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Salesforce Mule-Arch-202 Exam Syllabus Topics:

Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:

1. Which characteristic is essential for the CI/CD pipeline of Mule applications using Maven plugins?

A) Capability to rollback changes automatically in production.
B) Dependency on manual approval for all operations.
C) Exclusive support for Waterfall development methodologies.
D) Integration with version control systems for automated deployment.

2. Refer to the exhibit.

A telecommunications company receives orders (bill payments) from customers who submit a simple HTML form (no JavaScript or Web Assembly). Currently the process is synchronous and the customer is notified after everything is complete. The requirement is that the customer is notified of payment (charging the customer's credit card) through the response to the browser, but the customer can also be notified when the order is applied to the customer's account at a later time. Due to an increase in customers, the system has been unable to handle the load and the solution has been experiencing performance and reliability issues. Which request point could be replaced with an event-driven API using a JMS queue to help mitigate the performance issues, increase the fault tolerance, and meet the requirements?

A) 2
B) 5
C) 1
D) 4

3. When configuring logging for Mule applications, what practice enhances security and compliance in production environments?

A) Logging all user inputs and outputs without filtration.
B) Storing logs in the same database as application data.
C) Using the highest verbosity level for all logs.
D) Masking sensitive data before it is logged.

4. Which alternative to traditional transactions can be beneficial in systems where performance is a priority over strict data consistency?

A) Relying on database-level transactions only.
B) Employing stateless processing wherever possible.
C) Using asynchronous processing without acknowledgments.
D) Implementing custom error handling without retry mechanisms.

5. A Mule application is designed to periodically synchronize 1 million records from a source system to a SaaS target system using a Batch Job scope. The current application design includes using the default Batch Job scope to process records while managing high throughput requirements.
However, what actually happens is the application takes too long to process records even with the application deployed to a customer-hosted cluster of two Mule runtime 4.3 instances.
What must occur to achieve the required high throughput, considering the Mule runtimes' CPU and memory requirements are met with no expected contentions from other applications running under the same cluster?

A) Scale the cluster Mule runtimes horizontally by adding a third instance needed to support high rate of records processing
B) Change the application design and increase the Batch Job scope concurrency and the records block size
C) Modify the cluster Mule runtimes UBER thread pool strategy with a high concurrency in the conf/scheduler-pools.conf files
D) Modify the cluster Mule runtimes concurrency by changing the memory allocation in the conf/wrapper.conf files

Solutions: