Question 1

When utilizing materialized views, what benefit do they offer in terms of query performance and data retrieval?

Options :

A : Materialized views restrict data retrieval for improved security.

B : Regular views simplify complex data structures for better query performance.

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

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

Answer: C

Question 2

In data modeling for BI requirements, when is it preferable to use a flattened data set instead of a data model?

Options :

A : For quick and simple data exploration

B : For situations requiring high data normalization

C : For scenarios necessitating extensive data transformations

D : For complex data analysis needs

Answer: A

Question 3

When managing Snowsight dashboards, what significance do subscriptions and updates hold in meeting business requirements?

Options :

A : Managing subscriptions and updates complicates dashboard usage.

B : Subscriptions and updates have no impact on dashboard management.

C : They enhance dashboard usability without data updates.

D : Subscriptions and updates ensure timely information delivery.

Answer: D

Question 4

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 5

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

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