When loading a table from an internal stage, which option helps fix errors due to string fields not being enclosed?

• A. Use FIELD_OPTIONALLY_ENCLOSED_BY to enclose strings.
• B. Add the required column to the table.
• C. Use SKIP_FILE to skip the file.
• D. Set error_on_column_count_mismatch to false.

Answer: (A)

Delimited data often causes parsing errors when string values contain the delimiter themselves and aren’t enclosed. FIELD_OPTIONALLY_ENCLOSED_BY tells Snowflake that fields may be enclosed by a specific character (commonly a quote) and should be treated as a single field even if the delimiter appears inside. This lets the loader correctly interpret string fields that aren’t consistently enclosed, avoiding mis-splitting and load failures when pulling from an internal stage.

Other options don’t address this parsing issue: adding a missing column changes the schema, not how fields are parsed; skipping the file abandons data; and turning off error_on_column_count_mismatch only affects mismatches in column counts, not how string fields are parsed when enclosure is missing.