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| Section | Objectives |
|---|---|
| Topic 1: Security and Governance | - API policies and security enforcement - Authentication and authorization mechanisms |
| Topic 2: Deployment and Testing | - Unit testing and integration testing approaches - Deployment strategies across environments |
| Topic 3: Error Handling and Troubleshooting | - Debugging and logging techniques - Exception handling strategies in Mule applications |
| Topic 4: Anypoint Platform Development | - Anypoint Studio usage and project structure - Mule application development |
| Topic 5: Integration and API-led Connectivity | - API-led connectivity principles - System, Process, and Experience APIs design |
| Topic 6: DataWeave and Data Transformation | - Mapping, filtering, and payload manipulation - DataWeave scripting and transformations |
>> Mule-Dev-301 Exam Questions Answers <<
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NEW QUESTION # 11
Two APIs are deployed to a two-node on-prem cluster. Due to a requirements change, the two APIs must communicate to exchange data asynchronously.
Answer: C
Explanation:
To communicate asynchronously between two APIs deployed to a two-node on-prem cluster, the developer can use the VM Connector if the two APIs use the same domain. The VM Connector allows passing messages between different Mule applications within a single Mule runtime instance or across different instances using shared memory or persistent storage. If two APIs are deployed under the same domain, they can share resources such as VM queues and communicate asynchronously using VM Connector operations. Reference: https://docs.mulesoft.com/mule-runtime/4.3/vm-connector https://docs.mulesoft.com/mule-runtime/4.3/shared-resources
NEW QUESTION # 12
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: B
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 # 13
A Mule application for processing orders must log the order ID for every log message output.
What is a best practice to enrich every log message with the order ID?
Answer: D
Explanation:
To enrich every log message with the order ID, the developer should use the Tracing module to set logging variables with a Mapped Diagnostic Context (MDC). The Tracing module allows adding custom key-value pairs to log messages using MDC variables. The developer can use Set Logging Variables operation to set the order ID as an MDC variable and then use it in any logger processor within the same thread or event. Reference: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#set-logging-variables
NEW QUESTION # 14
When registering a client application with an existing API instance or API Group instance, what is required to manually approve or reject request access?
Answer: C
Explanation:
To manually approve or reject request access when registering a client application with an existing API instance or API Group instance, it is required to configure the SLA tier for the application and have one of the following roles or permissions: Organization Administrator, API Manager Environment Administrator, or Manage Contracts permission. These roles or permissions allow managing client applications and contracts in API Manager. Reference: https://docs.mulesoft.com/api-manager/2.x/client-applications#managing-client-applications-and-contracts
NEW QUESTION # 15
A Mule application deployed to a standardalone Mule runtime uses VM queues to publish messages to be consumed asynchronously by another flow.
In the case of a system failure, what will happen to in-flight messages in the VM queues that have been consumed?
Answer: D
Explanation:
In case of a system failure, in-flight messages in persistent VM queues that have been consumed will be processed after the system comes online. This is because persistent VM queues store messages on disk and guarantee delivery even if there is a system crash or restart. Therefore, any in-flight messages that have been consumed but not processed will be recovered from disk and processed when the system is back online. Reference: https://docs.mulesoft.com/mule-runtime/4.3/vm-connector#persistent-queues
NEW QUESTION # 16
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