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

Which aspects are important when making predictions based on data for forecasting purposes? (Select all that apply)

Options :

A :

Incorporating statistical methods for accurate predictions

B : Using only basic arithmetic functions for forecasting

C : Considering trends and anomalies in historical data

D : Relying solely on historical data without considering external factors

Answer: A,C

Question 3

Why are Stored Procedures valuable in data analysis using SQL?

Options :

A : Stored Procedures solely facilitate data visualization.

B : Stored Procedures enable custom and repeated data operations, enhancing efficiency.

C : They restrict the execution of repetitive tasks, limiting efficiency.

D :

Answer: B

Question 4

In Snowflake, how does leveraging Parquet format contribute to optimizing query performance and storage efficiency?

Options :

A : Impedes data compression and decompression capabilities

B : Limits query execution time

C : Parquet format accelerates only metadata retrieval

D :

Enhances query performance and reduces storage requirements

Answer: D

Question 5

When maintaining reports and dashboards, why is it crucial to configure subscriptions and updates?

Options :

A : Configuring these features hampers dashboard usability.

B : Subscriptions and updates ensure timely information delivery.

C : They complicate dashboard management without any added benefits.

D : They limit data accessibility for effective dashboard usage.

Answer: B