An analyst needs a cost estimate before executing a large on-demand BigQuery query. Which approach best fits?

1. Evaluate clustering on the frequently filtered identifier and measure the effect.
2. Evaluate a compatible materialized view.
3. Perform a dry run and set an appropriate maximum bytes billed where supported.
4. Filter on the relevant partition column using a pruning-compatible predicate.