Free Access to Salesforce.MuleSoft-Integration-Architect-I.v2026-07-22.q100 with Valid Practice Test (Page 6)

Question 21

Refer to the exhibit.

A customer is running Mule applications on Runtime Fabric for Self-Managed Kubernetes (RTF-BYOKS) in a multi-cloud environment.
Based on this configuration, how do Agents and Runtime Manager
communicate, and what Is exchanged between them?

A.Shared NIO Selector Pool, CPU_LITE
B.CPU_LITE, CPU_INTENSIVE
C.UBER, Dedicated NIO Selector Pool
D.BLOCKING_IO, UBER

Question 22

A mule application must periodically process a large dataset which varies from 6 GB lo 8 GB from a back- end database and write transform data lo an FTPS server using a properly configured bad job scope.
The performance requirements of an application are approved to run in the cloud hub 0.2 vCore with 8 GB storage capacity and currency requirements are met.
How can the high rate of records be effectively managed in this application?

A.Use streaming with a file storage repeatable strategy for reading records from the database and batch aggregator with streaming to write to FTPS
B.Use streaming with an in-memory reputable store strategy for reading records from the database and batch aggregator with streaming to write to FTPS
C.Use streaming with a file store repeatable strategy for reading records from the database and batch aggregator with an optimal size
D.Use streaming with a file store repeatable strategy reading records from the database and batch aggregator without any required configuration

Question 23

An organization designing a hybrid, load balanced, single cluster production environment. Due to performance service level agreement goals, it is looking into running the Mule applications in an active-active multi node cluster configuration.
What should be considered when running its Mule applications in this type of environment?

A.All event sources, regardless of time , can be configured as the target source by the primary node in the cluster
B.An external load balancer is required to distribute incoming requests throughout the cluster nodes
C.A Mule application deployed to multiple nodes runs in an isolation from the other nodes in the cluster
D.Although the cluster environment is fully installed configured and running, it will not process any requests until an outage condition is detected by the primary node in the cluster.

Correct Answer: B

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.
MuleSoft Documentation on Mule Clustering
Best Practices for Load Balancing

Question 24

A payment processing company has implemented a Payment Processing API Mule application to process credit card and debit card transactions, Because the Payment Processing API handles highly sensitive information, the payment processing company requires that data must be encrypted both In-transit and at-rest.
To meet these security requirements, consumers of the Payment Processing API must create request message payloads in a JSON format specified by the API, and the message payload values must be encrypted.
How can the Payment Processing API validate requests received from API consumers?

A.A Transport Layer Security (TLS) - Inbound policy can be applied in API Manager to decrypt the message payload and the Mule application implementation can then use the JSON Validation module to validate the JSON data
B.The Mule application implementation can use the APIkit module to decrypt and then validate the JSON data
C.The Mule application implementation can use the Validation module to decrypt and then validate the JSON data
D.The Mule application implementation can use DataWeave to decrypt the message payload and then use the JSON Scheme Validation module to validate the JSON data

Question 25

Refer to the exhibit.

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

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

Question 21

Question 22

Question 23

Question 24

Question 25

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