Question 1

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 2

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 3

What actions are involved in data discovery to identify necessary elements from available datasets in Snowflake? (Select all that apply)

Options :

A : Running SQL queries on tables

B : Performing data mining techniques

C : Evaluating necessary transformations

D :

Identifying missing data fields

Answer: A,C

Question 4

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 5

How do materialized views differ from secure views in data analysis?

Options :

A : Secure views provide precomputed snapshots, unlike materialized views.

B : Materialized views restrict data access for improved security.

C : Secure views precompute data, unlike materialized views.

D : Materialized views offer enhanced data security while allowing selective data access.

Answer: C

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