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A Tableau consultant is tasked with choosing a method of setting up row-level security (RLS) entitlements with tables during a Tableau implementation. The consultant has received a set of roles from a client in one normalized table, and a set of entitlements from the client in another normalized table. The consultant plans on using the deepest granularity method. However, when the consultant gains access to the final set of data, they discover duplicate values at the lowest level. Most of the regions in the client's dataset contain sub-regions named 'East' and 'West'. However, some regions have a 'Null' value for sub-region. How should the consultant proceed?
Correct Answer: C
Comprehensive and Detailed Explanation From Exact Extract: Tableau's RLS entitlement design patterns include: 1. Deepest Granularity Method * Requires one unique role # one unique lowest-level value pairing. * Fails when the dataset contains duplicate lowest-level values (e.g., multiple "East" sub-regions across different regions). * Cannot operate correctly when some lowest-level values are NULL. Thus, the deepest granularity method is not valid here. 2. Sparse Entitlements Method Tableau documentation states: * Sparse entitlements define RLS at each level of the hierarchy instead of only at the lowest level. * This method supports duplicate lowest-level values. * Handles scenarios where some levels are NULL because higher-level entitlements (e.g. Region = AMER) can still correctly apply. * More flexible for hierarchical geographic structures (Region # Sub-Region # Country, etc.). Given the client's dataset: * Multiple "East" and "West" sub-regions * Some "Null" sub-regions * Hierarchical levels present Sparse entitlements is the only correct and supported choice. Why the incorrect options are wrong: A & B - Deepest Granularity * Deepest granularity fails when the lowest-level values are not unique. * It cannot handle NULL values at the lowest tier. * Performance is not superior in this scenario. D - Sparse because it is most performant Performance is not the defining advantage. Flexibility and ability to handle duplicate lowest-level values is. Thus, C is the correct statement. * RLS entitlement design patterns: deepest vs. sparse entitlements. * Rules requiring unique lowest-level identifiers for deepest granularity. * Guidance stating sparse entitlements should be used when duplicates or NULL values exist in hierarchical structures.
