Passed Exam Today MuleSoft-Integration-Architect-I

To efficiently handle the invocation of vendor applications and retry requests that generate timeout errors, the most performant way is:

• Scatter-Gather Scope: Use a Scatter-Gather scope to invoke each vendor application in parallel. This approach allows the API to send requests to both vendors simultaneously, reducing overall processing time.
• Until-Successful Scope: Inside each route of the Scatter-Gather scope, use an Until-Successful scope to handle retries. The Until-Successful scope will retry the request in case of timeout errors until the request succeeds or the maximum retry limit is reached.

This combination ensures that the API can handle intermittent network issues efficiently while minimizing redundant transactions and maximizing performance.

References

• MuleSoft Documentation on Scatter-Gather Scope
• MuleSoft Documentation on Until-Successful Scope and Error Handling

MuleSoft customers often favor a MuleSoft-hosted Anypoint Platform runtime plane over a customer-hosted runtime for the following reasons:

• Reduced time-to-market for the first application (C): Using a MuleSoft-hosted runtime plane accelerates the deployment process because MuleSoft manages the infrastructure, allowing customers to focus on developing and deploying their applications quickly. This leads to faster time-to-market for the initial application and subsequent updates.
• Reduced IT operations effort (E): By leveraging a MuleSoft-hosted environment, customers offload the operational responsibilities, such as infrastructure maintenance, updates, and scalability management, to MuleSoft. This reduces the IT operations workload and allows internal teams to focus on more strategic initiatives.

In contrast, other options like reduced application latency and increased application throughput are not directly influenced by whether the runtime plane is MuleSoft-hosted or customer-hosted.

References

• MuleSoft Anypoint Platform Documentation
• MuleSoft Hosted vs. Customer Hosted Deployment Guides

To meet the requirements of enriching logging with more context and improving throughput while reducing latency, the customer should use an asynchronous logging approach. Here's why option B is correct:

• Async Logger: Asynchronous logging helps in improving the performance by decoupling the logging from the main thread of execution. This reduces the latency of message processing since logging operations are offloaded to a separate thread.
• Logging Level Greater than INFO: Logging at levels such as WARN, ERROR, or FATAL ensures that only essential logs are written asynchronously, further enhancing performance. Avoiding DEBUG or TRACE levels unless necessary reduces the overhead of logging.
• Pattern Layout with [%MDC]: Using the pattern layout with [%MDC] in the log4j2.xml configuration file allows the inclusion of mapped diagnostic context in the logs. MDC is a feature that provides context-specific information, such as transaction IDs or user IDs, which helps in tracing and debugging.

Example configuration in log4j2.xml:

This configuration ensures that the logs are enriched with context information provided by MDC and processed asynchronously to maintain high throughput and low latency.

References

• Log4j2 Asynchronous Logging
• Mapped Diagnostic Context (MDC) in Log4j2

Explanation

* Setting a transaction timeout for the Bitronix transaction manager

● Set the transaction timeout either

– In wrapper.conf

– In CloudHub in the Properties tab of the Mule application deployment

● The default is 60 secs. It is defined as

mule.bitronix.transactiontimeout = 120

* This property defines the timeout for each transaction created for this manager.

If the transaction has not terminated before the timeout expires it will be automatically rolled back.

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Additional Info around Transaction Management:

Bitronix is available as the XA transaction manager for Mule applications

● To use Bitronix, declare it as a global configuration element in the Mule application

● Each Mule runtime can have only one instance of a Bitronix transaction manager, which is shared by all Mule applications

● For customer-hosted deployments, define the XA transaction manager in a Mule domain

– Then share this global element among all Mule applications in the Mule runtime

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