What is the consequence of loading data without validating its structure?
Select an answer to reveal the explanation.
Short Explanation
It doesn't fail loudly—that's the problem. Bad rows land in the table, queries keep running, and you discover the issue weeks later when a number looks wrong.
Full Explanation
Skipping validation doesn't produce an obvious failure; it produces silent contamination. Nulls where values were expected, shifted columns, or truncated fields land in the table and are only noticed when a downstream figure looks wrong, by which time the offending load is hard to identify. The claim that the load will always fail is wrong because the load generally succeeds—the absence of a check is precisely why nothing stops it. The claim that the data becomes unqueryable until an administrator validates it manually is wrong because the table remains queryable; it just returns unreliable results. The claim that object storage refuses the write because the schema is unknown is wrong because object storage writes bytes without interpreting them; enforcement belongs to the pipeline and table definition. For the exam, the risk of skipping validation is silent, late-discovered data quality failure.