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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Monitorable Mule Applications | 15% | - Implement logging and log management - Expose health check endpoints - Implement message correlation - Monitor applications and runtimes |
| Topic 2: Secure Data at Rest and in Transit | 20% | - Expose and invoke APIs over HTTPS - Manage secure environment properties - Manage keys and certificates - Implement security policies |
| Topic 3: Design and Implement API-led Connectivity | 13% | - Implement API autodiscovery - Implement server-side caching - Implement HTTP callbacks/webhooks |
| Topic 4: Implement Performant and Reliable Mule Applications | 27% | - Handle HTTP API invocations and errors - Validate messages and payloads - Use ObjectStore for persistence - Optimize performance and throughput - Implement reliable messaging patterns |
| Topic 5: Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Modularize applications and builds - Create reusable libraries - Implement automated deployment - Build custom policies and processors - Execute tests with Maven |
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NEW QUESTION # 16
A company deploys 10 public APIs to CloudHub. Each API has its own individual health endpoint defined.
The platform operation team wants to configure API Functional Monitoring to monitor the health of the APIs periodically while minimizing operational overhead and cost.
How should API Functional Monitoring be configured?
Answer: B
Explanation:
API Functional Monitoring permits a monitor to contain tests against one or more endpoints, including endpoints belonging to multiple public APIs. A schedule determines where and how frequently the monitor executes. Consequently, there is no technical requirement to create ten independent schedules simply because ten APIs have individual health endpoints.
Because all ten APIs are public and accessible from the internet, a public location is sufficient. A private location is primarily useful when the monitored endpoints are accessible only through a private network or when specific private-network connectivity requirements exist. Creating a private location would introduce unnecessary deployment and operational overhead in this scenario.
The most efficient design is therefore to place the ten health checks in a single monitor/test suite and associate that monitor with one schedule running from one public location. MuleSoft documentation explicitly shows that a single monitor can test endpoints belonging to multiple public APIs, while a single schedule is associated with a location and execution interval. This reduces schedule consumption and management complexity.
Reference topics: API Functional Monitoring; Public Locations; Monitor Tests and Schedules; Monitoring Public APIs.
Official documentation: https://docs.mulesoft.com/api-functional-monitoring/afm-monitoring-public-apis
NEW QUESTION # 17
Multiple individual Mute application need to use the Mule Maven plugin to deploy to CloudHub.
The plugin configuration should .. reused where necessary and anything project, specific should be property-based.
Where should the Mule Maven details be configured?
Answer: A
Explanation:
To reuse Mule Maven plugin configuration across multiple individual Mule applications, the developer should use a parent pom.xml file. A parent pom.xml file defines common configuration for one or more child projects that inherit from it. The developer can specify common properties and dependencies for all child projects in the parent pom.xml file, such as Mule Maven plugin configuration, and then reference them in each child project's pom.xml file using placeholders. Reference: https://docs.mulesoft.com/mule-runtime/4.3/mmp-concept#parent-pom https://maven.apache.org/guides/introduction/introduction-to-the-pom.html#Project_Inheritance
NEW QUESTION # 18
A healthcare portal needs to validate the token that it sends to a Mule API. The developer plans to implement a custom policy using the HTTP Policy Transform Extension to match the token received in the header from the heathcare portal.
Which files does the developer need to create in order to package the custom policy?
Answer: B
Explanation:
To package a custom policy using the HTTP Policy Transform Extension, the developer needs to create an XML template file and a YAML configuration file. The XML template file defines the policy logic using Mule components and placeholders for user-defined properties. The YAML configuration file defines the metadata of the policy, such as its name, description, category, parameters, and dependencies. Reference: https://docs.mulesoft.com/api-manager/2.x/http-policy-transform#packaging-the-policy
NEW QUESTION # 19
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: C
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 # 20
Refer to the exhibits.
The HTTP Request operation raises an HTTP:CONNECTIVITY error.
Which HTTP status code and body are returned to the web client?
Exhibit:
Answer: D
Explanation:
The HTTP Request raises HTTP:CONNECTIVITY, so processing moves to the flow's On Error Propagate handler. Inside that handler, the variable httpStatus is explicitly set to 200, and the payload is changed to
"Error in processing your request."
However, because the handler is On Error Propagate, the Mule event remains in an error state after the handler completes. Therefore, the HTTP Listener uses its configured Error Response, not its normal Response configuration.
The exhibit shows that the Error Response status code is:
#[vars.httpStatus]
and its body is explicitly:
output text/plain --- error.description
Consequently, the status code is 200 because the error handler assigned that value to vars.httpStatus, while the body comes from error.description, which contains the description of the HTTP:CONNECTIVITY error. The payload set inside the error handler is not the expression used by the listener's configured Error Response.
MuleSoft documents that unsuccessful listener executions use the error-response definition and that status, body, headers, and other fields can use flow variables and DataWeave expressions.
Reference topics: HTTP Listener Error Response; On Error Propagate; Mule error object; error.description; response status variables.
Official documentation: https://docs.mulesoft.com/http-connector/latest/http-listener-ref
NEW QUESTION # 21
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