Q: 11
Data Engineering is 80%+ of most AI projects, so building a good Data Engineering Environment is key to AI Project Success. As the manager of this project, you need to make sure you have correct staffing needs. What's the most critical role to staff for in the Big Data / Data Engineering Environment?
Options
Discussion
For me, D since the question is all about the Data Engineering environment. Data engineers handle all the heavy lifting with pipelines and processing so the rest of the AI stack can work. B looks tempting but the wording narrows it to engineering, not scientists or management. Agree?
Yeah, it's D. Data engineers are the core staff for this kind of setup.
D is the call here. Data engineering is the backbone for big data environments, not much debate if that's the scope.
Pretty sure it's D since data engineering is what drives the whole environment for AI projects. Data scientists are key too, but if you don't have solid pipelines and infrastructure, their models won't even get decent data. Thoughts?
Option D. but is this question only about engineering or does it include the analytics environment too? If they want the most critical for just building and maintaining data pipelines, D for sure. But if it's broader, maybe B or E?
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