Option B is the way to go, folks. It's like the Swiss Army knife of IBM cloud analytic services - it does everything you need to get the job done, and it does it well. No need to overthink this one.
Option D sounds like it's trying to do too much. I mean, AI lifecycle management, prebuilt Watson apps, and API for Watson's full suite of languages, speech, vision, and empathy models? That's a lot of stuff. I think option B is the most focused and relevant answer.
Haha, option A is like saying the purpose of a Ferrari is to provide a cloud-based messaging service. Come on, guys, let's get serious here. The answer is clearly option B.
The question is asking about the purpose of IBM cloud analytic services, and option C seems to be the correct answer. It provides a simple way to find new and unexpected insights to quickly deliver business-challenging results.
B) Provide an integrated set of solutions Or a toolchain to remove manual steps, reduce errors, increase team agility, and scale beyond small, isolated teams.
I think the purpose of IBM cloud analytic services is to provide an integrated set of solutions or a toolchain to remove manual steps, reduce errors, increase team agility, and scale beyond small, isolated teams. Option B seems to be the most comprehensive answer.
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