
DatabricksCertified Data Analyst Associate
Domain 8Objective 1
Apply Industry-Standard Data Modeling Techniques, Such as Star, Snowflake, and Data Vault Schemas, to Analytical Workloads. DATA-ANALYST-ASSOCIATE Practice Questions (Page 4)
Part of the Section 8: Data Modeling with Databricks SQL domain, which makes up ~5% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~2–3 in this domain), expect 1–2 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)
21questions here
5free pages
7concepts
Questions 16–20
- 16
Which of the following is a characteristic of a fact table in a star schema?
Select an answer first - 17
A company is designing a Databricks SQL table for sales analysis. They have a fact table with millions of rows and dimension tables with thousands of rows. Analysts frequently filter by date and join to the product dimension. Which table design best optimizes query performance?
Select an answer first - 18
A company's product dimension has many attributes, some of which are shared across products (e.g., category, subcategory). They want to reduce data redundancy and storage costs while still supporting analytical queries. Which schema approach best meets this requirement?
Select an answer first - 19
In a data vault schema, what is the role of a hub table?
Select an answer first - 20
What is a key advantage of a snowflake schema over a star schema?
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