Question 1

When utilizing materialized views, what benefit do they offer in terms of query performance and data retrieval?

Options :

A : Materialized views restrict data retrieval for improved security.

B : Regular views simplify complex data structures for better query performance.

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

D : They offer real-time updates reflecting instantaneous database changes.

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

In data modeling for BI requirements, when is it preferable to use a flattened data set instead of a data model?

Options :

A : For quick and simple data exploration

B : For situations requiring high data normalization

C : For scenarios necessitating extensive data transformations

D : For complex data analysis needs

Answer: A

Question 4

In diagnostic analysis, what importance do demographics and relationships hold in identifying anomalies? (Select all that apply)

Options :

A : Identifying demographic variations linked to anomalies

B : Analyzing only recent demographic data for anomalies

C : Ignoring data relationships for focused analysis

D : Considering relationships among data variables

Answer: A,D

Question 5

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

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