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Answer: Create a raw zone for the unprocessed data and a curated zone for the processed data.
A. Incorrect. A lake represents a data domain or business unit. A lake could encompass both Cloud Storage and BigQuery data. B. Incorrect. A lake represents a data domain or business unit. A lake could encompass both Cloud Storage and BigQuery data. C. Incorrect. A zone is where we make a distinction between processed and unprocessed data. D. Correct. The recommended architecture is to use raw zones for unprocessed data and curated zones for processed data.
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You have large amounts of data stored on Cloud Storage and BigQuery. Some of it is processed, but some is yet unprocessed. You have a data mesh created in Dataplex. You need to make it convenient for internal users of the data to discover and use the data.
A
Create a lake for Cloud Storage data and a zone for BigQuery data.
B
Create a lake for BigQuery data and a zone for Cloud Storage data.
C
Create a lake for unprocessed data and assets for processed data.
D
Create a raw zone for the unprocessed data and a curated zone for the processed data.
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