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Answer: Define the source data location and target schema; notebook libraries contain transformation logic, and the target specifies where transformed data is stored.
Explanation: When creating a DLT pipeline, you must define: Source data location (where raw data comes from) Target schema (database name for storing results) Notebook libraries (contain transformation logic written in SQL or Python) Target specifies the destination for transformed data, ensuring organized storage and retrieval.
Author: LeetQuiz Editorial Team
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When creating a new Delta Live Tables (DLT) pipeline in Databricks, which of the following best describes the essential components you must define, and the purpose of the target and notebook libraries?
A
Define the source data location and target schema; notebook libraries contain transformation logic, and the target specifies where transformed data is stored.
B
Define the cluster size and runtime version; notebook libraries store raw data, and the target specifies the compute resources.
C
Define the source data location and cluster configuration; notebook libraries are for visualization, and the target specifies the schema of the source data.
D
Define the target schema and visualization settings; notebook libraries are for machine learning models, and the target specifies the source data location.
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