You are responsible for maintaining a dashboard that visualizes sales data'. The dashboard relies on a Snowflake view named 'SALES SUMMARY. Users have reported slow refresh times, especially when filtering by date. The 'SALES SUMMARY view is defined as follows:

Which of the following actions could significantly improve the dashboard's performance when filtering by date, assuming 'SALES_TRANSACTIONS' table is large?

• A.Create a materialized view on top of
• B.Create a search optimization policy on the DATE column of the SALES_TRANSACTIONS table.
• C.Add a 'ORDER BY DATE clause to the 'SALES SUMMARY' view definition.
• D.Partition the 'SALES_TRANSACTIONS' table by the DATE column.
• E.create a clustering key on the DATE column in the 'SALES_TRANSACTIONS' table.

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You are tasked with analyzing website clickstream data stored in a Snowflake table called 'clickstream_events'. Each row represents a click event and contains a 'session_id' , and a 'properties' column of type VARIANT that stores key-value pairs related to the event (e.g., '(page': '[product/123', 'element': You need to extract the 'page' and 'element' values from the 'properties' column and identify the most common 'page'-'element' combinations for each 'session_id'. Furthermore you need to limit the results of your data to the top 5 pages element pair. How can this task be accomplished using Snowflake table functions and analytical functions?

• A.Use LATERAL FLATTEN to extract the keys and values from the 'properties' column, then use GROUP BY 'session_id', 'key', 'value' and COUNT( ) to find the most frequent combinations.
• B.Use multiple LATERAL FLATTEN calls, one for 'page' and one for 'element', then JOIN the results on and use QUALIFY ROW_NUMBER() OVER (PARTITION BY 'session_id' ORDER BY COUNT( ) DESC) 5.
• C.Extract 'page' and 'element' using 'properties:page' and 'properties:element' directly in the SELECT statement, then use GROUP BY 'session_id', 'page', 'element' and QUALIFY ROW NUMBER() OVER (PARTITION BY 'session_id' ORDER BY COUNT( ) DESC) 5.
• D.Create a UDF to parse the 'properties' VARIANT and return a table with 'page' and 'element columns, then JOIN this UDF's output with the original table and use QUALIFY ROW NUMBER() OVER (PARTITION BY 'session_id' ORDER BY COUNT( ) DESC) 5.
• E.First create a view that flattens the JSON column using LATERAL FLATTEN, then select from this view to perform the group by and ranking operations.

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When managing Snowsight dashboards, what role do subscriptions and updates play in meeting business requirements?

• A.Managing subscriptions and updates complicates dashboard usage.
• B.They enhance dashboard usability without impacting data updates.
• C.Subscriptions and updates ensure timely information delivery.
• D.Subscriptions and updates don't impact dashboard management.

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You have a table 'CUSTOMER LOCATIONS with customer IDs and their geographical locations in WGS 84 format stored in 'LATITUDE' (FLOAT) and 'LONGITUDE' (FLOAT) columns. You need to create a new table 'CUSTOMER GEOGRAPHY' with a 'LOCATION' column of GEOGRAPHY type derived from these latitude and longitude values. Which of the following statements, used individually or in combination, are necessary and correct to accomplish this?

• A.Option A
• B.Option B
• C.Option C
• D.Option D
• E.Option E

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Which Snowflake feature allows users to encapsulate a series of SQL statements into a reusable database object, facilitating modular code development?

• A.Common Table Expressions (CTE)
• B.User-Defined Function (UDF)
• C.Stored procedure
• D.Materialized view

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