100% PASS QUIZ 2025 MCIA-LEVEL-1: UPDATED MULESOFT CERTIFIED INTEGRATION ARCHITECT - LEVEL 1 LATEST TEST SIMULATOR

100% Pass Quiz 2025 MCIA-Level-1: Updated MuleSoft Certified Integration Architect - Level 1 Latest Test Simulator

100% Pass Quiz 2025 MCIA-Level-1: Updated MuleSoft Certified Integration Architect - Level 1 Latest Test Simulator

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MuleSoft Certified Integration Architect - Level 1 (MCIA-Level-1) certification exam is designed for professionals who want to demonstrate their expertise in designing, building, and managing integration solutions using MuleSoft's Anypoint Platform. MuleSoft Certified Integration Architect - Level 1 certification is intended for integration architects, developers, and technical leads who work with MuleSoft's Anypoint Platform to build and manage integration solutions for their organizations. MCIA-Level-1 Exam measures a candidate's knowledge of MuleSoft's Anypoint Platform, integration patterns, best practices, and implementation considerations.

MuleSoft Certified Integration Architect - Level 1 Sample Questions (Q202-Q207):

NEW QUESTION # 202
Refer to the exhibit.


A business process involves two APIs that interact with each other asynchronously over HTTP. Each API is implemented as a Mule application. API 1 receives the initial HTTP request and invokes API 2 (in a fire and forget fashion) while API 2, upon completion of the processing, calls back into API l to notify about completion of the asynchronous process.
Each API Is deployed to multiple redundant Mule runtimes and a separate load balancer, and is deployed to a separate network zone.
In the network architecture, how must the firewall rules be configured to enable the above Interaction between API 1 and API 2?

  • A. To allow communication between the load balancers used by each API
  • B. To enable communication from each API's Mule runtimes and network zone to the toad balancer of the other API
  • C. To authorize the certificates used by both the apis
  • D. To open direct two-way communication between the Mule runtimes of both APIs

Answer: A


NEW QUESTION # 203
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 , logs retention period should be selected as 2 years
  • B. When deploying an application to CloudHub, worker size should be sufficient to store 2 years data
  • C. Logging strategy should be configured accordingly in log4j file deployed with the application.
  • D. It is not possible to store logs for 2 years in CloudHub deployment. External log management system is required.

Answer: D

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 # 204
How should the developer update the logging configuration in order to enable this package specific debugging?

  • A. In the Mule application's log4j2.xmI file, change the root logger's level property to DEBUG, then redeploy the Mule application to the CloudHub production environment
  • B. In Anypoint Runtime Manager, in the Deployed Application Properties tab for the Mule application, add a line item with DEBUG level for package org.apache.cxf and apply the changes
  • C. In the Mule application's log4j2.xml file, add an AsyncLogger element with name property set to org.apache.cxf and level set to DEBUG, then redeploy the Mule application in the CloudHub production environment
  • D. In Anypoint Monitoring, define a logging search query with class property set to org.apache.cxf and level set to DEBUG

Answer: D

Explanation:
To enable package-specific debugging for the org.apache.cxf package, you need to update the logging configuration in the Mule application's log4j2.xml file. The steps are as follows:
* Open the log4j2.xml file in your Mule application.
* Add an AsyncLogger element with the name property set to org.apache.cxf and the level set to DEBUG. This configuration specifies that only the logs from the org.apache.cxf package should be logged at the DEBUG level.
* Save the changes to the log4j2.xml file.
* Redeploy the updated Mule application to the CloudHub production environment to apply the new logging configuration.
This approach ensures that only the specified package's logging level is changed to DEBUG, minimizing the potential performance impact on the application.
References
* MuleSoft Documentation on Configuring Logging
* Log4j2 Configuration Guide


NEW QUESTION # 205
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. Client's IP address
  • C. Mule correlation ID
  • D. Mule event ID

Answer: C

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 # 206
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. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
  • B. Transform by calling any suitable Java class from Dataweave
  • C. From the mule application, transform via theXSLT model
  • D. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave

Answer: B


NEW QUESTION # 207
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