Why might you confirm how the data is being read before you confirm how it is written?

• A. It is easiest to debug how the data is read
• B. Debugging how the data is transformed will cause errors
• C. It is not possible to debug read/write order
• D. Problems earlier in the workspace can affect the rest of the workspace

Answer: (B)

In a data workflow, the input you read sets up everything that follows: the actual attributes, their data types, and even geometry. Knowing exactly how data is read locks in what the downstream transforms will see, so you’re debugging against a concrete, stable input rather than chasing issues caused by unknowns in the source. If you jump into debugging the transformation or writing steps without first confirming the read behavior, you’re more likely to encounter errors that stem from mismatched input—missing attributes, wrong types, or unexpected data shapes—which can mislead you about where the real problem lies. By verifying how the data is read first, you normalize the starting point, making any downstream debugging more reliable and meaningfully focused on the transformation logic itself.