Q: 10
Which query is performing a streaming hop from raw data to a Bronze table?
A)
B)
C)
D)
B)
C)
D)
Options
Discussion
Had something like this in a mock and picked C.
C/D? The question asks about a streaming hop specifically, so unless readStream and writeStream are both used (like in D), it's technically not streaming. C would only fit if batch was acceptable for Bronze loads. Seen some practice sets trip people up on this.
D is the match for streaming hop, since it uses both readStream and writeStream with minimal logic. That's usually what Databricks expects for ingesting raw to Bronze. Confident but open if anyone caught something I missed.
Why is B even in the mix here? It isn't using the correct streaming pattern for Bronze.
Saw exactly similar question in my exam, it's D
Looks like D here. Only D shows both readStream and writeStream, which you have to have for a real streaming step from raw to Bronze. If they wanted batch, C would make sense, but "streaming hop" flips this. Pretty sure that's what the exam expects, but open if someone finds an edge case.
Its C for me, since it uses write with mode("append") which looks like it's moving raw data to Bronze. I don't see readStream there though, but I thought batch ingestion is fine for initial Bronze load. Tell me if you think only streaming APIs count!
C/D? Had something like this in a mock, went C for batch Bronze writes.
Not seeing any aggregations or batch-only logic in D, just a straight readStream then writeStream to Bronze. That's the purest "streaming hop" from raw out of all the options. D makes sense unless there's something subtle about validation I'm missing, but pretty sure it's right. Disagree?
I actually think C fits here. The code in option C does use a basic append, and if the Bronze table just needs to store raw ingested data without needing full streaming semantics, batch writes like this might be enough. Not 100% sure though, maybe I’m reading the streaming requirement too loosely. Anyone see practice questions where C is correct?
Be respectful. No spam.
