Alright, I'm going to review my Spark notes quickly and then make my best guess. I know Spark is great for distributed processing, so I'll focus on those options.
I'm a bit unsure about the "distributed meat storage calculation engine" option. That doesn't sound like a real Spark feature, but I want to double-check before answering.
Distributed file system, unified scheduling, and stream processing - those all sound like core Spark capabilities to me. I'm pretty confident I can get this one right.
Okay, let's see. I know Spark has a distributed processing engine, so that's probably related to the "distributed file system" and "unified scheduling" options. But I'm not sure about the "stream processing" one.
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