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Answer: 1. For each data product, create a Dataplex virtual lake and multiple zones for landing, raw, and curated data. 2. Ensure data engineering teams have full access to the virtual lake designated for their data product.
The correct approach is outlined in option D. Creating a Dataplex virtual lake for each data product and multiple zones for different data stages (landing, raw, curated) ensures organized and isolated data assets. This setup allows each team to access only the assets relevant to their data products, with full access to their specific virtual lake facilitating easy sharing of curated data within their zones. **Why other options are less effective:** - **Option A:** A single virtual lake and zone can lead to data sprawl and access issues, lacking necessary isolation for independent team work. - **Option B:** While separate assets within a zone improve organization, zone-level permissions may still pose access and isolation challenges. - **Option C:** Dedicated virtual lakes are beneficial, but a single zone per product may not adequately prevent access issues or ensure easy sharing within teams.
Author: LeetQuiz Editorial Team
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You are tasked with setting up a data mesh on Google Cloud to facilitate various data engineering teams in creating data products. The process involves storing files in Cloud Storage, processing raw data in Cloud Storage and BigQuery, and saving the refined data product in BigQuery datasets. How would you configure Dataplex to ensure each team has access to the necessary assets for their data products and enable seamless sharing of curated data products among teams?
A
B
C
D