SOL-C01 Exam Dumps | You are developing a Streamlit application that visualizes data from a Snowflake table called `CUSTOMER

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Snowflake.SOL-C01.v2026-01-13.q155
Question 73

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Question 73/155

You are developing a Streamlit application that visualizes data from a Snowflake table called
`CUSTOMER ORDERS. The application needs to display the total order amount for each customer, but the dataset is large. Which of the following Snowflake features, combined with Streamlit's caching capabilities, would be the MOST effective to optimize query performance and reduce costs?

A. Use 'ORDER BY clause in the SQL query to sort the results before sending them to Streamlit.

B. Create a Snowflake View that pre-aggregates the total order amount per customer. Query this view from the Streamlit application, and use `st.cache_data' to cache the results in Streamlit.

C. Create a Snowflake external table linked to CSV files containing customer order data and query that table. This allows Streamlit to cache more efficiently.

D. Use a Snowflake User-Defined Function (IJDF) written in Python to calculate the total order amount per customer within the Streamlit application.

E. Import the entire table into a Pandas DataFrame within the Streamlit app and perform the aggregation using Pandas functions.

Correct Answer: B

Option B is the most effective solution. Creating a Snowflake View pre-aggregates the data, reducing the amount of data transferred and processed. Using 'st.cache_data' then ensures that Streamlit caches the results of the query, preventing unnecessary database calls on subsequent runs. Ordering data (A) doesnt improve performance, external table is not related here (C) , UDF in streamit is expensive and defeats the purpose (D) and loading entire table is not scaleable (E) .

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