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Question 1

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 2

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

Question 3

What role does leveraging native data types play in Snowflake while working with different datasets?

Options :

A : Reduces query flexibility and optimization possibilities

B : Limits data type conversion capabilities

C : Impedes data compatibility with other platforms

D :

Improves query performance and storage efficiency

Answer: D

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

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