A logical view stores a query definition. A materialized view stores computed results that BigQuery can maintain and reuse for eligible queries. An aggregate used by many reports can benefit, especially when the base table receives new rows. The definition must follow the supported SQL rules; a complicated report with arbitrary joins or window logic isn't automatically eligible for incremental maintenance.
Start with the report's grain. A channel summary needs one row per channel, with counts or totals you can combine later. Don't average already averaged groups without their weights. In this practice console, creating a materialized view builds its stored rows, and a later rebuild replaces them. It doesn't simulate Google's background refresh service or query rewrite decisions. The runnable work teaches the definition and output grain. The scenario questions cover what you must verify in the managed service.