Professional-Data-Engineer Exam Dumps | You manage your company's BigQuery data warehouse. You need to implement a solution that enables the

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Question 83/186

You manage your company's BigQuery data warehouse. You need to implement a solution that enables the data science team to modify data for experiments without affecting the original tables, while minimizing additional storage costs. What should you do?

A. Set up authorized views in a shared dataset that reference the original tables.

B. Create snapshots of all the tables and restore them for the data science team to use.

C. Create table clones of all the tables for the data science team to use.

D. Create a separate dataset with full copies of all the tables for each member of the data science team.

Correct Answer: C

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.
Reference: Google Cloud Documentation on BigQuery Table Clones:
"A table clone is a lightweight, writable copy of another table (called the base table). You are only charged for storage of data in the table clone that differs from the base table, so initially there is no storage cost for a table clone... Common use cases include: Creating sandboxes for users to generate their own analytics and data manipulations, without physically copying all of the production data." (Source: Introduction to table clones)

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