In performing data discovery to identify necessary elements from available datasets, what role do metadata play in this process?
In performing data discovery to identify necessary elements from available datasets, what role do metadata play in this process?A . Metadata impacts data transformation processes.B . Metadata has no role in data discovery.C . Metadata provides insights into data structure only.D . Metadata helps in data lineage understanding.View AnswerAnswer: D...
When maintaining reports and dashboards, why is it crucial to configure subscriptions and updates?
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.View AnswerAnswer: C Explanation:...
When performing forecasting using statistics and built-in functions, what role do these functions play?
When performing forecasting using statistics and built-in functions, what role do these functions play?A . They solely aid in data visualization without impacting the forecasting process.B . They restrict forecasting to predefined models without flexibility.C . They enable the creation of custom forecasting models as needed.D . These functions only...
Which actions are pertinent in identifying demographics and relationships during diagnostic analysis? (Select all that apply)
Which actions are pertinent in identifying demographics and relationships during diagnostic analysis? (Select all that apply)A . Analyzing statistical trendsB . Collecting related dataC . Ignoring data relationships for focused analysisD . Examining anomalies in isolationView AnswerAnswer: A,B Explanation: Analyzing statistical trends and collecting related data are crucial in identifying...
What role does operationalizing data play in maintaining reports and dashboards for business requirements?
What role does operationalizing data play in maintaining reports and dashboards for business requirements?A . It limits the usability of reports by narrowing down access.B . Operationalizing data ensures consistent and efficient usage.C . Operationalizing data complicates dashboard management.D . It restricts data updates, affecting dashboard accuracy.View AnswerAnswer: B Explanation:...
Which statement accurately describes the usage of materialized views in data analysis?
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?
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?
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?
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)
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...