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Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:

Topic	Details
Topic 1	Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.
Topic 2	Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.
Topic 3	Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.
Topic 4	Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.
Topic 5	Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.
Topic 6	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 7	Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 8	Designing and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q232-Q237):

NEW QUESTION # 232
A travel company wants to publish a well-defined booking service API to be shared with its business partners.
These business partners have agreed to ONLY consume SOAP services and they want to get the service contracts in an easily consumable way before they start any development. The travel company will publish the initial design documents to Anypoint Exchange, then share those documents with the business partners. When using an API-led approach, what is the first design document the travel company should deliver to its business partners?

A. Create a RAML API specification using any text editor
B. Create a SOAP API specification in Design Center
C. Create an OAS API specification in Design Center
D. Create a WSDL specification using any XML editor

Answer: D

Explanation:
SOAP API specifications are provided as WSDL. Design center doesn't provide the functionality to create WSDL file. Hence WSDL needs to be created using XML editor

NEW QUESTION # 233
Why would an Enterprise Architect use a single enterprise-wide canonical data model (CDM) when designing an integration solution using Anypoint Platform?

A. To remove the need to perform data transformation when processing message payloads in Mule applications
B. To reduce dependencies when integrating multiple systems that use different data formats
C. To automate Al-enabled API implementation generation based on normalized backend databases from separate vendors
D. To leverage a data abstraction layer that shields existing Mule applications from nonbackward compatible changes to the model's data structure

Answer: B

Explanation:
An Enterprise Architect would use a single enterprise-wide canonical data model (CDM) when designing an integration solution to achieve the following benefits:
* Reduced Dependencies: By standardizing on a single data model, it simplifies the integration process between multiple systems that may use different data formats. This eliminates the need for numerous point-to-point transformations.
* Consistency and Reusability: A CDM ensures consistent data representation across the enterprise, which promotes data integrity and reusability of integration components.
* Simplified Maintenance: Having a single data model reduces the complexity of maintaining and updating integration solutions, as changes need to be made in only one place.
The CDM acts as an abstraction layer that decouples systems, facilitating easier integration and reducing the potential for errors.
References
* MuleSoft Documentation on Canonical Data Models
* Best Practices for Data Integration with MuleSoft

NEW QUESTION # 234
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. 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
B. 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
C. 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
D. 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

Answer: D

NEW QUESTION # 235
How should the developer update the logging configuration in order to enable this package specific debugging?

A. In Anypoint Monitoring, define a logging search query with class property set to org.apache.cxf and level set to DEBUG
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.xmI file, change the root logger's level property to DEBUG, then redeploy the Mule application to the CloudHub production environment
D. 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

Answer: A

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 # 236
What aspect of logging is only possible for Mule applications deployed to customer-hosted Mule runtimes, but NOT for Mule applications deployed to CloudHub?

A. To change tog4j2 tog levels in Anypoint Runtime Manager without having to restart the Mule application
B. To log certain messages to a custom log category
C. To directly reference one shared and customized log4j2.xml file from multiple Mule applications
D. To send Mule application log entries to Splunk

Answer: C

Explanation:
* Correct answer is To directly reference one shared and customized log4j2.xml file from multiple Mule applications. Key word to note in the answer is directly.
* By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub log4j2.xml file. This specifies the CloudHub appender to write logs to the CloudHub logging service.
* You cannot modify CloudHub log4j2.xml file to add any custom appender. But there is a process in order to achieve this. You need to raise a request on support portal to disable CloudHub provided Mule application log4j2 file.

* Once this is done , Mule application's log4j2.xml file is used which you can use to send/export application logs to other log4j2 appenders, such as a custom logging system MuleSoft does not own any responsibility for lost logging data due to misconfiguration of your own log4j appender if it happens by any chance.

* One more difference between customer-hosted Mule runtimes and CloudHub deployed mule instance is that
- CloudHub system log messages cannot be sent to external log management system without installing custom CH logging configuration through support
- where as Customer-hosted runtime can send system and application log to external log management system MuleSoft Reference:
https://docs.mulesoft.com/runtime-manager/viewing-log-data
https://docs.mulesoft.com/runtime-manager/custom-log-appender

NEW QUESTION # 237
......

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