Question 1

Why are materialized views valuable in data analysis compared to regular views?

Options :

A : Regular views simplify complex data structures for ease of analysis.

B :

They offer real-time updates reflecting instantaneous database changes.

C : Materialized views provide precomputed snapshots, improving query performance.

D : Materialized views restrict data access, enhancing security.

Answer: C

Question 2

How do materialized views differ from secure views in data analysis?

Options :

A : Secure views provide precomputed snapshots, unlike materialized views.

B : Materialized views restrict data access for improved security.

C : Secure views precompute data, unlike materialized views.

D : Materialized views offer enhanced data security while allowing selective data access.

Answer: C

Question 3

Which considerations are part of best practice for ensuring data integrity structures in Snowflake? (Select all that apply)

Options :

A : Using primary keys for tables

B : Establishing parent-child table joins

C : Ensuring data normalization

D : Implementing redundant constraints

Answer: A,B

Question 4

What actions are involved in performing general DML (Data Manipulation Language) operations in Snowflake? (Select all that apply)

Options :

A : Updating existing data

B : Deleting data entirely

C : Inserting new data

D :

Merging data from multiple tables

Answer: A,B,C

Question 5

When conducting diagnostic analysis, why is it essential to collect related data and demographics?

Options :

A : To focus solely on isolated anomalies

B : To restrict analysis to recent data only

C : It assists in identifying reasons/causes of anomalies in historical data

D : To overlook statistical trends in historical data

Answer: C