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Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:

1. A customer of Salesforce has used Platform Events to integrate their Salesforce instance with an external third-party Artificial Intelligence (AI) system. The AI system provides a prediction score for each lead that is received by Salesforce. Once the prediction score is received, the lead information is saved to Platform events for other processes.
The trigger on the Platform Events is failing once this was rolled out to Production.
What type of monitoring should the Integration Consultant have considered to monitor this integration?

A) Set up debug logs for Platform Event triggers to monitor performance.
B) Validate the Platform Event definition matches leads definition.
C) Monitor Platform Events created per hour limits across the Salesforce instance.
D) Monitor the volume of leads that are created in Salesforce.

2. An organization is implementing a Quote of the Day API that caches today's quote.
Which scenario can use the CloudHub Object Store v2 via the Object Store Connector to persist the cache's state?

A) When there is one CloudHub deployment of the API implementation to three CloudHub workers/replicas, where all three CloudHub workers/replicas must share the cache state
B) When there is one deployment of the API implementation to CloudHub and another deployment to a customer-hosted Mule runtime, where both deployments must share the cache state
C) When there are two CloudHub deployments of the API implementation that must share the cache state, where each API implementation is deployed from a different Anypoint Platform business group to the same CloudHub region
D) When there are two CloudHub deployments of the API implementation that must share the cache state, where the API implementations are deployed to two different CloudHub VPNs within the same business group

3. Refer to the exhibit.

A Mule application is deployed to a multi-node Mule runtime cluster. The Mule application uses the Competing Consumers pattern among its cluster replicas to receive JMS messages from a JMS queue. To process each received JMS message, the following steps are performed in a flow. Step 1: The JMS Correlation ID header is read from the received JMS message. Step 2: The Mule application invokes an idempotent SOAP web service over HTTPS, passing the JMS Correlation ID as one parameter in the SOAP request. Step 3: The response from the SOAP web service also returns the same JMS Correlation ID. Step 4: The JMS Correlation ID received from the SOAP web service is validated to be identical to the JMS Correlation ID received in Step 1. Step 5: The Mule application creates a response JMS message, setting the JMS Correlation ID message header to the validated JMS Correlation ID and publishes that message to a response JMS queue. Where should the Mule application store the JMS Correlation ID values received in Step 1 and Step 3 so that the validation in Step 4 can be performed and the overall Mule application can be highly available, fault-tolerant, performant, and maintainable?

A) The Correlation ID value in Step 1 should be stored in a persistent Object Store The Correlation ID value in Step 3 should be stored as Mule event variables or attributes
B) Both Correlation ID values should be stored in a nonpersistent Object Store
C) Both Correlation ID values should be stored in a persistent Object Store
D) Both Correlation ID values should be stored as Mule event variables or attributes

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) Scale the cluster Mule runtimes horizontally by adding a third instance needed to support high rate of records processing
B) Modify the cluster Mule runtimes UBER thread pool strategy with a high concurrency in the conf/scheduler-pools.conf files
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. A Mule Process API is being designed to provide product usage details. The Mule application must join together the responses from an Inventory API and a Product Sales History API with the least latency.
How should each API request be called in the Mule application to minimize overall latency?

A) Call each API request in a Batch Step within a Batch Job
B) Call each API request in a separate Mule flow
C) In a separate lookup call from a DataWeave reduce function
D) In a separate route of a Scatter-Gather

Solutions: