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
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 implementing data processing solutions, how does aggregating and enriching data contribute to the overall data analysis process?
- A . Limits data correlation possibilities
- B . Enhances data granularity
- C . Increases data redundancy
- D . Slows down data retrieval speed
How can incorporating visualizations in reports and dashboards facilitate better data comprehension and analysis for business use scenarios?
- A . Visualizations don’t impact data comprehension or analysis significantly.
- B . Presenting data visually increases complexity in analysis.
- C . Visualizations limit data exploration and analysis capabilities.
- D . They enhance data comprehension, aiding effective analysis.
How do automated and repeatable tasks contribute to maintaining reports and dashboards to meet business requirements?
- A . Automated tasks increase complexity in dashboard management.
- B . They hinder scalability in reports and dashboards.
- C . Automated tasks ensure consistency and reduce manual effort.
- D . Repeatable tasks solely enhance data updates in dashboards.
When choosing between using a dimensional model and a flattened dataset for BI requirements in Snowflake, what considerations impact the final decision? (Select all that apply)
- A . Query performance expectations
- B . User access control requirements
- C . Query execution plan constraints
- D . Data denormalization and redundancy needs
How do secure views contribute to data analysis practices in terms of access control and data security?
- A . Secure views enhance data security while allowing selective data access.
- B . They restrict data access but don’t impact data security.
- C . They prevent the creation of materialized views.
- D . Secure views limit data accessibility for improved security.
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 presentations for business use analyses, why is identifying patterns and trends crucial?
- A . Patterns and trends have minimal impact on business use analyses.
- B . It complicates data analysis, hindering decision-making.
- C . Recognizing patterns and trends restricts data exploration.
- D . Identifying patterns and trends aids in insightful analyses.
When managing Snowsight dashboards, what role do subscriptions and updates play in meeting business requirements?
- A . Managing subscriptions and updates complicates dashboard usage.
- B . They enhance dashboard usability without impacting data updates.
- C . Subscriptions and updates ensure timely information delivery.
- D . Subscriptions and updates don’t impact dashboard management.
When considering row access policies and Dynamic Data Masking in Snowflake, how do they influence data visibility and security?
- A . Grant unrestricted access to all data
- B . Limit data access based on user roles
- C . Only apply to certain data types
- D . Dynamically mask sensitive data for specific users