MuleSoft MuleSoft Certified Integration Architect - Level 1 MCIA-Level-1 Exam Dumps: Updated Questions & Answers (July 2025)

To securely consume compressed and digitally signed files from a partner's FTPS server, the following inputs are required:

PGP Public Key of the Partner:

Purpose: Used to verify the digital signature of the files received from the partner. This ensures that the files were indeed sent by the partner and have not been tampered with.

Implementation: Import the partner’s PGP public key into the Mule application.

PGP Private Key for the Company:

Purpose: Used to decrypt the files that were encrypted by the partner using the company's public key. This ensures that only the intended recipient (the company) can access the contents of the files.

Implementation: Configure the Mule application to use the company’s PGP private key for decryption.

FTP Username and Password:

Purpose: Used to authenticate and establish a connection to the partner's FTPS server. The credentials ensure that only authorized users can access the server.

Implementation: Provide the FTP credentials in the Mule application's FTPS connector configuration.

By using these inputs, the Mule application can securely connect to the FTPS server, verify the integrity and authenticity of the files using PGP, and decrypt the contents for further processing.

References

MuleSoft FTPS Connector

MuleSoft PGP Module

In a hybrid, load-balanced, single cluster production environment running Mule applications in an active-active multi-node configuration, several considerations are critical for ensuring performance and reliability. The key consideration is the use of an external load balancer:

Active-Active Multi-Node Cluster Configuration:

An active-active cluster means that all nodes are actively handling traffic, providing high availability and better resource utilization.

External Load Balancer Requirement:

Distribution of Requests: An external load balancer is essential to evenly distribute incoming requests across all active nodes in the cluster. This prevents any single node from becoming a bottleneck and ensures balanced load distribution.

Scalability and Failover: The load balancer provides scalability by allowing more nodes to be added seamlessly. It also handles failover, rerouting traffic to healthy nodes if one node goes down.

Load Balancer Configuration:

Setup: Configure the load balancer to include all the nodes of the Mule cluster.

Health Checks: Implement health checks to monitor the status of each node and ensure traffic is only directed to healthy nodes.

Session Persistence: If required, enable session persistence (sticky sessions) to ensure that user sessions remain consistent across requests.

Mule Application Isolation:

Each Mule application instance runs in isolation but shares the same configuration and state. This isolation ensures that the failure of one node does not impact others.

Handling Requests:

In an active-active configuration, all nodes handle incoming requests simultaneously. The load balancer's role is to manage the distribution of these requests efficiently.

Benefits:

High Availability: Ensures that the system remains available even if some nodes fail.

Improved Performance: Balances the load, preventing any single node from being overwhelmed.

Scalability: Makes it easy to scale horizontally by adding more nodes.

References:

MuleSoft Documentation on Mule Clustering

Best Practices for Load Balancing

When a Mule application using VM queues is deployed to a customer-hosted cluster or multiple CloudHub v1.0 workers/replicas, messages are consumed in a non-deterministic way. This means that any of the nodes in the cluster or any of the workers can consume the messages from the VM queues, but there is no guaranteed order or specific pattern (such as round-robin or sequential processing).

This non-deterministic message consumption helps in distributing the load and handling messages more efficiently across multiple nodes or workers, improving the scalability and reliability of the application.

References

MuleSoft Documentation on VM Queues and Clustering

Best Practices for Deploying Mule Applications in Clusters

Explanation

* Option B shouldn't be used unless extremely needed, if RAML is changed, client needs to accommodate changes. Question is about minimizing impact on Client. So this is not a valid choice.

* Option C isn't valid as Business can't stop for consumers acknowledgment.

* Option D again needs Client to accommodate changes and isn't viable option.

* Best choice is A where RAML definition isn't changed and underlined functionality is changed without any dependency on client and without impacting client.

Requirements:

Asynchronous and Reliable File Processing: The application must process files from an FTPS server to a back-end database using VM intermediary queues for load balancing.

Batch Job Processing: The application must process records from a source to a target system using a Batch Job scope.

Persistent VM Queues:

Reliability: Persistent VM queues ensure that messages are not lost even if there is a system failure or restart. This is critical for reliable file processing and load balancing.

Asynchronous Processing: Persistent queues allow for asynchronous processing, where messages can be stored and processed independently of the producer and consumer lifecycles.

MuleSoft Best Practices:

Persistent VM Queues for Load Balancing: Using persistent VM queues aligns with MuleSoft best practices for ensuring reliable message processing and load balancing between Mule events.

High Availability: With CloudHub 1.0 workers, enabling persistent VM queues helps maintain high availability and reliability of the application.

Batch Job Scope: Ensuring persistence for VM queues also benefits batch processing by maintaining consistency and ensuring all records are processed even in the event of disruptions.

Configuration in Runtime Manager:

Deployment Configuration: When deploying the Mule application in Runtime Manager, check the "Persistent VM queues" checkbox to enable this feature.

Impact: This configuration ensures that the application meets its performance and reliability goals by safeguarding the integrity and continuity of the processing tasks.

References:

MuleSoft Documentation on VM Queues: VM Queues

MuleSoft Best Practices: MuleSoft Best Practices

CloudHub Deployment Guide: CloudHub Deployment

Explanation

Context of the question is about managing and governing mule applications deployed on Anypoint platform.

Anypoint API Manager (API Manager) is a component of Anypoint Platform that enables you to manage, govern, and secure APIs. It leverages the runtime capabilities of API Gateway and Anypoint Service Mesh, both of which enforce policies, collect and track analytics data, manage proxies, provide encryption and authentication, and manage applications.

Mule Ref Doc : https://docs.mulesoft.com/api-manager/2.x/getting-started-proxy

Explanation

Correct answer is Client Management

* Anypoint Platform acts as a client provider by default, but you can also configure external client providers to authorize client applications.

* As an API owner, you can apply an OAuth 2.0 policy to authorize client applications that try to access your API. You need an OAuth 2.0 provider to use an OAuth 2.0 policy.

* You can configure more than one client provider and associate the client providers with different environments. If you configure multiple client providers after you have already created environments, you can associate the new client providers with the environment.

* You should review the existing client configuration before reassigning client providers to avoid any downtime with existing assets or APIs.

* When you delete a client provider from your master organization, the client provider is no longer available in environments that used it.

* Also, assets or APIs that used the client provider can no longer authorize users who want to access them.

-------------------------------------------------------------------------------------------------------------MuleSoft Reference: https://docs.mulesoft.com/access-management/managing-api-clients

https://www.folkstalk.com/2019/11/mulesoft-integration-and-platform.html

Correct answer is Create WSDL specification using text editor SOAP services are specified using WSDL. A client program connecting to a web service can read the WSDL to determine what functions are available on the server. We can not create WSDL specification in Design Center. We need to use external text editor to create WSDL.

The MuleSoft-recommended best practice for sharing the connector and configuration information among multiple APIs is to use a Mule domain project. The steps are:

Create a Mule domain project.

Add the Database connector and its configuration to the domain project.

Reference this domain project from each System API that needs to use the Database connector and configuration.

By using a domain project, you centralize the configuration and reuse it across multiple APIs. This approach ensures consistency, reduces duplication, and simplifies maintenance and updates to the connector configuration.

References

MuleSoft Documentation on Domain Projects

Best Practices for Reusable Configuration in MuleSoft