Salesforce MuleSoft-Integration-Architect-I Exam With Confidence Using Practice Dumps

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.

MuleSoft Documentation on Runtime Fabric:

Kubernetes Documentation:

Explanation

* Organization can continue using existing load balancer even if backend application changes are there. So option A is ruled out.

* As Mule runtime is within their datacenter, this model is RTF and not PCE. So option C is ruled out.

Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications -- This mean PCE or Hybird not RTF - Also mentioned in Question is that - Mule runtime is hosting several Mule Application, so that also rules out RTF and as for hosting multiple Application it will have Domain project which need redesign to make it microservice architecture

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Correct Answer: Required redesign of Mule applications to follow microservice architecture principles

To achieve efficient caching and reduce redundant database transactions, the following strategy can be implemented:

On Table Row Listener: Implement an "On Table Row" trigger on the employees' table. This trigger will monitor changes (inserts, updates, deletes) in the employee records.

Invalidate Cache: Upon detecting changes in the employees' table, the trigger will call a flow to invalidate the current cache.

Object Store for Caching: Utilize MuleSoft's object store to cache the employee data. This store can hold the data for quick retrieval.

Set Expiration Interval: Configure the expiration interval for the cached data to ensure it is cleared when necessary. For this scenario, since we are invalidating cache on actual data changes, setting the expiration interval to empty can be suitable.

Return Cached Data: If there are no updates, the cached response is returned, reducing database load.

MuleSoft Documentation on Object Store

Caching Strategies