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

Topic	Details
Topic 1	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.
Topic 2	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 3	Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 4	Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.
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 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.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q227-Q232):

NEW QUESTION # 227
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 send Mule application log entries to Splunk
C. To directly reference one shared and customized log4j2.xml file from multiple Mule applications
D. To log certain messages to a custom log category

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 # 228
An insurance company is implementing a MuleSoft API to get inventory details from the two vendors. Due to network issues, the invocations to vendor applications are getting timed-out intermittently. But the transactions are successful upon reprocessing What is the most performant way of implementing this requirement?

A. Implement Round-Robin scope to invoke the two vendor applications on two different routes Use the Try-Catch scope to implement retry mechanism for timeout errors on each route
B. Implement a scatter-gather scope to invoke the two vendor
applications on two different route
Use the Until-Successful scope to implement the retry mechanism
for timeout errors on each route
C. Implement a For-Each scope to invoke the two vendor applications
Use until successful scope to implement the retry mechanism for the timeout errors
D. Implement a Choice scope to invoke the two vendor applications on two different route Use the try-catch scope to implement the retry mechanism for timeout errors on each route

Answer: B

Explanation:
The most performant way to handle intermittent network issues with vendor applications and ensure successful transaction reprocessing is to use a combination of the Scatter-Gather scope and the Until- Successful scope. Here's how it works:
* Scatter-Gather Scope: This scope allows you to send requests to multiple endpoints (in this case, the two vendor applications) simultaneously. This ensures that both vendors are queried at the same time, reducing overall processing time.
* Until-Successful Scope: This scope is used to implement a retry mechanism. By wrapping each route to the vendor applications with an Until-Successful scope, the flow can automatically retry the request if a timeout error occurs. This scope retries the request until it succeeds or until a specified number of retries is reached.
Implementation Steps:
* Configure a Scatter-Gather scope in your Mule application.
* Inside each route of the Scatter-Gather scope, place an Until-Successful scope.
* Configure the Until-Successful scope with appropriate retry policies, such as retry count and delay between retries.
* Inside the Until-Successful scope, configure the HTTP request to the vendor application.
This approach ensures that:
* Both vendor applications are queried in parallel.
* Each request is retried upon timeout errors, ensuring eventual success without manual intervention.
References:
* MuleSoft Documentation: Scatter-Gather
* MuleSoft Documentation: Until-Successful Scope

NEW QUESTION # 229
A marketing organization is designing a Mule application to process campaign dat a. The Mule application will periodically check for a file in a SFTP location and process the records in the file. The size of the file can vary from 10MB to 5GB. Due to the limited availabiltty of vCores, the Mule application is deployed to a single CloudHub worker configured with vCore size 0.2.
The application must transform and send different formats of this file to three different downstream SFTP locations.
What is the most idiomatic (used for its intended purpose) and performant way to configure the SFTP operations or event sources to process the large files to support these deployment requirements?

A. Use an in-memory non-repeatable stream
B. Use a file-stored repeatable stream
C. Use a file-stored non-repeatable stream
D. Use an in-memory repeatable stream

Answer: D

NEW QUESTION # 230
Refer to the exhibit.

The HTTP Listener and the Logger are being handled from which thread pools respectively?

A. Shared Selector Pool and CPU LITE
B. BLOCKING _IO and UBER
C. CPU_INTENSIVE and Dedicated Selector pool
D. UBER and NONBLOCKING

Answer: A

Explanation:
In Mule applications, different components are handled by specific thread pools to optimize performance and resource utilization.
* HTTP Listener: This component handles incoming HTTP requests and is managed by the Shared Selector Pool. The Shared Selector Pool is responsible for handling non-blocking IO operations efficiently.
* Logger: The Logger component is lightweight and does not perform CPU-intensive operations. It is managed by the CPU_LITE thread pool, which is designed for lightweight CPU operations.
This separation ensures that IO-bound operations do not block CPU-bound operations, maintaining optimal performance and responsiveness in the application.
References:
* MuleSoft Threading and Thread Pools
* MuleSoft HTTP Listener Documentation

NEW QUESTION # 231
An Organization has previously provisioned its own AWS VPC hosting various servers. The organization now needs to use Cloudhub to host a Mule application that will implement a REST API once deployed to Cloudhub, this Mule application must be able to communicate securely with the customer-provisioned AWS VPC resources within the same region, without being interceptable on the public internet.
What Anypoint Platform features should be used to meet these network communication requirements between Cloudhub and the existing customer-provisioned AWS VPC?

A. Configure an external identity provider (IDP) in Anypoint Platform with certificates from the customer provisioned AWS VPC
B. Add a default API Whitelisting policy to API Manager to automatically whitelist the customer provisioned AWS VPC IP ranges needed by the Mule applicaton
C. Use VM queues in the Mule application to allow any non-mule assets within the customer provisioned AWS VPC to subscribed to and receive messages
D. Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC

Answer: D

Explanation:
Correct answer is: Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC
* Connecting to your Anypoint VPC extends your corporate network and allows CloudHub workers to access resources behind your corporate firewall.
* You can connect on-premises data centers through a secured VPN tunnel, or a private AWS VPC through VPC peering, or by using AWS Direct Connect.
MuleSoft Doc Reference : https://docs.mulesoft.com/runtime-manager/virtual-private-cloud

NEW QUESTION # 232
......

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MULESOFT-INTEGRATION-ARCHITECT-I TRAINING MATERIALS | MULESOFT-INTEGRATION-ARCHITECT-I LAB QUESTIONS

MuleSoft-Integration-Architect-I Training Materials | MuleSoft-Integration-Architect-I Lab Questions