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Explanation:

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.

Explanation:

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.

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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?

Real Exam

Last updated: April 12, 2026 at 14:02

Establish a single Dataplex virtual lake with a single zone encompassing landing, raw, and curated data. 2. Grant each data engineering team access to this virtual lake.

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Set up a single Dataplex virtual lake with a single zone for landing, raw, and curated data. 2. Develop separate assets for each data product within this zone. 3. Assign permissions to the data engineering teams at the zone level.

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Create a Dataplex virtual lake dedicated to each data product, with a single zone for landing, raw, and curated data. 2. Provide the data engineering teams with full access to the virtual lake associated with their data product.