SnowPro DAA-C01 Übungsprüfungen
Zuletzt aktualisiert am 26.04.2025- Prüfungscode: DAA-C01
- Prüfungsname: Snowflake Certified SnowPro Advanced - Data Analyst
- Zertifizierungsanbieter: SnowPro
- Zuletzt aktualisiert am: 26.04.2025
What attributes of the Query Profile are typically assessed to understand query performance in Snowflake?
- A . Query history and user access logs
- B . Execution time and query complexity
- C . Number of user sessions and database objects accessed
- D . Hardware configuration and system resources
What types of Snowflake functions are available for data analysis and manipulation? (Select all that apply)
- A . Scalar functions
- B . System functions
- C . Aggregate functions
- D . Complex functions
How does understanding and analyzing the Query Profile contribute to query optimization in Snowflake?
- A . Facilitates query planning and execution analysis
- B . Validates query result consistency
- C . Provides real-time data updates
- D . Limits query access for specific user roles
Which action is crucial for identifying demographics and relationships during diagnostic analysis? (Select all that apply)
- A . Analyzing isolated anomalies without considering relationships
- B . Ignoring statistical trends for focused analysis
- C . Considering relationships among data variables
- D . Examining demographic variations linked to anomalies
How do materialized views differ from regular views in terms of data access and storage?
- A . Regular views offer better storage optimization compared to materialized views.
- B . Materialized views provide precomputed snapshots, unlike regular views.
- C . Materialized views restrict data access for improved security.
- D . Regular views enhance data accessibility more effectively than materialized views.
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 . Multiple chart types in Snowsight hinder data interpretation.
- D . Different chart types offer diverse data representation.
What is the primary benefit of using secure views in data analysis?
- A . Secure views offer enhanced data security while allowing selective data access.
- B . Secure views simplify complex data structures more effectively than materialized views.
- C . They prevent the creation of materialized views.
- D . They don’t impact data security but significantly enhance query performance.
In data modeling for BI requirements, when is it preferable to use a flattened data set instead of a data model?
- A . For complex data analysis needs
- B . For scenarios necessitating extensive data transformations
- C . For situations requiring high data normalization
- D . For quick and simple data exploration
How do row access policies and Dynamic Data Masking affect the creation and maintenance of reports and dashboards?
- A . Dynamic Data Masking doesn’t impact dashboard creation or maintenance.
- B . They enhance data visibility without any restrictions.
- C . Row access policies limit data visibility based on user privileges.
- D . Both policies restrict data visibility for better security.
What is the primary purpose of implementing data processing solutions?
- A . Simplify data access for users
- B . Limit data processing to batch operations
- C . Respond effectively to processing failures
- D . Automate data analysis entirely