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SOL-C01 · Question #253

A data engineer is using Snowflake Notebooks to perform exploratory data analysis on a large dataset stored in a Snowflake table called 'ORDERS. They want to calculate the total order amount per day a

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Querying and Performance

Question

A data engineer is using Snowflake Notebooks to perform exploratory data analysis on a large dataset stored in a Snowflake table called 'ORDERS. They want to calculate the total order amount per day and visualize the results as a line chart directly within the notebook. Which sequence of actions represents the MOST efficient and correct way to achieve this?

Options

  • AWrite a SQL query within the notebook to calculate the total order amount per day, store the result
  • BExport the 'ORDERS' table as a CSV file, load it into a separate Python environment, perform the
  • CUse the SnowflakeUIto create a view that calculates the total order amount per day, then import
  • DWrite a Javascript function within the Snowflake Notebook to fetch the data using fetch API and
  • ECreate a stored procedure in Snowflake that calculates the total order amount per day and returns

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Topics

#Snowflake Notebooks#SQL Querying#Data Aggregation#Exploratory Data Analysis
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