DAA-C01 exam

How do secure views enhance data analysis practices?A . They improve query performance but don't impact data security.B . Secure views limit access to data, hindering analysis.C . Secure views provide enhanced data security while enabling selective data access.D . Secure views prevent the creation of materialized views.View AnswerAnswer: C...

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...

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 formatsB . They facilitate handling complex and nested data structuresC . They limit data transformation possibilitiesD . They restrict data access for user...

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 changesB . CSV files are more efficient in handling nested data structuresC . Parquet files provide better compression and query performanceD ....

How can User-Defined Functions (UDFs) be utilized in SQL for data analysis?A . UDFs allow custom-defined operations on data, extending SQL functionalities.B . UDFs are limited to basic arithmetic operations.C . UDFs are exclusively used for database administration tasks.D . UDFs can only be applied to structured query optimization.View AnswerAnswer:...

What types of Snowflake functions are available for data analysis and manipulation? (Select all that apply)A . Scalar functionsB . System functionsC . Aggregate functionsD . Complex functionsView AnswerAnswer: A,B,C Explanation: Snowflake functions include scalar, aggregate, and system functions for data analysis and manipulation.

What factors should be considered when evaluating which transformations are required in data discovery? (Select all that apply)A . Data consistencyB . Business use casesC . Data redundancyD . Data normalizationView AnswerAnswer: A,B,D Explanation: Evaluating necessary transformations involves considering data consistency, normalization, and alignment with business use cases.

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...

How do diverse chart types (e.g., bar charts, scatter plots, heat grids) contribute to effective data presentation and visualization in reports and dashboards?A . Different chart types offer varied data representation for better analysis.B . Charts don't impact data visualization in reports or dashboards.C . Diverse chart types restrict data...

When maintaining reports and dashboards, why is it essential to configure subscriptions and updates?A . They limit data accessibility for effective dashboard usage.B . Subscriptions and updates ensure timely information delivery.C . They complicate dashboard management without any added benefits.D . Configuring these features hampers dashboard usability.View AnswerAnswer: B Explanation:...