Databricks-Certified-Professional-Data-Engineer Exam Dumps : Databricks Certified Data Engineer Professional Exam

The data files compacted by vacuum are not tracked by the cloned metadata; running refresh on the cloned table will pull in recent changes.

Because Type 1 changes overwrite existing records, Delta Lake cannot guarantee data consistency for cloned tables.

The metadata created by the clone operation is referencing data files that were purged as invalid by the vacuum command

Running vacuum automatically invalidates any shallow clones of a table; deep clone should always be used when a cloned table will be repeatedly queried.

"Can Manage" privileges on the required cluster

Workspace Admin privileges, cluster creation allowed. "Can Attach To" privileges on the required cluster

Cluster creation allowed. "Can Attach To" privileges on the required cluster

"Can Restart" privileges on the required cluster

Cluster creation allowed. "Can Restart" privileges on the required cluster

A batch job will update the enriched_itemized_orders_by_account table, replacing only those rows that have different values than the current version of the table, using accountID as the primary key.

The enriched_itemized_orders_by_account table will be overwritten using the current valid version of data in each of the three tables referenced in the join logic.

An incremental job will leverage information in the state store to identify unjoined rows in the source tables and write these rows to the enriched_iteinized_orders_by_account table.

An incremental job will detect if new rows have been written to any of the source tables; if new rows are detected, all results will be recalculated and used to overwrite the enriched_itemized_orders_by_account table.

No computation will occur until enriched_itemized_orders_by_account is queried; upon query materialization, results will be calculated using the current valid version of data in each of the three tables referenced in the join logic.