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NEW QUESTION 44
What aspects of a CI/CD pipeline for Mule applications can be automated using MuleSoft-provided Maven plugins?
- A. Compile, package, unit test, validate unit test coverage, deploy
- B. Import from API designer, compile, package, unit test, deploy, publish to Anypoint Exchange
- C. Compile, package, unit test, deploy, integration test
- D. Compile, package, unit test, deploy, create associated API instances in API Manager
Answer: C
Explanation:
Explanation/Reference: http://workshop.tools.mulesoft.com/modules/module7_lab4#step-2-configure-the-mule-maven- plugin
NEW QUESTION 45
Refer to the exhibit.
This Mule application is deployed to multiple Cloudhub workers with persistent queue enabled. The retrievefile flow event source reads a CSV file from a remote SFTP server and then publishes each record in the CSV file to a VM queue. The processCustomerRecords flow’s VM Listner receives messages from the same VM queue and then processes each message separately.
How are messages routed to the cloudhub workers as messages are received by the VM Listener?
- A. Each message is duplicated to ALL of the Cloudhub workers, thereby SHARING EACH message with ALL the Cloudhub workers.
- B. Each message is routed to ONE of the Cloudhub workers in a DETERMINSTIC round robin fashion thereby EXACTLY BALANCING messages among the cloudhub workers
- C. Each messages routes to ONE of the available Clouhub workers in a NON- DETERMINSTIC non round-robin fashion thereby APPROXIMATELY BALANCING messages among the cloudhub workers
- D. Each message is routed to the SAME Cloudhub worker that retrieved the file, thereby BINDING ALL messages to ONLY that ONE Cloudhub worker
Answer: C
NEW QUESTION 46
Refer to the exhibit.
A Mule application is deployed 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 from the 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 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, 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 persistent object store
- C. Both Correlation ID values should be stored In a non-persistent object store
- D. Both Correlation ID values should be stored as Mule event variable/attribute
Answer: A
Explanation:
- If we store Correlation id value in step 1 as Mule event variables/attributes, the values will be cleared after server restart and we want system to be fault tolerant.
- The Correlation ID value in Step 1 should be stored in a persistent object store.
- We don’t need to store Correlation ID value in Step 3 to persistent object store. We can store it but as we also need to make application performant. We can avoid this step of accessing persistent object store.
- Accessing persistent object stores slow down the performance as persistent object stores are by default stored in shared file systems.
- As the SOAP service is idempotent in nature. In case of any failures , using this Correlation ID saved in first step we can make call to SOAP service and validate the Correlation ID.
Additional Information:
- Competing Consumers are multiple consumers that are all created to receive messages from a single Point-to-Point Channel. When the channel delivers a message, any of the consumers could potentially receive it. The messaging system’s implementation determines which consumer actually receives the message, but in effect the consumers compete with each other to be the receiver. Once a consumer receives a message, it can delegate to the rest of its application to help process the message.
- In case you are unaware about term idempotent re is more info:
Idempotent operations means their result will always same no matter how many times these operations are invoked.
NEW QUESTION 47
An organization is migrating all its Mule applications to Runtime Fabric (RTF). None of the Mule applications use Mule domain projects.
Currently, all the Mule applications have been manually deployed to a server group among several customer hosted Mule runtimes.
Port conflicts between these Mule application deployments are currently managed by the DevOps team who carefully manage Mule application properties files.
When the Mule applications are migrated from the current customer-hosted server group to Runtime Fabric (RTF), fo the Mule applications need to be rewritten and what DevOps port configuration responsibilities change or stay the same?
- A. NO, The Mule applications do NOT need to be rewritten
DevOps MUST STILL manage port conflicts
- B. Yes, the Mule applications Must be rewritten
DevOps No Longer needs to manage port conflicts between the Mule applications
- C. NO, the Mule applications do NO need to be rewritten
DevOps NO LONGER needs to manage port conflicts between the Mule applications.
- D. Yes, the Mule applications Must be rewritten
DevOps Must Still Manage port conflicts.
Answer: A
Explanation:
- Anypoint Runtime Fabric is a container service that automates the deployment and orchestration of your Mule applications and gateways.
- Runtime Fabric runs on customer-managed infrastructure on AWS, Azure, virtual machines (VMs) or bare-metal servers.
- As none of the Mule applications use Mule domain projects. applications are not required to be rewritten. Also when applications are deployed on RTF, by default ingress is allowed only on 8081.
- Hence port conflicts are not required to be managed by DevOps team
NEW QUESTION 48
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