DAA-C01 Question #88: Real Exam Question with Answer & Explanation

Question

When using Data Vault modeling techniques in Snowflake, what advantages do they offer over other modeling approaches for certain use-cases?

Options

• ALimits support for different data types
• BReduces data access control for user roles
• CSimplifies data integration and accommodates rapid changes
• DRestricts data transformation possibilities

Explanation

Data Vault modeling is specifically designed for enterprise data warehousing scenarios where data integration complexity and change agility are primary concerns - its hub-link-satellite structure separates business keys, relationships, and descriptive attributes, making it straightforward to onboard new sources without restructuring existing tables. Options A, C, and D describe limitations or reductions in capability, which is the opposite of what Data Vault provides - it actually expands data type support, enhances transformation possibilities through its flexible satellite structure, and strengthens access control by allowing role-based visibility at the satellite level. Option B is wrong for the same reason: Data Vault's granular structure tends to improve, not reduce, the ability to apply fine-grained data access controls per role.

Memory tip: Think of Data Vault as the "LEGO approach" to data modeling - you can snap new pieces on without dismantling what's already built, which is exactly why it excels at integration and rapid change. The word "accommodates" in option C is the giveaway, since adaptability is Data Vault's core design philosophy.

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