Question
Which of the following are the main advantages of using ML/AI for data analytics in the cloud as opposed to on premises? (Choose two.)
- A. Cloud providers offer enhanced technical support.
- B. Elasticity allows access to a large pool of compute resources. Correct
- C. The shared responsibility model offers greater security.
- D. AI enables DevOps to build applications easier and faster.
- E. A pay-as-you-go approach allows the company to save money. Correct
- F. ML enables DevOps to build applications easier and faster.
Explanation
Machine learning and AI workloads need large amounts of compute for short periods, and cloud elasticity gives access to a large pool of resources that can be scaled up for training and released afterward. Pay-as-you-go pricing means the company pays only for that compute while it is used instead of buying expensive hardware that sits idle. Technical support and the shared responsibility model are not specific advantages for analytics, and the DevOps options describe what AI or ML do, not why running them in the cloud is better than on premises.
