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NEW QUESTION 21
A Mule application contains a Batch Job with two Batch Steps (Batch_Step_l and Batch_Step_2). A payload with 1000 records is received by the Batch Job.
How many threads are used by the Batch Job to process records, and how does each Batch Step process records within the Batch Job?
- A. Each Batch Job uses a SINGLE THREAD to process a configured block size of record Each Batch Step instance receives A BLOCK OF records as the payload, and BLOCKS of records are processed IN ORDER
- B. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and BATCH STEP INSTANCES execute IN PARALLEL to process records and Batch Steps in ANY order as fast as possible
- C. Each Batch Job uses a SINGLE THREAD for all Batch steps Each Batch step instance receives ONE record at a time as the payload, and RECORDS are processed IN ORDER, first through Batch_Step_l and then through Batch_Step_2
- D. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and RECORDS are processed IN PARALLEL within and between the two Batch Steps
Answer: D
NEW QUESTION 22
An organization will deploy Mule applications to Cloudhub, Business requirements mandate that all application logs be stored ONLY in an external splunk consolidated logging service and NOT in Cloudhub.
In order to most easily store Mule application logs ONLY in Splunk, how must Mule application logging be configured in Runtime Manager, and where should the log4j2 splunk appender be defined?
- A. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manger to support at Mule application deployments. - B. Keep the default logging configuration in Runtime Manager
Define the Splunk appender in EACH Mule application log4j2.xml file - C. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in EACH Mule application’s log4j2.xml file - D. Keep the default logging configuration in RuntimeManager
Define the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manager to support at Mule application deployments.
Answer: C
NEW QUESTION 23
A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?
- A. From the mule application, transform via theXSLT model
- B. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave
- C. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
- D. Transform by calling any suitable Java class from Dataweave
Answer: D
NEW QUESTION 24
An Order microservice and a Fulfillment microservice are being designed to communicate with their dients through message-based integration (and NOT through API invocations).
The Order microservice publishes an Order message (a kind of command message) containing the details of an order to be fulfilled. The intention is that Order messages are only consumed by one Mute application, the Fulfillment microservice.
The Fulfilment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilted message (a kind of event message). Each OrderFulfilted message can be consumed by any interested Mule application, and the Order microservice is one such Mute application.
What is the most appropriate choice of message broker(s) and message destination(s) in this scenario?
- A. Order messages are sent to an Anypoint MQ exchange
OrderFulfilted messages are sent to an Anypoint MQ queue
Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the toad of both microservices - B. Older messages are sent directly to the Fulfillment microservices
OrderFulfilled messages are sent directly to the Order microservice
The Order microservice Interacts with one AMQP-compatible message broker and the Fulfillment microservice Interacts with a different AMQP-compatible message broker, so that both message brokers can be chosen and scaled to best support the toad each microservice - C. Order messages are sent to a JMS queue OrderFulfilled messages are sent to a JMS topic The Order microservice Interacts with one JMS provider (message broker) and the Fulfillment microservice interacts with a different JMS provider, so that both message brokers can be chosen and scaled to best support the load of each microservice
- D. Order messages are sent to a JMS queue OrderFulfilled messages are sent to a JMS topic Both microservices Interact with the same JMS provider (message broker) Instance, which must therefore scale to support the load of both microservices
Answer: C
Explanation:
* If you need to scale a JMS provider/ message broker, – add nodes to scale it horizontally or – add memory to scale it vertically * Cons of adding another JMS provider/ message broker: – adds cost. – adds complexity to use two JMS brokers – adds Operational overhead if we use two brokers, say, ActiveMQ and IBM MQ * So Two options that mention to use two brokers are not best choice. * It’s mentioned that “The Fulfillment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilled message. Each OrderFulfilled message can be consumed by any interested Mule application.” – When you publish a message on a topic, it goes to all the subscribers who are interested – so zero to many subscribers will receive a copy of the message. – When you send a message on a queue, it will be received by exactly one consumer. * As we need multiple consumers to consume the message below option is not valid choice: “Order messages are sent to an Anypoint MQ exchange. OrderFulfilled messages are sent to an Anypoint MQ queue. Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the load of both microservices” * Order messages are only consumed by one Mule application, the Fulfillment microservice, so we will publish it on queue and OrderFulfilled message can be consumed by any interested Mule application so it need to be published on Topic using same broker. * Correct answer:
NEW QUESTION 25
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