Databricks Certified Data Engineer - Professional
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In a data warehousing scenario, you are tasked with migrating an existing dataset from a traditional data warehouse to Delta Lake. The migration must ensure minimal downtime, maintain data integrity, and leverage Delta Lake's optimizations for performance. Additionally, the solution must comply with organizational policies that prioritize cost-effectiveness and scalability. Given these requirements, which of the following steps is the MOST appropriate to ensure a smooth migration? (Choose one option)
A
Directly transfer all data from the data warehouse to Delta Lake in a single operation without any preprocessing, to expedite the migration process.
B
Conduct a comprehensive analysis of the dataset to identify and transform data types and structures that are incompatible with Delta Lake, followed by a phased migration to monitor and adjust for performance impacts.
C
Utilize a third-party automated migration tool without conducting any preliminary data assessment or post-migration validation, assuming the tool handles all aspects of the migration optimally.
D
Initiate the migration by transferring data in large, unmanageable chunks to Delta Lake, disregarding the potential strain on network bandwidth and source system resources.