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
How does leveraging window functions in Snowflake differ from using table functions for data manipulation?
- A . Table functions generate tables as output
- B . Table functions are limited to specific data types only
- C . Window functions operate on entire datasets
- D . Window functions modify table structures directly
How do row access policies and Dynamic Data Masking affect the creation and maintenance of reports and dashboards?
- A . Row access policies limit data visibility based on user privileges.
- B . Dynamic Data Masking doesn’t influence dashboard creation.
- C . They offer unrestricted data visibility for all users.
- D . Both policies restrict data visibility for better security.
In Snowsight, why is it significant to create various chart types (e.g., bar charts, scatter plots, heat grids) for data visualization?
- A . It restricts users to specific chart types for simplicity.
- B . It limits data presentation options for complex datasets.
- C . Snowsight doesn’t support multiple chart types for visualization.
- D . Different chart types offer varied data representation for better analysis.
When performing forecasting, which factors are essential for accurate predictions? (Select all that apply)
- A . Examining trends and anomalies in historical data
- B . Incorporating statistical methods for prediction accuracy
- C . Using basic arithmetic functions exclusively for forecasting
- D . Relying solely on historical data without considering external influences
What role do system functions play in data manipulation within Snowflake?
- A . They solely work on numeric data.
- B . They modify database structures.
- C . System functions manage query execution plans.
- D . System functions perform administrative tasks.
What actions are involved in performing general DML (Data Manipulation Language) operations in Snowflake? (Select all that apply)
- A . Merging data from multiple tables
- B . Updating existing data
- C . Deleting data entirely
- D . Inserting new data
When performing a diagnostic analysis, which actions aid in collecting related data to identify anomalies? (Select all that apply)
- A . Collecting data from various sources
- B . Ignoring statistical trends for focused analysis
- C . Analyzing data in isolation
- D . Focusing solely on recent data for insights
When working with semi-structured data in Snowflake, how do built-in functions for traversing, flattening, and nesting aid in data manipulation?
- A . They only work with specific file formats
- B . They facilitate handling complex and nested data structures
- C . They limit data transformation possibilities
- D . They restrict data access for user roles
When performing a diagnostic analysis, what action aids in identifying demographics and relationships? (Select all that apply)
- A . Ignoring data relationships for focused analysis
- B . Focusing solely on isolated data points
- C . Analyzing statistical trends
- D . Collecting related data
Which aspects are crucial for making predictions based on data for forecasting purposes? (Select all that apply)
- A . Using only basic arithmetic functions for forecasting
- B . Considering trends and anomalies in historical data
- C . Incorporating statistical methods for accurate predictions
- D . Relying solely on historical data without considering external factors