DAA-C01

How do table functions differ from other Snowflake functions?A . They perform mathematical computations exclusively.B . Table functions modify existing table structures.C . They only operate on entire tables.D . Table functions return tables as results.View AnswerAnswer: D Explanation: Table functions return tables as results, distinguishing them from other Snowflake...

When customizing data presentations in dashboards using filtering and editing techniques, what advantages do these methods offer? (Select all that apply)A . Improved data relevancyB . Enhanced data accuracyC . Simplified data representationD . Limited data explorationView AnswerAnswer: A,B Explanation: Customizing through filtering and editing enhances data accuracy and relevancy...

When employing different modeling techniques for the consumption layer in Snowflake (e.g., dimensional, Data Vault), what factors influence the choice between these techniques?A . Preference for optimized query performanceB . Data consistency requirementsC . Complexity of data transformationsD . Availability of specific database object typesView AnswerAnswer: A,B,C Explanation: Choosing modeling...

When cleaning data, what role does using clones play in specific use-cases?A . Clones help preserve original data for audit purposes onlyB . Clones slow down the data cleaning process significantlyC . Clones aid in isolating and resolving data anomaliesD . Clones are unnecessary for data cleaning tasksView AnswerAnswer: C...

In Snowflake, what factors determine the effectiveness of using materialized views for query optimization?A . Limitations in accessing historical dataB . Compatibility with specific BI tools onlyC . Query result caching capabilitiesD . Frequency of data updates and refresh requirementsView AnswerAnswer: C,D Explanation: Materialized views' effectiveness depends on factors like...

When loading data into Snowflake using Snowsight, what functionalities does this method offer? (Select all that apply)A . Streamlined data import from external/internal stagesB . Batch data loadingC . Real-time data loadingD . Support for only structured data formatsView AnswerAnswer: A,B Explanation: Snowsight supports batch data loading and streamlined data...

How does the utilization of Regular views differ from Materialized views in data analysis?A . Materialized views provide a persisted snapshot, unlike Regular views.B . Materialized views offer limited data accessibility compared to Regular views.C . Regular views are exclusively used for exploratory analyses.D . Regular views offer better query...

How do logging and monitoring solutions contribute to data processing solutions? (Select all that apply)A . Respond to processing failures promptlyB . Automate data processing effectivelyC . Ensure real-time data processingD . Provide insights into processing statusView AnswerAnswer: A,D Explanation: Logging and monitoring solutions help respond to processing failures promptly...

Which action aids in performing a diagnostic analysis on historical data to identify reasons/causes of anomalies?A . Collecting related data and demographicsB . Focusing on isolated data pointsC . Ignoring statistical trends in historical dataD . Analyzing data solely from the past monthView AnswerAnswer: A Explanation: Collecting related data and...

What attributes of the Query Profile are typically assessed to understand query performance in Snowflake?A . Query history and user access logsB . Execution time and query complexityC . Number of user sessions and database objects accessedD . Hardware configuration and system resourcesView AnswerAnswer: B Explanation: Query Profile attributes like...