HOT MCIA-Level-1 Exam Quick Prep: MuleSoft Certified Integration Architect - Level 1 - Latest MuleSoft MCIA-Level-1 Test Questions Answers

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MuleSoft is a widely used integration platform that allows organizations to connect different systems and applications seamlessly. The MuleSoft Certified Integration Architect (MCIA-Level-1) certification exam is designed to test the knowledge and skills of integration architects who use MuleSoft's Anypoint Platform in their work. MuleSoft Certified Integration Architect - Level 1 certification is essential for professionals who want to demonstrate their expertise in designing, building, and managing complex integration solutions.

Earning the MCIA-Level-1 Certification is a great way for integration architects to demonstrate their expertise and differentiate themselves in the job market. Additionally, the certification can help professionals advance their careers and increase their earning potential. For companies that use MuleSoft's technology, working with certified integration architects can help ensure that integration projects are completed on time, on budget, and with minimal risk.

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The MCIA-Level-1 Certification is a valuable credential for integration architects who want to enhance their skills and advance their careers. It demonstrates that they have a deep understanding of MuleSoft's Anypoint Platform and can design and build complex integrations that meet the needs of their organizations.

MuleSoft Certified Integration Architect - Level 1 Sample Questions (Q73-Q78):

NEW QUESTION # 73
Refer to the exhibit. A Mule application is deployed to a cluster of two customer-hosted Mule runtimes. The Mule application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has failed, but before that node is restarted?

Answer: A


NEW QUESTION # 74
A company 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 HTTP5 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 the rejections from the back-end system will need to be processed manually (outside the banking system).
The mule application will be deployed to a customer hosted runtime and will be 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.
Which 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?

Answer: A

Explanation:
* To design an integration Mule application that processes orders and ensures reliability even with an unreliable back-end system, the following components and ActiveMQ queues should be used:
* Until Successful Scope: This scope ensures that the Mule application will continue trying to submit the order to the back-end system until it succeeds or reaches a specified retry limit. This helps in handling transient network issues or minor outages of the back-end system.
* ActiveMQ Long-Retry Queues: By placing the orders in long-retry queues, the application can manage retries over an extended period. This is particularly useful when the back-end system experiences longer outages. The ActiveMQ broker, located within the organization's firewall, can reliably handle these queues.
* ActiveMQ Dead-Letter Queues: Orders that cannot be successfully submitted after all retry attempts should be moved to dead-letter queues. This allows for manual processing of these orders. The dead-letter queue ensures that no orders are lost and provides a clear mechanism for handling failed submissions.
Implementation Steps:
* HTTP Listener: Set up an HTTP listener to receive incoming orders.
* Immediate Acknowledgment: Immediately acknowledge the receipt of the order to the client.
* Until Successful Scope: Use the Until Successful scope to attempt submitting the order to the back-end system. Configure retry intervals and limits.
* Long-Retry Queues: Configure ActiveMQ long-retry queues to manage retries.
* Dead-Letter Queues: Set up ActiveMQ dead-letter queues for orders that fail after maximum retry attempts, allowing for manual intervention.
This approach ensures that the system can handle temporary and prolonged back-end outages while minimizing manual processing.
References:
* MuleSoft Documentation on Until Successful Scope:
https://docs.mulesoft.com/mule-runtime/4.3/until-successful-scope
* ActiveMQ Documentation: https://activemq.apache.org/


NEW QUESTION # 75
As a part of design , Mule application is required call the Google Maps API to perform a distance computation. The application is deployed to cloudhub.
At the minimum what should be configured in the TLS context of the HTTP request configuration to meet these requirements?

Answer: B


NEW QUESTION # 76
Which productivity advantage does Anypoint Platform have to both implement and manage an AP?

Answer: D


NEW QUESTION # 77
What operation can be performed through a JMX agent enabled in a Mule application?

Answer: C


NEW QUESTION # 78
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