COF-C03 Data Loading, Unloading, and Connectivity Practice Question
A data engineer needs to verify the structure and content of several CSV files staged in an internal Snowflake stage without actually loading the data into the production table or incurring significant compute costs. Which parameter should be used with the COPY INTO command to achieve this specific goal?
⚠ Common exam trap
Candidates attempt to use standard SELECT queries on internal stages to check file structures, forgetting that staged files must be evaluated using the COPY INTO command with validation parameters.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
VALIDATION_MODE = RETURN_ERRORS
The VALIDATION_MODE parameter is specifically designed to parse staged files and return errors or data samples without performing an actual load. This prevents unnecessary data ingestion while allowing engineers to identify formatting issues or schema mismatches early in the development lifecycle. It is a cost-effective method to ensure data quality before executing a full production data pipeline.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
ON_ERROR = ABORT_STATEMENT
Why it's wrong here
This parameter controls the behavior of the COPY command when an error is actually encountered during the loading process. It does not prevent the load from starting, but rather ensures the entire transaction is rolled back if a single error occurs, which is the opposite of a validation-only check.
- ✓
VALIDATION_MODE = RETURN_ERRORS
Why this is correct
Using this specific value for the validation parameter instructs Snowflake to scan the files and report all errors encountered in the data. No data is actually loaded into the table, making it an ideal choice for pre-load checks and debugging file format issues without consuming credits for data ingestion.
- ✗
PURGE = FALSE
Why it's wrong here
Setting the purge option determines whether Snowflake deletes the source files from the stage after a successful load operation. While it is often set to false for debugging purposes, it has no impact on the validation of data and does not prevent the actual loading of rows into the table.
- ✗
FORCE = TRUE
Why it's wrong here
The force parameter is used to load files that have already been loaded previously or have not changed since the last load. It bypasses the load metadata check but still performs a full data ingestion, which would result in duplicate data and consume compute resources unnecessarily in this scenario.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Snowflake exam blueprint
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