Exam CLO-002 topic 1 question 7 discussion

Elasticity provides access to an extensive range of computing resources. A pay-as-you-go model enables the organization to reduce costs.

The main advantages of using ML/AI for data analytics in the cloud as opposed to on-premises are: B. Elasticity allows access to a large pool of compute resources. • Cloud platforms provide elasticity, allowing users to scale up or down the computing resources as needed, which is especially beneficial for resource-intensive ML/AI tasks. E. A pay-as-you-go approach allows the company to save money. • The pay-as-you-go model in the cloud allows companies to pay only for the resources they use, which can result in cost savings compared to maintaining and scaling on-premises infrastructure. These advantages highlight the flexibility and cost efficiency that cloud environments offer for ML/AI workloads.