Question 1

Why are materialized views valuable in data analysis compared to regular views?

Options :

A : Regular views simplify complex data structures for ease of analysis.

B : They offer real-time updates reflecting instantaneous database changes.

C : Materialized views provide precomputed snapshots, improving query performance.

D : Materialized views restrict data access, enhancing security.

Answer: C

Question 2

In diagnostic analysis, what importance do demographics and relationships hold in identifying anomalies? (Select all that apply)

Options :

A : Identifying demographic variations linked to anomalies

B : Analyzing only recent demographic data for anomalies

C : Ignoring data relationships for focused analysis

D : Considering relationships among data variables

Answer: A,D

Question 3

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 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 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

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