Which statement best describes the role of capacity within Fabric?

• A. Capacity is optional and only required for creating advanced data models
• B. Capacity powers compute resources for workspaces and is the primary driver of costs in Fabric
• C. Capacity is used exclusively for storing data in OneLake
• D. Capacity governs user permissions and access management across all Fabric workspaces

Answer: (B)

Capacity in Fabric represents the compute power you provision for your workspaces. It’s the engines that run your notebooks, data pipelines, and analytical tasks, so increasing capacity boosts available compute and can speed up processing. Because you’re paying for the compute resources you allocate and use, capacity is the main factor driving Fabric costs. It’s not about storing data, and it doesn’t control who can access resources—permissions are managed separately. In short, capacity powers compute for workspaces and largely determines what you’ll spend.