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Question 1

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 2

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

Question 3

What actions are involved in performing general DML (Data Manipulation Language) operations in Snowflake? (Select all that apply)

Options :

A : Updating existing data

B : Deleting data entirely

C : Inserting new data

D :

Merging data from multiple tables

Answer: A,B,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

In Snowflake, how does leveraging Parquet format contribute to optimizing query performance and storage efficiency?

Options :

A : Impedes data compression and decompression capabilities

B : Limits query execution time

C : Parquet format accelerates only metadata retrieval

D :

Enhances query performance and reduces storage requirements

Answer: D