ADA-C01 Question 490
Single answerDetermine use cases for internal versus public data listingsA global retailer uses one Snowflake organization with separate accounts for Finance, Supply Chain, and Marketing. The data governance team wants to publish a curated product reference dataset so only accounts inside the same organization can discover and request it through a controlled catalog experience. The team also plans to publish an anonymized market trends dataset for external customers to discover in Snowflake Marketplace. Which combination of listing types should the Snowflake administrator recommend?
- A
Use an internal listing for the product reference dataset and a public listing for the market trends dataset.
- B
Use a public listing for both datasets because Marketplace supports both internal and external consumers.
- C
Use an internal listing for both datasets because all listings are first shared privately before becoming visible externally.
- D
Use direct shares instead of listings for the product reference dataset and an internal listing for the market trends dataset.
Show answer and explanation
Correct answer: A
Explanation
The key distinction is scope and discoverability. Internal listings are used to publish data products for discovery within the same Snowflake organization, supporting internal data sharing workflows and governed self-service access. Public listings are used to publish data products to Snowflake Marketplace so external customers can discover them. In this scenario, the product reference dataset should be an internal listing because it is intended only for internal business units within the same organization and should be discoverable through a managed internal catalog experience. The anonymized market trends dataset should be a public listing because the retailer wants external customers to discover it through Marketplace. This aligns with Snowflake guidance on using internal listings for intra-organization data sharing and public listings for Marketplace distribution, while reserving direct shares for more targeted sharing scenarios rather than catalog-based discovery.
- A. Correct.
Correct. Internal listings are intended for discovery and access requests within the same Snowflake organization, making them appropriate for sharing governed data products across internal accounts such as Finance, Supply Chain, and Marketing. Public listings are appropriate when a provider wants to make a data product discoverable to external consumers through Snowflake Marketplace.
- B. Incorrect.
Incorrect. Public listings are designed for external discovery in Snowflake Marketplace, not for restricting discovery to only accounts in the same organization. While a public listing can reach external consumers, it does not satisfy the requirement to keep the product reference dataset discoverable only internally.
- C. Incorrect.
Incorrect. Internal listings are specifically for intra-organization use cases, but they are not the right vehicle for distributing a dataset intended for external customers in Marketplace. The statement that all listings are first shared privately before external visibility is a misconception; internal and public listings serve different publication scopes and use cases.
- D. Incorrect.
Incorrect. Direct shares can be used for point-to-point sharing, but the scenario specifically calls for a controlled catalog-style discovery experience where internal accounts can discover and request the dataset. Internal listings are better aligned with that requirement. Also, an internal listing would not make the market trends dataset available to external customers in Snowflake Marketplace.