Explanation:
Understanding the different clone types in Databricks is key here. A deep clone copies both the source table data and metadata to the clone target, including stream metadata, allowing a stream writing to the Delta table to be paused on the source and resumed on the clone. A shallow clone, however, only copies the table metadata without the data files, making it a cost-effective option. Changes to either clone type do not affect the source table. Cloned metadata includes schema, partitioning information, invariants, and nullability. For deep clones, stream and COPY INTO metadata are also included. Notably, table descriptions and user-defined commit metadata are not cloned. Therefore, the correct choice is SHALLOW CLONE for cloning just the transaction logs. Learn more: Clone a table | Databricks.
Ultimate access to all questions.
A team of data scientists has trained a machine learning model using a specific version of a Delta table named credit_scores, which contains customer credit history data. They wish to archive this table version for future testing or ad-hoc analysis purposes. Which option allows them to clone only the Delta transaction logs without copying the data files to the target clone?
A
DEEP CLONE
B
SHALLOW COPY
C
DEEP COPY
D
SHALLOW CLONE
E
None of the above
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