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 10,2025.
- Exam Code: DAA-C01
- Exam Name: Snowflake Certified SnowPro Advanced - Data Analyst
- Certification Provider: SnowPro
- Latest update: Mar 10,2025
When customizing data presentations in dashboards using filtering and editing techniques, what advantages do these methods offer? (Select all that apply)
- A . Improved data relevancy
- B . Enhanced data accuracy
- C . Simplified data representation
- D . Limited data exploration
When selecting data for building dashboards, which factors should be considered to ensure relevance and usability? (Select all that apply)
- A . Evaluating data based on business requirements
- B . Filtering data based on irrelevant attributes
- C . Ignoring data complexities for simplicity in visualization
- D . Including all available data for comprehensive visualization
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
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 does operationalizing data play in maintaining reports and dashboards for business requirements?
- A . It limits the usability of reports by narrowing down access.
- B . Operationalizing data ensures consistent and efficient usage.
- C . Operationalizing data complicates dashboard management.
- D . It restricts data updates, affecting dashboard accuracy.
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.
When handling CSV, JSON, and Parquet data types for consumption, what advantages do Parquet files typically offer over the others?
- A . JSON files offer more flexibility in schema changes
- B . CSV files are more efficient in handling nested data structures
- C . Parquet files provide better compression and query performance
- D . Parquet files are not suitable for large datasets
How do Snowsight dashboards facilitate the presentation of data for business use analyses?
- A . Snowsight dashboards are exclusively text-based, limiting analyses.
- B . Snowsight limits data representation options, hindering analyses.
- C . They enable diverse data representation for effective analyses.
- D . Snowsight doesn’t support visual data representation.
When loading data into Snowflake using Snowsight, what functionalities does this method offer? (Select all that apply)
- A . Streamlined data import from external/internal stages
- B . Batch data loading
- C . Real-time data loading
- D . Support for only structured data formats
What actions are involved in data discovery to identify necessary elements from available datasets in Snowflake? (Select all that apply)
- A . Running SQL queries on tables
- B . Evaluating necessary transformations
- C . Performing data mining techniques
- D . Identifying missing data fields
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