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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. When customizing data presentations in dashboards using filtering and editing techniques, what advantages do these methods offer? (Select all that apply)

A) Simplified data representation
B) Limited data exploration
C) Enhanced data accuracy
D) Improved data relevancy

2. How do row access policies and Dynamic Data Masking impact the creation of dashboards in terms of data visibility and security?

A) They improve data visibility for all users without restrictions.
B) Both policies restrict data visibility for better security.
C) Row access policies limit data visibility based on user privileges.
D) Dynamic Data Masking doesn't affect data visibility in dashboards.

3. When implementing data processing solutions, how does aggregating and enriching data contribute to the overall data analysis process?

A) Limits data correlation possibilities
B) Enhances data granularity
C) Slows down data retrieval speed
D) Increases data redundancy

4. How do materialized views differ from regular views in terms of data storage and computation?

A) Materialized views restrict data storage for better computation.
B) Materialized views simplify complex data structures for better computation.
C) Regular views provide precomputed snapshots for improved query performance.
D) Regular views provide precomputed snapshots, unlike materialized views.

5. When choosing between using a dimensional model and a flattened dataset for BI requirements in Snowflake, what considerations impact the final decision? (Select all that apply)

A) User access control requirements
B) Query performance expectations
C) Data denormalization and redundancy needs
D) Query execution plan constraints

Solutions: