Configure Dataplex so each data engineering team can access only the assets they need to build and share curated data products. What should you do?
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Correct answer: Create a Dataplex lake per data product, create separate zones for landing, raw, and curated within each lake, and give each team full access to its product lake..
Why this is the answer
The recommended practice for Dataplex is to align lakes with data products or domains, and zones with stages of data maturity (landing, raw, curated). Creating a lake per data product ensures clear ownership and isolation for each team. Within each product's lake, separate zones for landing, raw, and curated data allow for distinct access controls and processing pipelines tailored to each stage. Granting teams full access to their specific product lake simplifies permissions while maintaining the necessary segregation and security. Incorrect options: A single lake with all assets and broad access grants too much permission and lacks proper isolation between teams and data products. A single lake with a single zone and granular asset permissions becomes complex to manage at scale and doesn't leverage Dataplex's hierarchical structure effectively. A lake per data product with a single zone for all stages doesn't provide the necessary separation and control for data at different maturity levels within that product.
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