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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and Implement API-led Connectivity | 13% | - Implement server-side caching - Implement HTTP callbacks/webhooks - Implement API autodiscovery |
| Topic 2: Implement Performant and Reliable Mule Applications | 27% | - Optimize performance and throughput - Handle HTTP API invocations and errors - Implement reliable messaging patterns - Use ObjectStore for persistence - Validate messages and payloads |
| Topic 3: Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Execute tests with Maven - Implement automated deployment - Create reusable libraries - Modularize applications and builds - Build custom policies and processors |
| Topic 4: Implement Monitorable Mule Applications | 15% | - Expose health check endpoints - Implement logging and log management - Monitor applications and runtimes - Implement message correlation |
| Topic 5: Secure Data at Rest and in Transit | 20% | - Implement security policies - Expose and invoke APIs over HTTPS - Manage keys and certificates - Manage secure environment properties |
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NEW QUESTION # 55
Refer to the exhibits.
Based on the code snippet, schema.json file, and payload below, what is the outcome of the given code snippet when a request is sent with the payload?
Exhibits:
Answer: A
Explanation:
The flow passes the incoming HTTP request payload directly to the JSON Module's Validate schema operation. The referenced schema.json defines the age property as an integer with "minimum": 0. However, the request shown in the exhibit contains:
"age": -1
This violates the schema because -1 is below the permitted minimum. MuleSoft specifies that the JSON Module's Validate schema operation compares the input content with the supplied JSON Schema and, when the document does not conform, raises JSON:SCHEMA_NOT_HONOURED.
Consequently, normal flow execution stops at the validation operation unless an error handler explicitly consumes the exception. The Logger positioned after the validation operation is not executed in this flow because validation fails first.
The schema's description text-"Age in years which must be equal to or greater than zero."-is metadata describing the property; it does not automatically become a successful HTTP response. Similarly, the request payload is not returned through a successful normal path after the schema violation.
Therefore, because the supplied age value violates minimum: 0, Mule raises JSON:
SCHEMA_NOT_HONOURED.
Reference topics: JSON Module; Validate Schema operation; JSON Schema constraints; minimum; JSON:
SCHEMA_NOT_HONOURED.
Official documentation: https://docs.mulesoft.com/json-module/latest/json-schema-validation
NEW QUESTION # 56
A Mule application defines an SSL/TLS keystore property "tls.keystore.keyPassword" as secure.
How can this property be referenced to access its value within the application?
Answer: A
Explanation:
Mule Secure Configuration Properties uses the secure:: prefix when an application references a property stored in a secure configuration properties file. Therefore, a property named tls.keystore.keyPassword is referenced using:
${secure::tls.keystore.keyPassword}
MuleSoft's Secure Configuration Properties documentation specifically states that the secure:: prefix is required when loading values from a secure properties file. The same syntax is used whether the property is consumed by a TLS configuration, connector configuration, global element, or another Mule component.
The ${...} syntax represents Mule configuration-property resolution. By contrast, DataWeave runtime expressions use the #[...] form; simply placing a secure-property identifier inside that syntax does not constitute the documented secure configuration-property reference. Likewise, the other alternatives do not use the required Mule configuration-property syntax.
This distinction is particularly important for TLS credentials. A keystore key password should be maintained externally from Mule XML, encrypted in the secure properties source, and resolved through the Secure Configuration Properties module at runtime.
Therefore, the correct reference is ${secure::tls.keystore.keyPassword}.
Reference topics: Secure Configuration Properties; secure:: prefix; encrypted application properties; TLS keystore credentials.
Official documentation: https://docs.mulesoft.com/mule-runtime/4.9/secure-configuration-properties
NEW QUESTION # 57
Mule application A is deployed to CloudHub and is using Object Store v2. Mule application B is also deployed to CloudHub.
Which approach can Mule application B use to remove values from Mule application A's Object Store?
Answer: A
Explanation:
Object Store Connector provides Mule operations for interacting with object stores associated with the application in which the connector executes. It is not the mechanism for one independently deployed CloudHub application to directly operate on another application's Object Store v2 data.
For cross-application administration and access, MuleSoft provides the Object Store v2 REST APIs. These APIs support listing object stores and keys, storing and retrieving key-value pairs, and explicitly deleting keys and their values. Calls are authenticated with an Anypoint Platform bearer token and address the required organization, environment, store, partition, and key. MuleSoft's documented DELETE operation removes a specified key-value pair from the targeted Object Store v2 partition.
The CloudHub REST API manages CloudHub resources and deployments rather than application Object Store entries. The CloudHub Connector likewise does not provide the direct cross-application Object Store v2 deletion capability described here.
Therefore, application B can invoke the Object Store v2 REST API, subject to appropriate authorization and identification of application A's relevant Object Store resources, to remove values from that store.
Reference topics: Object Store v2; Object Store v2 REST APIs; partitions and keys; DELETE operations; CloudHub persistence.
Official documentation: https://docs.mulesoft.com/object-store/osv2-apis
NEW QUESTION # 58
A Mule application needs to invoke an API hosted by an external system to initiate a process. The external API takes anywhere between one minute and 24 hours to complete its process.
Which implementation should be used to get response data from the external API after it completes processing?
Answer: C
Explanation:
A process that can require up to 24 hours is inherently asynchronous. The initiating Mule application should not keep an HTTP connection open until the remote system completes. Instead, Mule should initiate the process, return or continue independently, and expose an HTTP callback endpoint that the external system invokes when processing finishes.
The callback URL is registered with the external system so that completion data can be pushed back to Mule.
This separates request initiation from completion notification and avoids tying up network connections or execution resources for an unpredictable duration. Callback-based processing is a standard asynchronous integration mechanism; MuleSoft documentation uses callback endpoints extensively where a remote system must later contact a Mule application.
Polling every minute is inefficient over a possible 24-hour interval and can generate large volumes of unnecessary requests. An Async scope does not transform a fundamentally synchronous HTTP request into a
24-hour callback model; the downstream HTTP connection would still be governed by response and connection timeout behavior. Waiting synchronously is even less appropriate.
Therefore, exposing a Mule HTTP callback API and registering it with the external system provides the most scalable and reliable architecture.
Reference topics: asynchronous integration; callback APIs; HTTP Listener; long-running processes; event- driven completion notification.
Official documentation: https://docs.mulesoft.com/http-connector/latest/http-authentication
NEW QUESTION # 59
Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back failed requests in sequence?
Answer: C
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 # 60
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