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  1. Home
  2. Salesforce Certification
  3. MuleSoft-Integration-Architect-I Exam
  4. Salesforce.MuleSoft-Integration-Architect-I.v2026-03-30.q190 Dumps
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Question 26

An integration Mute application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row falls, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mute components is most idiomatic (used according to their intended purpose) when Implementing the above requirements?

Correct Answer: C
* On Error Propagate halts execution and sends error to the client. In this scenario it's mentioned that
"processing of other rows must not be affected" so Option B and C are ruled out.
* Scatter gather is used to club multiple responses together before processing. In this scenario, we need sequential processing. So option A is out of choice.
* Correct answer is For Each scope & On Error Continue scope Below requirement can be fulfilled in the below way
1) Using For Each scope , which will send each row from csv file sequentially. each row needs to be sent sequentially as requirement is to send the message in exactly the same way as it is mentioned in the csv file
2) Also other part of requirement is if any processing step for a row fails then it should log an error but should not affect other record processing . This can be achieved using On error Continue scope on these set of activities. so that error will not halt the processing. Also logger needs to be added in error handling section so that it can be logged.
* Attaching diagram for reference. Here it's try scope, but similar would be the case with For Each loop.
Diagram Description automatically generated
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Question 27

A company is modernizing its legal systems lo accelerate access lo applications and data while supporting the adoption of new technologies. The key to achieving this business goal is unlocking the companies' key systems and dala including microservices miming under Docker and kubernetes containers using apis.
Considering the current aggressive backlog and project delivery requirements the company wants to take a strategic approach in the first phase of its transformation projects by quickly deploying API's in mule runtime that are able lo scale, connect to on premises systems and migrate as needed.
Which runtime deployment option supports company's goals?

Correct Answer: C
To support the company's goals of unlocking key systems and data, quickly deploying scalable APIs, and connecting to on-premises systems, while also preparing for future migrations, the best runtime deployment option is using Runtime Fabric on self-managed Kubernetes. Here's why:
* Scalability: Kubernetes is designed to scale applications easily and efficiently. By deploying Mule runtimes on a self-managed Kubernetes cluster, the company can dynamically scale its APIs based on demand, ensuring performance and reliability.
* Flexibility: Running on self-managed Kubernetes allows the company to have control over the infrastructure. They can customize the environment to meet their specific needs, integrate with existing on-premises systems, and support their microservices architecture running in Docker containers.
* Future-Proofing: Kubernetes supports hybrid and multi-cloud deployments, making it easier to migrate workloads between different environments as needed. This aligns with the company's goal of being able to migrate their systems as part of their strategic approach.
* Efficiency: By leveraging Kubernetes, the company can automate deployment, scaling, and management of containerized applications, reducing the burden on IT and DevOps teams.
References:
* MuleSoft Documentation on Runtime Fabric: https://docs.mulesoft.com/runtime-fabric/1.9/
* Kubernetes Documentation: https://kubernetes.io/docs/home/
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Question 28

What requirement prevents using Anypoint MQ as the messaging broker for a Mule application?

Correct Answer: A
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Question 29

A corporation has deployed Mule applications to different customer-hosted Mule runtimes. Mule applications deployed to these Mule runtimes are managed by Anypoint Platform.
What needs to be installed or configured (if anything) to monitor these Mule applications from Anypoint Monitoring, and how is monitoring data from each Mule application sent to Anypoint Monitoring?

Correct Answer: D
To monitor Mule applications deployed to different customer-hosted Mule runtimes using Anypoint Monitoring, follow these steps:
* Install Anypoint Monitoring Agent: Install an Anypoint Monitoring agent on each Mule runtime. This agent is responsible for collecting monitoring data from the Mule applications running on that runtime.
* Data Transmission: Each Anypoint Monitoring agent sends the collected monitoring data directly to Anypoint Monitoring. This ensures that performance metrics, logs, and other relevant data are available for analysis and monitoring within the Anypoint Platform.
By using the Anypoint Monitoring agent, organizations can effectively monitor their Mule applications across various environments, ensuring visibility and operational efficiency.
References
* MuleSoft Documentation on Anypoint Monitoring
* Installing and Configuring Anypoint Monitoring Agent
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Question 30

A manufacturing company plans to deploy Mule applications to its own
Azure Kubernetes service infrastructure.The organization wants to make
the Mule applications more available and robust by deploying each Mule
application to an isolated Mule runtime in a Docker container while
managing all the Mule applications from the MuleSoft-hosted control plane.
What choice of runtime plane meets these organizational requirements?

Correct Answer: D
Anypoint Runtime Fabric is the appropriate choice for deploying Mule applications in an isolated Mule runtime within Docker containers on an Azure Kubernetes Service (AKS) infrastructure. This solution provides a containerized and orchestrated environment managed from the MuleSoft-hosted control plane. It enhances the availability, scalability, and robustness of Mule applications by allowing fine-grained control over deployments and providing built-in support for high availability and fault tolerance.
References:
* Anypoint Runtime Fabric Overview
* Deploying Mule Applications to Kubernetes
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