Q: 5
A company's engineering department is conducting a month-long test on the scalability of an in-
house-developed software that requires a cluster of 100 or more servers. Which of
the following models is the best to use?
Options
Discussion
D . Only IaaS gives enough control to launch 100+ servers and set them up exactly how engineering wants. PaaS or SaaS just wouldn't let you tweak the base systems for this kind of scale test. Seen similar practice stuff point to D too.
Option D. Not totally sure but IaaS should fit since you need a bunch of servers for custom testing, right?
B , saw a similar question in an official practice test and it tripped me up.
Not A, D is it here. Only IaaS handles full server clusters for custom setups like this test.
So if they're spinning up 100+ servers just to test scaling on their own app, IaaS (D) is the only one that gives full control over the VMs and network. PaaS wouldn't let them customize that much. Pretty sure it's D but feel free to argue otherwise.
D imo, but if they provided a managed clustering service the answer could flip to A depending on config details.
C/D? Not 100 percent but those both seem plausible for clusters.
C/D? Honestly, PaaS (A) can look tempting because it handles scaling for devs, but I think for 100+ custom server clusters where you control OS and networking, D (IaaS) is still safer. Could see A tripping folks though.
C or A for me. If the official guide covers anything about testing app scalability in cloud setups, PaaS sometimes shows up as best for deploying custom clusters quickly too. I know D is more flexible but not completely ruling out A.
Probably D, since IaaS lets you spin up a big custom server cluster and do full OS and network tweaks, which is what you'd want for a scalability test. Official study guides stress IaaS for this kind of use case. Pretty sure that's right, but someone might see PaaS as tempting.
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