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NEW QUESTION: 1
Refer to the exhibit.
A Mule application isdeployed to a multi-node Mule runtime cluster. The Mule application uses the competing consumer 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 l: The JMS Correlation ID header is read from the received JMS message.
Step 2: The Mule application invokes an idempotent SOAP webservice over HTTPS, passing the JMS Correlation ID as one parameter in the SOAP request.
Step 3: The response fromthe SOAP webservice also returns the same JMS Correlation ID.
Step 4: The JMS Correlation ID received from the SOAP webservice is validated to be identical to the JMS Correlation ID received in Step 1.
Step 5: The Mule application creates aresponse 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 3so that the validation in Step 4 can be performed, while also making the overall Mule application 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 a Mule event variable/attribute
B. Both Correlation ID values should be stored In a non-persistent object store
C. Both Correlation IDvalues should be stored as Mule event variable/attribute
D. Both Correlation ID values should be stored in a persistent object store
Answer: C
NEW QUESTION: 2
If an approver rejects an approval request, then the final rejection actions are always executed.
A. True
B. False
Answer: B
NEW QUESTION: 3
Although modelers can use model query subjects to create entire business views, it is recommended to use them to do which of the following?
A. Combine facts and dimensions for intuitive ad hoc business views.
B. Resolve conflicting keys and indexes and generate minimized SQL.
C. Provide dimensional information through the use of determinants.
D. Resolve reporting traps and simplify snowflake tables through consolidation.
Answer: D