Options A and C represent the most appropriate solutions. Option A provides explicit error handling in Python, allowing the notebook to continue execution even if some SQL queries fail. It is simple to implement and offers good control over error logging. Option C encapsulates the checks in stored procedures within Snowflake. This allows for modularity and allows Snowflake to handle transaction management (e.g. error handling) for each data quality check individually, improving fault tolerance. It also allows for easier reuse and maintainability. Option B doesn't provide a direct way to determine if the query succeeded in returning the correct result; it only checks for a commit time. Option D is relevant for handling errors within the data itself, but doesn't prevent a query from failing entirely. Option E doesn't log/handle the errors; it only retries them.