Title: Quiz 14 — Deployment Models and Cost Awareness
Course: AIINFRA 100: AI Systems & Development Environments > Section: Week 14 — Cloud, On-Prem & Hybrid: Deployment Models and Cost Awareness

Q: "On-premises AI infrastructure" primarily means:
- Renting GPU time from a cloud provider by the hour
- Owning and operating the physical compute yourself, rather than renting it from a cloud provider
- Using only open-source AI models
- Running AI workloads exclusively on a laptop
A: Owning and operating the physical compute yourself, rather than renting it from a cloud provider

Q: With Infrastructure-as-a-Service (IaaS), the cloud provider manages the operating system and installed software for you.
- True
- False
A: False

Q: What is the "hybrid model" that most real organizations land on?
Feedback: Sample/expected answer: Running core, steady-state workloads on owned/on-premises hardware, while handling burst capacity, experimentation, or unpredictable demand in the cloud.

Q: On-premises infrastructure tends to make the most economic sense when:
- The workload is rare, unpredictable, and low-utilization
- The workload is sustained and high-utilization, often breaking even against cloud rental in as little as 4–12 months
- Data can be stored anywhere with no restrictions
- Costs need to vary month to month based on usage
A: The workload is sustained and high-utilization, often breaking even against cloud rental in as little as 4–12 months

Q: Cloud AI services are always cheaper than owning hardware, regardless of the workload.
- True
- False
A: False

Q: According to the FinOps Foundation's maturity journey, the correct order of phases is:
Feedback: Sample/expected answer: Inform → Operate

Q: An idle GPU that isn't processing any work does not incur any cost.
- True
- False
A: False

Q: Spot instances are best suited for which type of workload?
- Stateful production inference serving live user traffic
- Fault-tolerant, checkpointed batch training jobs
- Any workload, since Spot has no real downside
- Database transactions that cannot tolerate interruption
A: Fault-tolerant, checkpointed batch training jobs