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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q186-Q191):

NEW QUESTION # 186
A customer wants to use the mapped diagnostic context (MDC) and logging variables to enrich its logging and improve tracking by providing more context in the logs.
The customer also wants to improve the throughput and lower the latency of message processing.
As an Mulesoft integration architect can you advise, what should the customer implement to meet these requirements?

A. Useasync logger at the level equal to DEBUG orTRACEand use pattern
layout with [%MDC] in the log4j2.xml configuration file and then configure the logging variables
B. Useasync logger at the level greater than INFO and use pattern layout with [%MDC] in the log4j2,xml configuration file and then configure the logging variables
C. Use synchronous logging and use pattern layout with [%MDC] in the log4j2.xml configuration file and then configure the logging variables
D. Use synchronous logging at the INFO DEBUG or Trace level and use pattern layout with [% MDC] in the log4j2.xml configuration file and then configure the logging variables

Answer: B

Explanation:
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:
<Configuration status="WARN"> <Appenders> <Console name="Console" target="SYSTEM_OUT">
<PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss} [%t] %-5p %c{1} - %msg [%MDC]%n"/> </Console> <Async name="Async"> <AppenderRef ref="Console"/> </Async> </Appenders> <Loggers>
<Root level="WARN"> <AppenderRef ref="Async"/> </Root> </Loggers> </Configuration> 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

NEW QUESTION # 187
A team has completed the build and test activities for a Mule application that implements a System API for its application network.
Which Anypoint Platform component should the team now use to both deploy and monitor the System AP implementation?

A. Runtime Manager
B. API Manager
C. Anypoint Exchange
D. Design Center

Answer: A

Explanation:
After completing the build and test activities for a Mule application that implements a System API, the team should use Runtime Manager to both deploy and monitor the System API implementation. Runtime Manager is a component of Anypoint Platform that provides capabilities for deploying, managing, and monitoring Mule applications and APIs. It allows teams to manage applications and APIs across various environments, ensuring they operate correctly and efficiently.
References:
* Anypoint Runtime Manager
* Deploying and Managing Applications with Runtime Manager

NEW QUESTION # 188
A project team is working on an API implementation using the RAML definition as a starting point. The team has updated the definition to include new operations and has published a new version to exchange. Meanwhile another team is working on a mule application consuming the same API implementation.
During the development what has to be performed by the mule application team to take advantage of the newly added operations?

A. Update the API connector in the API implementation and publish to exchange
B. Update the REST connector from exchange in the client application
C. Scaffold the client application with the new definition
D. Scaffold API implementation application with the new definition

Answer: B

Explanation:
When a RAML definition is updated and a new version is published to Anypoint Exchange, the client applications that consume the API need to be updated to utilize the new operations. Here's how the Mule application team can achieve this:
* Access Anypoint Exchange:
* Go to Anypoint Exchange and find the updated RAML definition of the API.
* Update the REST Connector:
* In the Mule application, locate the existing REST connector that was generated from the previous version of the API.
* Update this connector to the latest version by reimporting the RAML definition.
* This can be done via the Anypoint Studio by navigating to the Mule Palette, finding the REST connector, and updating it with the new RAML.
* Regenerate Client Code (If Necessary):
* Sometimes, updating the connector may require regenerating the client code to include new operations.
* Ensure that all new methods and endpoints are available in your Mule application after the update.
* Test New Operations:
* Incorporate and test the new operations in the Mule application to ensure they function correctly with the updated API implementation.
References
* MuleSoft Documentation: API Development
* Anypoint Studio Documentation: Using Connectors

NEW QUESTION # 189
The retrieveBalances flow in the Mule application is designed to use an operation in a connector to the Finance system (the Finance operation) that can only look up one account record at a time, and a operation from a different connector to the Audit system (the Audit operation) that can only insert one account record at a time.
To best meet the performance-related requirements, what scope or scopes should be used and how should they be used to incorporate the Finance operation and Audit operation into the retrieveBalances flow?

A. Wrap the Finance operation in a Until-Successful scope. Wrap the Audit operation in a Try-Catch scope.
B. Wrap both connector operations in a For-Each scope.
C. Wrap the Finance operation in a Parallel For-Each scope. Wrap the Audit operation in a Async scope.
D. Wrap both connector operations in a Async scope.

Answer: C

Explanation:
* Understanding the Operations:
* The Finance operation can only look up one account record at a time.
* The Audit operation can only insert one account record at a time.
* Parallel For-Each Scope:
* Finance Operation: Use a Parallel For-Each scope to process multiple account lookups simultaneously.
* This improves performance by allowing concurrent processing of account records, leveraging parallelism.
* Async Scope:
* Audit Operation: Use an Async scope to handle the insertion of account records independently.
* The Async scope ensures that the Audit operation does not block the main processing flow, allowing other processes to continue without waiting for the Audit operation to complete.
* Performance Optimization:
* Combining Parallel For-Each for the Finance operation and Async scope for the Audit operation maximizes throughput.
* This approach ensures efficient use of resources and reduces latency by parallelizing account lookups and asynchronously handling audit inserts.
References:
* MuleSoft Documentation on Scopes: Mule Scopes
* MuleSoft Best Practices for Performance: Performance Best Practices

NEW QUESTION # 190
A Mule application is being designed for deployment to a single CloudHub worker. The Mule application will have a flow that connects to a SaaS system to perform some operations each time the flow is invoked.
The SaaS system connector has operations that can be configured to request a short-lived token (fifteen minutes) that can be reused for subsequent connections within the fifteen minute time window. After the token expires, a new token must be requested and stored.
What is the most performant and idiomatic (used for its intended purpose) Anypoint Platform component or service to use to support persisting and reusing tokens in the Mule application to help speed up reconnecting the Mule application to the SaaS application?

A. Database
B. Persistent object store
C. Variable
D. Nonpersistent object store

Answer: A

NEW QUESTION # 191
......

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