DAA-C01

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...

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)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?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)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?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...