IT runs analytics virtual machines on a virtualized farm and must place Big Data services correctly. What architecture guidance fits?
Select an answer to reveal the explanation.
Short Explanation
Virtual farms can host Big Data just fine — if you still label who stores, who cooks, and who serves. Laptops-for-everything or one mystery guest process is how dinner burns.
Full Explanation
Virtualized and private-cloud patterns host Big Data stacks when capacity, isolation, and placement are planned. Storage, processing, and serving roles still map onto VMs or clusters rather than disappearing. Claiming VMs cannot host analytics, forcing laptop-only placement, or collapsing roles into one anonymous process weakens operability. Architecture awareness bridges Cap. 3 layering with later cloud deployment themes without turning the item into a cloud-associate exam.