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| Section | Weight | Objectives |
|---|---|---|
| Implement Maintainable and Modular Mule Applications and Their Maven Builds | 25% | - Implement modular Mule application structures
|
| Expose Production-Ready Anypoint Platform Managed APIs | 13% | - Manage APIs with Anypoint Platform
|
| Implement Monitorable Mule Applications | 15% | - Implement monitoring and logging
|
| Secure Data at Rest and in Transit | 20% | - Implement security best practices
|
| Implement Performant and Reliable Mule Applications | 27% | - Optimize reliability and performance
|
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NEW QUESTION # 13
The HTTP Request operation raises an HTTP CONNECTIVITY error.
Which HTTP status code and body are returned to the web client?
Answer: A
Explanation:
When the HTTP Request operation raises an HTTP CONNECTIVITY error, it triggers an on-error-continue handler that sets a payload with 'Error in processing your request'. Since no status code is explicitly set in this handler, it defaults to 500 (INTERNAL SERVER ERROR). Therefore, the web client receives an HTTP response with status code 500 and body 'Error in processing your request'. Reference: https://docs.mulesoft.com/mule-runtime/4.3/error-handling#on-error-continue
NEW QUESTION # 14
When implementing a synchronous API where the event source is an HTTP Listener, a developer needs to return the same correlation ID back to the caller in the HTTP response header.
How can this be achieved?
Answer: B
Explanation:
Correlation IDs are part of Mule event processing and provide the primary mechanism for tracing an execution across application components. Mule first examines the source message for a correlation identifier.
For an HTTP Listener request, an incoming X-CORRELATION-ID or MULE_CORRELATION_ID header can establish the Mule event's correlation ID. If the source does not provide one, Mule generates a unique correlation ID for the event.
For the synchronous HTTP Listener scenario tested by the MuleSoft Developer II curriculum, the same correlation context is associated with the request-response execution, so no special API policy, scaffolding option, or Listener "CorrelationID" checkbox is required to satisfy the stated requirement.
Options B and C describe configuration controls that are not part of the normal HTTP Listener/APIkit scaffolding model. A custom correlation policy would only introduce unnecessary complexity where Mule's runtime correlation mechanism already handles the event correlation lifecycle.
The broader operational principle is important: correlation IDs should remain stable for the execution being traced so that request handling, logs, downstream processing, and the associated synchronous interaction can be related during production diagnostics.
Reference topics: Mule Event; Correlation ID; HTTP Listener; X-CORRELATION-ID; distributed tracing and observability.
Official documentation: https://docs.mulesoft.com/mule-runtime/latest/correlation-id
NEW QUESTION # 15
An order processing system is composed of multiple Mule application responsible for warehouse, sales and shipping. Each application communication using Anypoint MQ. Each message must be correlated against the original order ID for observability and tracing.
How should a developer propagate the order ID as the correlation ID across each message?
Answer: C
Explanation:
To propagate the order ID as the correlation ID across each message using Anypoint MQ, the developer should wrap all Anypoint MQ Publish operations within a With CorrelationID scope from the Tracing module, setting the correlation ID to the order ID. The With CorrelationID scope allows setting a custom correlation ID for any event that occurs within it. The Tracing module also enables distributed tracing across different Mule applications and services using Anypoint Monitoring. Reference: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#with-correlation-id-scope https://docs.mulesoft.com/tracing-module/1.0/tracing-module-concepts
NEW QUESTION # 16
A developer has created the first version of an API designed for business partners to work commodity prices.
What should developer do to allow more than one major version of the same API to be exposed by the implementation?
Answer: B
Explanation:
To allow more than one major version of the same API to be exposed by the implementation, the developer should modify the baseUri property in the RAML file to include a variable that indicates the version number. The baseUri property defines the base URL of the API and can include variables that are replaced with actual values when mocking or deploying the API. By using a variable for the version number, the developer can expose different versions of the API using different base URLs and avoid conflicts or confusion. Reference: https://docs.mulesoft.com/api-designer/design-modify-raml-specs#baseuri https://docs.mulesoft.com/api-manager/2.x/api-versioning
NEW QUESTION # 17
Which type of cache invalidation does the Cache scope support without having to write any additional code?
Answer: D
Explanation:
Mule's Cache scope is backed by a caching strategy, commonly using an Object Store. The caching strategy can directly configure expiration characteristics, including entry time to live (TTL). Once the TTL expires and the corresponding expiration processing occurs, cached entries are removed according to the configured Object Store policy without requiring application-specific invalidation logic.
MuleSoft's cache strategy documentation shows that the Object Store used by a caching strategy can define values such as entryTtl, expirationInterval, and maximum entries. A Cache component can then reference that strategy and automatically use those expiration settings.
Write-through and write-behind describe cache/database synchronization strategies in which cache updates are coordinated with writes to an underlying persistent data source. Mule's standard Cache scope does not automatically implement those patterns as an invalidation mode. Notification-based invalidation would similarly require external notification logic or explicit Mule processing to identify and invalidate affected keys.
TTL requires no such custom invalidation workflow. The developer establishes the lifetime when configuring the caching Object Store, after which Mule manages expiration automatically.
Therefore, Time to live is the cache invalidation mechanism directly available through standard Cache scope configuration.
Reference topics: Cache Scope; Object Store Caching Strategy; entryTtl; expirationInterval; automatic cache expiration.
Official documentation: https://docs.mulesoft.com/mule-runtime/latest/cache-scope-strategy
NEW QUESTION # 18
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