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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Expose Production-Ready Anypoint Platform Managed APIs | 13% | - Manage APIs with Anypoint Platform
|
| Topic 2: Implement Monitorable Mule Applications | 15% | - Implement monitoring and logging
|
| Topic 3: Implement Performant and Reliable Mule Applications | 27% | - Optimize reliability and performance
|
| Topic 4: Secure Data at Rest and in Transit | 20% | - Implement security best practices
|
| Topic 5: Implement Maintainable and Modular Mule Applications and Their Maven Builds | 25% | - Implement modular Mule application structures
|
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NEW QUESTION # 17
Which type of cache invalidation does the Cache scope support without having to write any additional code?
Answer: B
Explanation:
The Cache scope supports time to live (TTL) as a cache invalidation strategy without having to write any additional code. TTL specifies how long the cached response is valid before it expires and needs to be refreshed. The Cache scope also supports custom invalidation strategies using MEL or DataWeave expressions. Reference: https://docs.mulesoft.com/mule-runtime/4.3/cache-scope#cache_invalidation
NEW QUESTION # 18
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 validated before posting to the target system?
Answer: C
Explanation:
MuleSoft provides the JSON Module specifically for operations such as JSON validation. The application should include the JSON Module as a Mule dependency and place its Validate schema operation before the connector or operation that posts the data to the target system.
The Validate schema operation receives the JSON document and evaluates it against the configured JSON Schema. When validation succeeds, processing continues to the next processor. If the payload does not conform, Mule raises JSON:SCHEMA_NOT_HONOURED, allowing the flow's error-handling strategy to reject or transform the invalid request before the target system is modified.
MuleSoft also documents that modules/connectors added manually to an application are declared in pom.xml as dependencies with the mule-plugin classifier; the JSON Module follows this standard pattern.
DataWeave conditional validation would unnecessarily reimplement schema semantics and would not automatically interpret a JSON Schema. API Manager does not provide the application-level JSON Module operation described by this requirement, and import json-module is not a valid mechanism for invoking the Mule JSON Module from DataWeave.
Reference topics: JSON Module; Validate Schema; JSON Schema; JSON:SCHEMA_NOT_HONOURED; Maven module dependency.
Official documentation: https://docs.mulesoft.com/json-module/latest/json-schema-validation Official documentation: https://docs.mulesoft.com/json-module/latest/json-xml-maven
NEW QUESTION # 19
A Flight Management System publishes gate change notification events whenever a flight's arrival gate changes. Other systems, including Baggage Handler System, Inflight Catering System, and Passenger Notifications System, must each asynchronously receive the same gate change notification to process the event accordingly.
Which configuration is required in Anypoint MQ to achieve this publish/subscribe model?
Answer: D
Explanation:
Anypoint MQ implements publish/subscribe fan-out by publishing a message to a message exchange and binding multiple queues to that exchange. Each subscribing application consumes from its own queue. As a result, a single gate-change event published by the Flight Management System can be copied to the Baggage Handler, Inflight Catering, and Passenger Notification queues independently.
MuleSoft documents that messages sent to an exchange are delivered to its bound queues and specifically describes exchanges as the mechanism for distributing one published message to multiple applications. A consumer does not directly consume from the exchange; consumption occurs from a queue. In fact, MuleSoft states that attempts to consume from a message exchange are rejected because the destination for consumption must be a queue.
Having all systems consume from one queue would instead create competing consumers: individual messages would normally be processed by one consumer rather than independently delivered to every subscribing system.
The required architecture is therefore: publisher # exchange # multiple bound queues # independent subscribers. This supplies asynchronous fan-out while preserving subscriber isolation and independent consumption.
Reference topics: Anypoint MQ exchanges; queue bindings; publish/subscribe; asynchronous event distribution.
Official documentation: https://docs.mulesoft.com/mq/
Official documentation: https://docs.mulesoft.com/mq/mq-exchanges
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: C
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
Which statement is true about using mutual TLS to secure an application?
Answer: D
Explanation:
Standard TLS authenticates the server to the client through the server's public certificate. The client validates that certificate against its configured trusted certificate authorities. Mutual TLS extends this process by requiring the client to present its own certificate so that the server can authenticate the client's identity as well.
MuleSoft describes a TLS-enabled server as exposing its public certificate while retaining its private key, and states that TLS clients validate the server certificate against their trusted certificates. For two-way TLS, both keystore and truststore material are configured so that the server can additionally validate certificates presented by clients.
Accordingly, server identity authentication is part of the TLS handshake before completion of the mutual client-authentication exchange. This makes option C the valid statement in the context of the question.
mTLS does not inherently increase the symmetric encryption strength; cipher-suite strength is independent of whether one-way or two-way authentication is used. A hardware security module can be useful for protecting keys but is not mandatory for mTLS. Finally, mTLS authenticates certificate-bearing client identities, not necessarily individual application end users or their business authorization.
Reference topics: TLS; mutual TLS; two-way authentication; keystore; truststore; client certificate authentication.
Official documentation: https://docs.mulesoft.com/mule-runtime/4.3/tls-configuration
NEW QUESTION # 22
......
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