Question 1

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 2

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 3

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 4

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

Question 5

When working with CSV, JSON, and Parquet data types in Snowflake, how does selecting the appropriate data format impact query performance and storage efficiency?

Options :

A : Parquet format optimizes query performance and reduces storage requirements

B : CSV format enhances query performance and minimizes storage needs

C : JSON format accelerates query execution but increases storage requirements

D : All formats have similar impacts on query performance and storage

Answer: A

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