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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. In Snowflake, how does Time Travel feature assist in data retrieval and analysis?

A) Accelerates query performance significantly
B) Provides real-time data updates
C) Limits data access for specific user roles
D) Enables querying data as of a specific point in time

2. What critical role do user-defined functions (UDFs) play in data analysis using SQL?

A) UDFs hinder query optimization in SQL.
B) UDFs restrict data analysis to predefined operations.
C) UDFs are limited to specific data types.
D) They allow customization and extension of SQL functionalities for specific data operations.

3. What role does operationalizing data play in maintaining reports and dashboards for business requirements?

A) Operationalizing data complicates dashboard management.
B) Operationalizing data ensures consistent and efficient usage.
C) It limits data updates, affecting dashboard accuracy.
D) It restricts data accessibility, affecting dashboard usability.

4. When dealing with JSON data in Snowflake and utilizing built-in functions for traversing, flattening, and nesting, what complexities might arise? (Select all that apply)

A) Complexity in handling nested JSON structures
B) Limitations in processing specific JSON data sizes
C) Challenges in handling specific data types only
D) Difficulties in parsing and querying nested JSON objects

5. In Snowsight, why is the utilization of different chart types crucial for effective data analysis and interpretation?

A) Snowsight doesn't support multiple chart types.
B) It limits users' ability to visualize data accurately.
C) Different chart types offer diverse data representation.
D) Multiple chart types in Snowsight hinder data interpretation.

Solutions: