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Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:

1. When designing Mule applications, why might you choose to configure stateful components with an OS?

A) To ensure data consistency across stateless components
B) To manage user access and authentication
C) To enhance the graphical user interface
D) To reduce the computational load on the application

2. Which approach is most effective for processing large streams of messages in a performance-sensitive environment?

A) Processing each message individually and immediately storing results.
B) Sending each message to multiple processors for redundancy.
C) Aggregating messages into batches before processing.
D) Increasing the concurrency level of each flow to the maximum.

3. A Mule application receives a JSON request, and it uses the validation module extensively to perform certain validations like isNotEmpty, isEmail, and isNotElapsed. It throws an error if any of these validations fails.
A new requirement is added that says a validation error should be thrown only if all above individual validations fail, and then an aggregation of individual errors should be returned.
Which MuleSoft component supports this new requirement?

A) Use VALIDATION:ALL scope wrapper enclosing all individual validations
B) Add try-catch with on-error-propagate wrapper over each individual validation
C) Add try-catch with on-error-continue wrapper over each individual validation
D) Use VALIDATION:ANY scope wrapper enclosing all individual validations

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

5. In the context of Mule applications, why is it important to use a Canonical Data Model for designing automated tests?

A) It provides a fixed set of APIs for all integration points.
B) It reduces the need for security testing.
C) It allows for consistent test cases across different systems and services.
D) It ensures that all developers use the same programming language.

Solutions: