregate size limit.
The appropriate architecture is therefore to persist the binary file itself in storage designed for large objects- for example, a durable external object/blob storage service-and store only lightweight metadata in Object Store v2. That metadata can include the object's storage key, URI/location, status, or other lookup information. Subsequent flow executions can query Object Store v2 to determine whether the object exists and then retrieve the actual file from the external storage system.
An in-memory Object Store is inappropriate because application replicas do not provide a durable shared in- memory persistence model for this requirement. Storing the entire file directly in Object Store violates the 10 MB value constraint. Local file-based storage is also unsuitable as a cross-replica CloudHub persistence mechanism.
Reference topics: Object Store v2 limits; CloudHub replicas; distributed persistence; external object storage; key/location metadata.
Official documentation: https://docs.mulesoft.com/object-store/osv2-faq
NEW QUESTION # 37
A company with MuleSoft Titanium support develops a Salesforce System API using MuleSoft's out-of-the- box Salesforce Connector and deploys the API to CloudHub.
Which steps provide the average number of requests and average response time of the Salesforce Connector?
Answer: B
Explanation:
Anypoint Monitoring provides connector-level performance metrics without requiring additional application logging or custom instrumentation. For supported connectors, these statistics are accessible from the application's monitoring interface through the Connectors tab.
MuleSoft's documentation specifies that connector monitoring includes Requests, which reports the average number of connector requests over automatically selected intervals, and Response Time, which reports the average response time for connector requests. To access these metrics, the documented procedure is to open Anypoint Monitoring, select the relevant Mule application resource, and open the Connectors view.
Because these metrics are generated by the monitoring platform, examining raw logs is unnecessary. A custom dashboard may be useful when creating specialized operational visualizations, but it is not required simply to obtain standard connector request and response-time measurements. Modifying the Salesforce System API to manually log this information would also duplicate functionality already supplied by Anypoint Monitoring and increase application complexity.
The question additionally identifies Titanium support, which aligns with availability of connector monitoring capabilities described by MuleSoft.
Therefore, the correct procedure is to use the built-in Anypoint Monitoring dashboard and inspect the Connectors tab.
Reference topics: Anypoint Monitoring; connector performance metrics; built-in dashboards; request count; response time; Salesforce Connector.
Official documentation: https://docs.mulesoft.com/monitoring/monitor-connectors
NEW QUESTION # 38
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