Which of the following statements is true regarding the use of starter pools in Microsoft Fabric's Spark workspace settings?

Starter pools are designed to simplify and speed up session starts, not to require manual setup of node sizes for each Spark session; they typically use a default or pre-configured size.

Starter pools optimize the Spark session startup time by maintaining pre-warmed compute clusters, allowing users to initiate Spark notebooks and jobs almost instantly without waiting for cluster provisioning. This directly translates to a faster Spark session start experience without requiring manual configuration for each session.

Starter pools do not automatically scale to XX-Large node sizes by default; their size is typically smaller and pre-configured to offer a quick start for common workloads.

Starter pools are generally available by default or easily enabled to improve user experience, and their primary purpose is to accelerate session startups, not to be a disabled feature.