Mule Domains let you share configuration and resources across multiple apps running in the same domain. For this to work, the domain’s resources must be loaded by a set of Mule runtimes that can access and share them together. CloudHub runs each application in its own isolated runtime, so there’s no shared domain environment there. Only customer-hosted runtime planes—where you deploy Mule Runtime on your own infrastructure (on‑premises or private clouds) and can run several runtimes that reference the same domain—support Mule Domains. That’s why the customer-hosted runtime planes are the correct choice.

The key idea is that data kept by the Object Store can be shared across multiple Mule nodes in a cluster. In a multi-node deployment, you want certain state to be available to every node, so if one node goes down another can continue without losing that data. Mule achieves this by using a persistent or distributed object store that is replicated (or backed by a shared database/cache) across the nodes. When configured this way, what you write on one node is propagated to the others, enabling consistent state and reliable failover. So, the statement that persistence can be replicated across several nodes is the correct one. It’s not limited to a single JVM, and it isn’t restricted to CloudHub or to non-replicable object stores—the right persistent setup allows replication across nodes in a cluster.

Private Cloud Edition is chosen when an organization must meet strict regulatory or compliance requirements. It runs on private infrastructure—on‑premises or in a private cloud—giving you full control over data location, network access, and security policies. This setup supports data residency, auditability, and governance needs that are essential for compliance, often with dedicated resources and stronger isolation. The other reasons focus on speed to market, broad global reach, or minimal isolation—areas that are typically better served by public cloud or shared-tenancy approaches, not a private, tightly controlled deployment. That’s why the private cloud option is the best fit for regulatory and compliance demands.

From a user story perspective, you separate what the system must do from how the system must be when it does it. The first category is functional requirements, which cover the features, actions, inputs, outputs, and business rules the user story describes. The second category is non-functional requirements, which address quality attributes and constraints such as performance, security, reliability, usability, and maintainability. Together, these two kinds capture the full set of needs implied by a user story, with acceptance criteria often outlining the expected levels for both. The other groupings—focusing only on performance and security, or on hardware versus software, or on compliance and audit—don't represent the standard twofold split that emerges from translating a user story into concrete requirements.