BigQuery Table Clones are specifically designed for the use case where you need a writable copy of a table that is storage-efficient.

Writable and Independent: Unlike views (which are read-only) or snapshots (which are read-only until restored), a table clone is a lightweight, writable copy. The data science team can perform DML operations (INSERT, UPDATE, DELETE) on the clone without those changes reflecting in the production base table.

Minimal Storage Costs: Table clones use a copy-on-write mechanism. Initially, the clone consumes zero additional storage because it points to the same underlying physical data blocks as the base table. You are only billed for the data that differs between the clone and the base table (i.e., new or modified rows in the clone).

Correcting other options:

A (Authorized Views): Views do not allow the data science team to modify or "experiment" with the data; they only allow querying of the existing production data.

B (Snapshots): Snapshots are read-only. To modify them, they must be restored into a standard table, at which point you are charged for the full storage of that restored table, failing the "minimize storage costs" requirement.

D (Full Copies): This is the most expensive option as it duplicates all physical data, leading to significantly higher storage costs.