Practice SnowPro-Advanced-Data-Analyst Exam Online

Question 1

Which aspects are important when making predictions based on data for forecasting purposes? (Select all that apply)

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

A : Scalar functions

B : Complex functions

C : System functions

D : Aggregate functions

Answer: A,C,D

Question 3

How do aggregate functions differ from window functions in Snowflake?

A : Window functions modify table structures.

B : Aggregate functions return single values.

C : Window functions work on entire tables.

D : Aggregate functions operate on groups of rows.

Answer: B,D

Question 4

When maintaining reports and dashboards, why is it essential to build automated and repeatable tasks?

A : They ensure inconsistency in reports and dashboards.

B : Automated tasks increase the complexity of dashboard management.

C : Automated tasks reduce manual efforts, ensuring consistency.

D : Repeatable tasks hinder data updates in dashboards.

Answer: C

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?

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

Name:	SnowPro Advanced Data Analyst
Exam Code:	SnowPro-Advanced-Data-Analyst
Certification:	SnowPro Certification
Vendor:	Snowflake
Total Questions:	171
Last Updated:	Apr 24, 2024

Snowflake SnowPro-Advanced-Data-Analyst