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Databricks Certified Data Engineer Associate · Databricks
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- Correct answer : A — The query fails, because Spark SQL only allows one `explode` (or other generator function) to appear in a single `SELECT` clause; the two arrays need to be exploded in separate steps. A . Spark SQL restricts a `SELECT` clause to a single generator function such as `explode`; including two `explode` calls in the same clause raises an analysis error, and the two array expansions must instead be done through separate, chained `SELECT` statements or lateral views. B . A single `explode` call does not perform a cross product between two different array columns; more importantly, the statement does not even run successfully because two generator functions cannot coexist in one `SELECT` clause. C . Spark SQL does not silently drop one of two `explode` calls in the same clause; the presence of two generator functions in a single `SELECT` causes the query to fail validation rather than quietly ignoring one of them. D . There is no positional zip behavior built into having two `explode` calls in one `SELECT` clause; the query does not reach execution at all because Spark SQL rejects multiple generator functions in the same clause.