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Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:
1. What role does back-pressure play in streaming in Mule applications?
A) It prevents the system from becoming overloaded by regulating data flow.
B) It duplicates messages to ensure delivery.
C) It encrypts data to prevent unauthorized access.
D) It compresses data to save bandwidth.
2. 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) Change the application design and increase the Batch Job scope concurrency and the records block size
B) Modify the cluster Mule runtimes concurrency by changing the memory allocation in the conf/wrapper.conf files
C) Scale the cluster Mule runtimes horizontally by adding a third instance needed to support high rate of records processing
D) Modify the cluster Mule runtimes UBER thread pool strategy with a high concurrency in the conf/scheduler-pools.conf files
3. What is the primary function of the 'Until Successful' scope in Mule applications?
A) To execute a transaction only once, regardless of success or failure.
B) To handle batch processing of messages without acknowledgment.
C) To repeatedly execute a process until it completes successfully.
D) To enhance the throughput of message processing.
4. How does Catalyst Knowledge Hub primarily support MuleSoft users?
A) By selling additional software components.
B) By offering a platform for user forums and discussions.
C) By providing guidelines and best practices for effective API management.
D) By offering detailed technical support for hardware issues.
5. What does the Mule 4 reactive event processing model primarily optimize?
A) Resource utilization and responsiveness.
B) Integration with non-reactive legacy systems.
C) Deployment speeds across environments.
D) Code reuse across applications.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: A |






