Exam Professional Cloud Database Engineer topic 1 question 70 discussion

A. An automated method eliminates C and D. Autoscaler is the way to go. Autoscaler has 3 scaling methods. Stepwise, linear and direct. From Google’s documentation: Stepwise - Stepwise scaling is useful for workloads that have small or multiple peaks. Linear - Linear scaling is best used with load patterns that change more gradually or have a few large peaks. Direct - Direct scaling provides an immediate increase in capacity. A is the obvious answer. https://cloud.google.com/spanner/docs/autoscaling-overview

A: https://cloud.google.com/spanner/docs/autoscaler-tool-overview#linear Linear scaling is best used with load patterns that change more gradually or have a few large peaks. The method calculates the minimum number of nodes or processing units required to keep utilization below the scaling threshold. The number of nodes or processing units added or removed in each scaling event is not limited to a fixed step amount.

Linear Linear scaling is best used with load patterns that change more gradually or have a few large peaks. The method calculates the minimum number of nodes or processing units required to keep utilization below the scaling threshold. The number of nodes or processing units added or removed in each scaling event is not limited to a fixed step amount. https://cloud.google.com/spanner/docs/autoscaling-overview#linear

https://cloud.google.com/architecture/autoscaling-cloud-spanner#linear

A: Use linear scaling to implement the Autoscaler-based architecture Linear scaling is best used with load patterns that change more gradually or have a few ***** large peaks. The method calculates the minimum number of nodes or processing units required to keep utilization below the scaling threshold. The number of nodes or processing units added or removed in each scaling event is not limited to a fixed step amount.