DAA-C01 Exam Dumps | A Snowflake data analyst needs to identify the top 5 most common errors occurring in a data loading pipeline

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Question 91/151

A Snowflake data analyst needs to identify the top 5 most common errors occurring in a data loading pipeline over the past week. The error messages are stored in a table named 'LOAD ERRORS' with columns 'error_timestamp' (TIMESTAMP NTZ) and 'error message' (VARCHAR). Which SQL query provides the most efficient and accurate way to retrieve this information, ordered by frequency?

A. Option A

B. Option B

C. Option C

D. Option D

E. Option E

Correct Answer: A

Option A is the most efficient and accurate. It uses 'DATEADD with to ensure the correct time frame is considered (including the current time), and 'GROUP BY and 'ORDER BY are used correctly to find the top 5 most frequent errors. Option B excludes errors happening today by using 'CURRENT_DATE(Y. Option C casts error_timestamp to DATE which can impact performance and might cause issues if the index is available on error_timestamp, but not DATE(error_timestamp). Option D only shows errors from the current week. Option E is incorrect. It returns error_timestamp which is a date, therefore its incorrect

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