Which of the following is a method to achieve high availability (HA)?

Prepare for the MuleSoft Integration Architect exam. Study with flashcards and multiple-choice questions, each offering hints and explanations to deepen understanding. Ace your exam with our focused preparation tools!

Multiple Choice

Which of the following is a method to achieve high availability (HA)?

High availability means the system keeps running even if some parts fail, by using redundancy and automatic failover. In MuleSoft, you achieve this by running multiple Mule runtimes in a cluster and placing a load balancer in front to direct traffic to the available nodes. In an active-active setup, all cluster members actively handle requests, and if one node fails, the load balancer automatically routes traffic to the remaining healthy nodes. This combination provides continuous service with minimal downtime, because both distribution of load and quick failover are handled transparently. Merely horizontally scaling to multiple runtimes isn’t enough on its own without clustering and a load balancer to coordinate traffic and share state. A single-node runtime has no redundancy, so any failure causes downtime. Disabling clustering removes the synchronization and failover mechanisms that keep the system available, undermining HA.

High availability means the system keeps running even if some parts fail, by using redundancy and automatic failover. In MuleSoft, you achieve this by running multiple Mule runtimes in a cluster and placing a load balancer in front to direct traffic to the available nodes. In an active-active setup, all cluster members actively handle requests, and if one node fails, the load balancer automatically routes traffic to the remaining healthy nodes. This combination provides continuous service with minimal downtime, because both distribution of load and quick failover are handled transparently.

Merely horizontally scaling to multiple runtimes isn’t enough on its own without clustering and a load balancer to coordinate traffic and share state. A single-node runtime has no redundancy, so any failure causes downtime. Disabling clustering removes the synchronization and failover mechanisms that keep the system available, undermining HA.

More practice questions