SnowPro DAA-C01 Practice Exams
Last updated on Apr 07,2025- Exam Code: DAA-C01
- Exam Name: Snowflake Certified SnowPro Advanced - Data Analyst
- Certification Provider: SnowPro
- Latest update: Apr 07,2025
What actions are typically involved in working with and querying data in Snowflake? (Select all that apply)
- A . Using randomization techniques
- B . Employing time travel for data retrieval
- C . Identifying and handling data anomalies
- D . Leveraging materialized views for aggregations
When managing Snowsight dashboards, what significance do subscriptions and updates hold in meeting business requirements?
- A . Managing subscriptions and updates complicates dashboard usage.
- B . Subscriptions and updates have no impact on dashboard management.
- C . Subscriptions and updates ensure timely information delivery.
- D . They enhance dashboard usability without data updates.
In Snowsight, what is the significance of creating diverse chart types (e.g., bar charts, scatter plots, heat grids) for data visualization?
- A . It limits data presentation options for complex datasets.
- B . Different chart types offer varied data representation for better analysis.
- C . It restricts users to specific chart types for simplicity.
- D . Snowsight doesn’t support multiple chart types for visualization.
How do exploratory ad-hoc analyses differ from routine analysis?
- A . They involve querying known patterns without exploring further.
- B . Ad-hoc analyses deviate from established routines, exploring patterns and anomalies in data.
- C . Ad-hoc analyses focus on anomalies and established trends.
- D . Ad-hoc analyses rely heavily on predefined queries.
Which actions are typically part of responding to data import errors in Snowflake? (Select all that apply)
- A . Resuming data import immediately
- B . Resolving data inconsistencies
- C . Analyzing error logs for resolution
- D . Identifying error sources
How do aggregate functions differ from window functions in Snowflake?
- A . Aggregate functions return single values.
- B . Window functions work on entire tables.
- C . Aggregate functions operate on groups of rows.
- D . Window functions modify table structures.
In data presentations for business use analyses, what significance do identifying patterns and trends hold?
- A . It complicates data analysis, hindering decision-making.
- B . Recognizing patterns and trends limits data exploration.
- C . Patterns and trends don’t impact business use analyses significantly.
- D . Identifying patterns and trends aids in insightful analyses.
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.
How do materialized views differ from secure views in data analysis?
- A . Secure views provide precomputed snapshots, unlike materialized views.
- B . Materialized views offer enhanced data security while allowing selective data access.
- C . Secure views precompute data, unlike materialized views.
- D . Materialized views restrict data access for improved security.
How do partitioning strategies impact query performance and data storage efficiency in Snowflake?
- A . Partitioning improves query planning only
- B . Enhances query performance and reduces storage requirements
- C . Limits data access for specific user roles
- D . Reduces query performance and increases storage requirements