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MuleSoft Certified Integration Architect - Level 1 MAINTENANCE Sample Questions (Q67-Q72):

NEW QUESTION # 67
In one of the critical payment related mule application, transaction is being used . As an enhancement to implementation , scatter gather route is introduced which is also the part of transaction group. Scatter gather route has 4 routes.
What will be the behavior of the Mule application in case of error occurs in 4th route of the scatter-gather router and transaction needs to be rolled back?

• A. All routes will be rolled back
• B. Only errored route will be rolled back
• C. Scatter Gather router cannot be part of transaction

Answer: A Explanation:
Explanation
Scatter Gather: When running within a transaction, Scatter Gather does not execute in parallel. This means that the second route is executed after the first one is processed, the third after the second one, etc. In case of error, all routes will be rolled back
NEW QUESTION # 68*
Insurance organization is planning to deploy Mule application in MuleSoft Hosted runtime plane. As a part of requirement , application should be scalable . highly available. It also has regulatory requirement which demands logs to be retained for at least 2 years. As an Integration Architect what step you will recommend in order to achieve this?

• A. When deploying an application to CloudHub, worker size should be sufficient to store 2 years data
• B. When deploying an application to CloudHub , logs retention period should be selected as 2 years
• C. It is not possible to store logs for 2 years in CloudHub deployment. External log management system is required.
• D. Logging strategy should be configured accordingly in log4j file deployed with the application.

Answer: C Explanation:
Explanation
Correct answer is It is not possible to store logs for 2 years in CloudHub deployment. External log management system is required. CloudHub has a specific log retention policy, as described in the documentation: the platform stores logs of up to 100 MB per app & per worker or for up to 30 days, whichever limit is hit first. Once this limit has been reached, the oldest log information is deleted in chunks and is irretrievably lost. The recommended approach is to persist your logs to a external logging system of your choice (such as Splunk, for instance) using a log appender. Please note that this solution results in the logs no longer being stored on our platform, so any support cases you lodge will require for you to provide the appropriate logs for review and case resolution
NEW QUESTION # 69
How does timeout attribute help inform design decisions while using JMS connector listening for incoming messages in an extended architecture (XA) transaction?

• A. The time allowed to pass between committing the transaction and the completion of the mule flow and then after the timeout flow processing triggers an error
• B. The timeout specifies the time allowed to pass between receiving JMS messages on the same JMS connection and then after the timeout new JMS connection is established
• C. The timeout defines the time that is allowed to pass without the transaction ending explicitly and after the timeout expires, the transaction rolls back
• D. After the timeout is exceeded, stale JMS consumer threads are destroyed and new threads are created

Answer: C
NEW QUESTION # 70
A company is building an application network and has deployed four Mule APIs: one experience API, one process API, and two system APIs. The logs from all the APIs are aggregated in an external log aggregation tool. The company wants to trace messages that are exchanged between multiple API implementations. What is the most idiomatic (based on its intended use) identifier that should be used to implement Mule event tracing across the multiple API implementations?

• A. DataWeave UUID
• B. Mule correlation ID
• C. Client's IP address
• D. Mule event ID

Answer: B Explanation:
Explanation
Correct answer is Mule correlation ID By design, Correlation Ids cannot be changed within a flow in Mule 4 applications and can be set only at source. This ID is part of the Event Context and is generated as soon as the message is received by the application. When a HTTP Request is received, the request is inspected for
"X-Correlation-Id" header. If "X-Correlation-Id" header is present, HTTP connector uses this as the Correlation Id. If "X-Correlation-Id" header is NOT present, a Correlation Id is randomly generated. For Incoming HTTP Requests: In order to set a custom Correlation Id, the client invoking the HTTP request must set "X-Correlation-Id" header. This will ensure that the Mule Flow uses this Correlation Id. For Outgoing HTTP Requests: You can also propagate the existing Correlation Id to downstream APIs. By default, all outgoing HTTP Requests send "X-Correlation-Id" header. However, you can choose to set a different value to
"X-Correlation-Id" header or set "Send Correlation Id" to NEVER.
NEW QUESTION # 71
An organization is designing an integration Mule application to process orders by submitting them to a back-end system for offline processing. Each order will be received by the Mule application through an HTTPS POST and must be acknowledged immediately. Once acknowledged, the order will be submitted to a back-end system. Orders that cannot be successfully submitted due to rejections from the back-end system will need to be processed manually (outside the back-end system).
The Mule application will be deployed to a customer-hosted runtime and is able to use an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the organization's firewall. The back-end system has a track record of unreliability due to both minor network connectivity issues and longer outages.
What idiomatic (used for their intended purposes) combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the back-end system while supporting but minimizing manual order processing?

• A. One or more On Error scopes to assist calling the back-end system
  An Until Successful scope containing VM components for long retries
  A persistent dead-letter VM queue configured in CloudHub
• B. A Batch Job scope to call the back-end system
  An Until Successful scope containing Object Store components for long retries A dead-letter object store configured in the Mule application
• C. An Until Successful scope to call the back-end system
  One or more ActiveMQ long-retry queues
  One or more ActiveMQ dead-letter queues for manual processing
• D. One or more On Error scopes to assist calling the back-end system
  One or more ActiveMQ long-retry queues
  A persistent dead-letter object store configured in the CloudHub Object Store service

Answer: C
NEW QUESTION # 72
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