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 Apr 22,2025.
- Exam Code: DAA-C01
- Exam Name: Snowflake Certified SnowPro Advanced - Data Analyst
- Certification Provider: SnowPro
- Latest update: Apr 22,2025
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
How do table functions differ from other Snowflake functions?
- A . They perform mathematical computations exclusively.
- B . Table functions modify existing table structures.
- C . They only operate on entire tables.
- D . Table functions return tables as results.
How do row access policies and Dynamic Data Masking impact the creation of dashboards in terms of data visibility and security?
- A . Dynamic Data Masking doesn’t affect data visibility in dashboards.
- B . Both policies restrict data visibility for better security.
- C . They improve data visibility for all users without restrictions.
- D . Row access policies limit data visibility based on user privileges.
How do row access policies and Dynamic Data Masking affect the creation and maintenance of reports and dashboards?
- A . Both policies restrict data visibility for better security.
- B . Dynamic Data Masking doesn’t impact dashboard creation or maintenance.
- C . Row access policies limit data visibility based on user privileges.
- D . They enhance data visibility without any restrictions.
When selecting and implementing an effective data model, what considerations are crucial for ensuring its suitability for BI requirements? (Select all that apply)
- A . Scalability and flexibility
- B . Conformity to specific database standards only
- C . Extensive data denormalization
- D . Performance and ease of maintenance
What considerations are essential when identifying the volume of data to be collected in a collection system? (Select all that apply)
- A . Data redundancy requirements
- B . Speed of data retrieval
- C . Frequency of data analysis
- D . Available storage capacity
What is the primary benefit of using User-Defined Functions (UDFs) in SQL for data analysis?
- A . They enable customization and extension of SQL functionalities for specific data operations.
- B . UDFs restrict data analysis to predefined operations.
- C . UDFs can only be used with Materialized views.
- D . UDFs hinder query optimization.
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
How does operationalizing data contribute to maintaining reports and dashboards for business requirements?
- A . It limits data accessibility for effective dashboard usage.
- B . Operationalizing data complicates dashboard sharing.
- C . It restricts data updates, affecting dashboard accuracy.
- D . Operationalizing data ensures consistent and efficient usage.
How do logging and monitoring solutions contribute to data processing solutions? (Select all that apply)
- A . Respond to processing failures promptly
- B . Automate data processing effectively
- C . Ensure real-time data processing
- D . Provide insights into processing status
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