An XSIAM engineer is observing that a specific custom log source, which frequently contains corrupted or malformed log entries (e.g., incomplete JSON, truncated strings), is causing downstream XQL queries to fail or return inconsistent results, even though the Data Flow parser is designed to handle common cases. This impacts the reliability of security analytics. Which combination of Data Flow practices would best mitigate the impact of these malformed entries on data quality and query reliability, while ensuring valid data is still processed?