
DatabricksCertified Data Analyst Associate
Domain 9Objective 2
Understand How the 3-Level namespace(Catalog / Schema / Tables or Volumes) Works in the Unity Catalog. DATA-ANALYST-ASSOCIATE Practice Questions (Page 2)
Part of the Section 9: Securing Data domain, which makes up ~8% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~3–5 in this domain), expect 1–2 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)
28questions here
6free pages
6concepts
Questions 6–10
- 6
A data analyst needs to access a collection of CSV files stored in a volume. The volume is named 'raw_data' and is located in the 'bronze' schema of the 'data_eng' catalog. What is the correct fully qualified path to reference this volume?
Select an answer first - 7
A data analyst needs to read a CSV file that is stored in a volume. The volume is named 'landing' and is in the 'raw' schema of the 'ingest' catalog. The analyst also needs to query a table named 'cleaned' in the 'curated' schema of the same catalog. What is the correct way to reference both the volume and the table?
Select an answer first - 8
What is a key benefit of using Unity Catalog's three-level namespace for data governance?
Select an answer first - 9
How does Unity Catalog's three-level namespace enable centralized governance and access control?
Select an answer first - 10
A data analyst is new to Unity Catalog and is trying to understand the hierarchy. They see a catalog named 'analytics', a schema named 'sales', and a table named 'orders'. Which of the following correctly describes the relationship between these objects?
Select an answer first
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