Practice Free DAA-C01 Exam Online Questions
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
C
Explanation:
Window functions process data within specified partitions or frames, while table functions generate tables as their output, differing in their scope and operation.
How do stored procedures contribute to data analysis efficiency in SQL compared to UDFs?
- A . UDFs enhance query performance more effectively than stored procedures.
- B . Stored procedures hinder customization in data operations.
- C . They enable the execution of repetitive tasks, enhancing efficiency.
- D . Stored procedures allow limited data accessibility for improved security.
C
Explanation:
Stored procedures enhance efficiency by enabling the execution of repetitive tasks.
When maintaining reports and dashboards, why is it crucial to configure subscriptions and updates?
- A . They complicate dashboard management without any added benefits.
- B . They limit data accessibility for effective dashboard usage.
- C . Subscriptions and updates ensure timely information delivery.
- D . Configuring these features hampers dashboard usability.
C
Explanation:
Subscriptions and updates ensure timely information delivery, a crucial aspect of maintaining reports and dashboards.
When identifying and accessing relevant data from the Snowflake Marketplace, what challenges might arise in correlating external datasets with available data?
- A . Limited external data sources
- B . High data redundancy
- C . Inability to access marketplace data
- D . Data format compatibility issues
D
Explanation:
Correlating external datasets might face challenges due to data format compatibility issues between different sources.
What is the primary purpose of implementing data processing solutions?
- A . Simplify data access for users
- B . Limit data processing to batch operations
- C . Respond effectively to processing failures
- D . Automate data analysis entirely
C
Explanation:
Data processing solutions help respond effectively to processing failures for uninterrupted operations.
How do stored procedures contribute to the efficiency of data analysis using SQL?
- A . Stored procedures can’t be used in conjunction with user-defined functions (UDFs).
- B . Stored procedures enable the execution of repetitive tasks, enhancing efficiency.
- C . They solely facilitate basic arithmetic operations.
- D . They limit data accessibility, hindering analysis.
B
Explanation:
Stored procedures enhance efficiency by enabling the execution of repetitive tasks.
When connecting BI tools to Snowflake for dashboard creation, what considerations are crucial for seamless integration? (Select all that apply)
- A . Data encryption requirements
- B . Network latency between BI tool and Snowflake
- C . Availability of a Snowflake account only
- D . Compatibility of BI tool with Snowflake
A,B,D
Explanation:
Seamless integration requires considering compatibility, encryption, and network latency between BI tools and Snowflake.
How can automated and repeatable tasks contribute to maintaining reports and dashboards in meeting business requirements?
- A . They solely increase the complexity of dashboard management.
- B . Repeatable tasks hinder data updates in dashboards.
- C . They limit the scalability of dashboards and reports.
- D . Automated tasks ensure consistency and reduce manual effort.
D
Explanation:
Automated tasks ensure consistency and reduce manual effort in maintaining reports and dashboards.
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.
D
Explanation:
Operationalizing data ensures consistent and efficient usage of reports and dashboards.
What is the primary benefit of connecting BI tools to Snowflake for dashboard creation?
- A . Improved data security in dashboards
- B . Seamless integration and data visualization
- C . BI tools restrict dashboard customization
- D . Simplified data access for all users
B
Explanation:
Connecting BI tools to Snowflake enables seamless integration and data visualization in dashboard creation.