You administer shared BigQuery datasets with views used by multiple teams. Marketing wants predictable monthly spend under on-demand variability. How do you provide a consistent, billable analytics budget for marketing?

A BigQuery reservation with a fixed number of slots (e.g., 500) and no autoscaling provides a predictable, consistent, and billable analytics budget. This model ensures that the marketing team has dedicated processing capacity, and the cost is fixed per month based on the reserved slots, regardless of query volume. This addresses the need for predictable monthly spend under on-demand variability. Incorrect options: BigQuery Enterprise reservation with autoscaling: While Enterprise reservations offer dedicated capacity, autoscaling introduces variability in spend, which contradicts the requirement for a predictable budget. BigQuery quota for bytes scanned: Quotas limit usage but don't provide a predictable, fixed monthly cost. They are more for preventing runaway costs than establishing a consistent budget. BigQuery Standard pay-as-you-go reservation with 0 slots and autoscaling: A baseline of 0 slots means all processing would rely on autoscaling, leading to variable costs and not a predictable budget.