SnowPro DAA-C01 Snowflake Certified SnowPro Advanced – Data Analyst Online Training
SnowPro DAA-C01 Online Training
The questions for DAA-C01 were last updated at Mar 09,2025.
- Exam Code: DAA-C01
- Exam Name: Snowflake Certified SnowPro Advanced - Data Analyst
- Certification Provider: SnowPro
- Latest update: Mar 09,2025
Which aspects are important when making predictions based on data for forecasting purposes? (Select all that apply)
- A . Incorporating statistical methods for accurate predictions
- B . Using only basic arithmetic functions for forecasting
- C . Relying solely on historical data without considering external factors
- D . Considering trends and anomalies in historical data
When cleaning data, what role does using clones play in specific use-cases?
- A . Clones help preserve original data for audit purposes only
- B . Clones slow down the data cleaning process significantly
- C . Clones aid in isolating and resolving data anomalies
- D . Clones are unnecessary for data cleaning tasks
In what way can regular views be advantageous in data analysis?
- A . Regular views simplify complex data structures for ease of analysis.
- B . Regular views can only be utilized in combination with UDFs.
- C . Regular views don’t impact query performance significantly.
- D . They restrict data access, improving security but hindering analysis.
When performing a descriptive analysis using Snowsight dashboards, how do they assist in summarizing large data sets?
- A . Snowsight dashboards provide visual representations aiding in quick comprehension.
- B . Snowsight dashboards limit visualization options for large data sets.
- C . They offer detailed textual summaries instead of visual representations.
- D . They cannot handle large data sets efficiently for summarization.
How does performing data discovery through querying tables in Snowflake aid in data preparation?
- A . It limits data selection options.
- B . Data discovery enhances data transformation understanding.
- C . It simplifies data transformation tasks.
- D . Querying tables doesn’t impact data preparation.
How can stored procedures be beneficial in data analysis using SQL?
- A . Stored procedures are limited to read-only operations.
- B . Stored procedures can’t be used in conjunction with UDFs.
- C . They allow execution of repetitive tasks, enhancing data analysis efficiency.
- D . Stored procedures cannot handle large data sets effectively.
How can User-Defined Functions (UDFs) be utilized in SQL for data analysis?
- A . UDFs allow custom-defined operations on data, extending SQL functionalities.
- B . UDFs are limited to basic arithmetic operations.
- C . UDFs are exclusively used for database administration tasks.
- D . UDFs can only be applied to structured query optimization.
How does leveraging partition pruning enhance query performance in Snowflake?
- A . Limits data access for specific user roles
- B . Reduces metadata storage requirements
- C . Speeds up data loading processes significantly
- D . Optimizes query planning by eliminating unnecessary partitions
When managing Snowsight dashboards, what role do subscriptions and updates play in meeting business requirements?
- A . Subscriptions and updates ensure timely information delivery.
- B . They enhance dashboard usability without impacting data updates.
- C . Subscriptions and updates don’t impact dashboard management.
- D . Managing subscriptions and updates complicates dashboard usage.
Which statement accurately describes the usage of materialized views in data analysis?
- A . They offer a precomputed, persisted snapshot of data, improving query performance.
- B . Materialized views are restricted to storing small subsets of data.
- C . Materialized views are only accessible through stored procedures.
- D . Materialized views update in real-time, reflecting instantaneous changes in the database.
Latest DAA-C01 Dumps Valid Version with 100 Q&As
Latest And Valid Q&A | Instant Download | Once Fail, Full Refund
