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Question 1

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

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

When performing forecasting using statistics and built-in functions, what role do these functions play?

Options :

A : These functions only apply to limited data types for forecasting.

B : They solely aid in data visualization without impacting the forecasting process.

C : They enable the creation of custom forecasting models as needed.

D :

They restrict forecasting to predefined models without flexibility.

Answer: C

Question 4

How do Snowsight's data loading capabilities impact data ingestion?

Options :

A : It limits data ingestion to structured formats only.

B : Snowsight enables real-time data ingestion.

C : Snowsight facilitates streamlined data import from various sources.

D : Data loading is restricted to batch processing only.

Answer: C

Question 5

What types of Snowflake functions are available for data analysis and manipulation? (Select all that apply)

Options :

A : Scalar functions

B : Complex functions

C : System functions

D : Aggregate functions

Answer: A,C,D