Free Databricks Certified Data Analyst Associate Actual Exam Questions - Question 14 Discussion

I’d say it’s C too, but for a slightly different reason: higher-order functions like map and reduce are designed to handle operations over collections or arrays efficiently, especially when dealing with big data frameworks. Options A and B feel off since they don’t really capture the “at scale” aspect or the array focus. D and E seem unrelated to when you’d specifically pick higher-order functions over other tools. So, applying custom logic at scale on array-like data fits best with C.

It’s C, because higher-order functions excel at handling operations on arrays and collections at scale.

A imo, higher-order functions are super handy when you want to apply custom logic without getting into complex nested structures. It’s more about making your code cleaner and reusable for simple datasets rather than dealing with arrays at scale, which might be more specific to distributed systems like Spark. So if the question isn’t explicitly about big data frameworks, A feels like a safe bet for using higher-order functions in general programming contexts.

C, because higher-order functions are great for applying logic across complex array data efficiently.

A/B? Not sure B fits since higher-order functions don't really convert to native code.

Option D doesn’t make sense because higher-order functions aren’t about speeding up slow built-ins. They’re more about flexibility with function inputs or outputs, not performance fixes.

C, because they're ideal for applying custom logic across complex array data efficiently.

A imo, higher-order functions aren’t just for simple or unnested data, but they really shine with complex structures like arrays, which points away from A. Also, D and E seem off because higher-order functions aren’t about speeding up built-in functions or dealing with the Catalyst Optimizer directly. B doesn't fit either since converting logic to Python-native code isn’t their main use. So C still looks like the cleanest choice for handling custom logic at scale with array data objects.

C makes the most sense since higher-order functions are great for applying custom logic to array or complex data structures at scale.