Exam DEA-C02 Topic 1 Question 181 Discussion

Actual exam question for Snowflake's DEA-C02 exam
Question #: 181
Topic #: 1

You're designing a Snowpark Scala stored procedure that must execute a series of complex data quality checks on a Snowflake table.
These checks involve multiple steps, including validating data types, checking for null values, and verifying data consistency against external reference data'. You want to ensure that the stored procedure is resilient to errors, provides detailed logging, and can be easily monitored. Which of the following approaches would be the MOST robust and scalable for handling errors and logging within this Snowpark Scala stored procedure?

A. Wrap each data quality check in a try-catch block and use 'println' statements to log error messages to the Snowflake console. B. Use Scala's 'Option' type to handle potential null values and exceptions. Return a string message indicating success or failure for each check. Log these messages using 'System.out.println'. C. Implement a custom logging framework within the Scala stored procedure that writes detailed logs to a dedicated Snowflake table. Use try-catch blocks to handle exceptions and log error details, including timestamps, error codes, and relevant data values. Use Snowflake's 'SYSTEM$LAST QUERY ID()' function to track query lineage. D. Rely on Snowflake's built-in error handling and logging mechanisms. If an error occurs, the stored procedure will automatically fail, and the error details can be retrieved from Snowflake's query history. E. Use Scala's 'Try' monad to handle exceptions, mapping successes to informational messages and failures to error messages. Log these messages using Snowflake's event tables.

Suggested Answer: C Vote an answer

Option C provides the most robust and scalable solution. Writing logs to a dedicated Snowflake table allows for detailed analysis and monitoring of data quality checks. Using try-catch blocks provides granular error handling, and including timestamps and error codes in the logs facilitates troubleshooting. provides query lineage. Options A and B are insufficient because 'println' and 'System.out.println' log to the session's output but lack persistence and are difficult to analyze at scale. Option D relies on Snowflake's general error handling but lacks detailed custom logging. Option E relies on internal event tables which the developer does not have control or access to.

by Blake at Oct 16, 2025, 03:46 AM

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