DAA-C01

Which statement accurately describes the usage of materialized views in data analysis?A . They offer a precomputed, persisted snapshot of data, improving query performance.B . Materialized views are restricted to storing small subsets of data.C . Materialized views are only accessible through stored procedures.D . Materialized views update in real-time,...

How do Materialized views differ from Regular views in the context of data analysis?A . Regular views offer precomputed snapshots, differentiating them from Materialized views.B . Materialized views restrict data accessibility compared to Regular views.C . Materialized views simplify complex data structures for ease of analysis, unlike Regular views.D ....

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.View AnswerAnswer: D Explanation: Operationalizing data ensures...

How do exploratory ad-hoc analyses differ from routine analysis?A . They involve querying known patterns without exploring further.B . Ad-hoc analyses deviate from established routines, exploring patterns and anomalies in data.C . Ad-hoc analyses focus on anomalies and established trends.D . Ad-hoc analyses rely heavily on predefined queries.View AnswerAnswer: B...

Which considerations are part of best practice for ensuring data integrity structures in Snowflake? (Select all that apply)A . Establishing parent-child table joinsB . Ensuring data normalizationC . Implementing redundant constraintsD . Using primary keys for tablesView AnswerAnswer: A,D Explanation: Data integrity practices in Snowflake involve using primary keys for...

What actions are typically involved in working with and querying data in Snowflake? (Select all that apply)A . Using randomization techniquesB . Employing time travel for data retrievalC . Identifying and handling data anomaliesD . Leveraging materialized views for aggregationsView AnswerAnswer: A,B,C,D Explanation: Working with Snowflake data involves identifying anomalies,...

When connecting BI tools to Snowflake for dashboard creation, what factors need to be considered for seamless integration? (Select all that apply)A . Network latency between BI tool and SnowflakeB . Data encryption requirementsC . Availability of a Snowflake account onlyD . Compatibility of BI tool with SnowflakeView AnswerAnswer: A,B,D...

Which statement accurately describes the use of regular views in data analysis?A . Regular views are exclusively used for administrative tasks.B . Regular views limit data accessibility for improved security.C . They simplify complex data structures, aiding ease of analysis.D . Regular views offer real-time updates to reflect instantaneous database...

When working with Snowsight dashboards to summarize large data sets, what key advantage do they offer in exploratory analyses?A . Snowsight dashboards facilitate quick, visual comprehension of complex data.B . They only support basic data summarization.C . They are limited to presenting static data sets.D . Snowsight dashboards can't handle...

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.View AnswerAnswer: C Explanation: Snowsight dashboards...