What considerations are essential when identifying the volume of data to be collected in a collection system? (Select all that apply)
What considerations are essential when identifying the volume of data to be collected in a collection system? (Select all that apply)A . Data redundancy requirementsB . Speed of data retrievalC . Frequency of data analysisD . Available storage capacityView AnswerAnswer: C,D Explanation: Identifying the volume of data involves considering available...
When utilizing geospatial functions in Snowflake, what functionalities do these functions offer? (Select all that apply)
When utilizing geospatial functions in Snowflake, what functionalities do these functions offer? (Select all that apply)A . Geometric calculationsB . Location-based data analysisC . Data encryptionD . Spatial indexingView AnswerAnswer: A,B,D Explanation: Geospatial functions in Snowflake support geometric calculations, location-based analysis, and spatial indexing for geospatial data.
How does understanding and analyzing the query execution plan contribute to query optimization in Snowflake?
How does understanding and analyzing the query execution plan contribute to query optimization in Snowflake?A . Restricts access to query resultsB . Facilitates identifying hardware limitationsC . Helps in generating real-time data updatesD . Aids in understanding query processing steps and bottlenecksView AnswerAnswer: D Explanation: Analyzing the query execution plan...
What actions are involved in performing general DML (Data Manipulation Language) operations in Snowflake? (Select all that apply)
What actions are involved in performing general DML (Data Manipulation Language) operations in Snowflake? (Select all that apply)A . Merging data from multiple tablesB . Updating existing dataC . Deleting data entirelyD . Inserting new dataView AnswerAnswer: B,C,D Explanation: General DML operations in Snowflake include inserting, updating, and deleting data.
How does performing data discovery through querying tables in Snowflake aid in data preparation?
How does performing data discovery through querying tables in Snowflake aid in data preparation?A . It limits data selection options.B . Data discovery enhances data transformation understanding.C . It simplifies data transformation tasks.D . Querying tables doesn't impact data preparation.View AnswerAnswer: B Explanation: Querying tables in Snowflake aids in understanding...