A smart agriculture startup processes high-resolution satellite imagery to predict crop yields. The company runs massive image-processing workloads for just one week at the end of each harvest season, requiring thousands of virtual compute instances. Throughout the rest of the year, they only run a small, low-traffic web dashboard. Additionally, because they do not have to buy, install, or maintain physical servers in a local facility, their engineering team focuses solely on developing machine learning models. Which two advantages of the AWS Cloud are directly demonstrated in this scenario? (Select TWO.)
- Stop guessing capacityCevap
- Stop spending money running and maintaining data centersCevap
- CTrading variable expenses for capital expenses
- DAutomating resources to scale out permanently to support long-term, year-over-year user growth
- EIncreasing monolithic application dependencies to ensure tighter coupling of services
Cevap
The advantages are stopping guessing capacity and stopping spending money running and maintaining data centers.
The correct answers are the benefits of stopping guessing capacity and stopping spending money running and maintaining data centers. The company avoids guessing capacity by dynamically scaling virtual instances to handle peak workload during the harvest season and scaling down afterward. They also avoid data center maintenance costs by not owning or maintaining physical servers, which lets them focus on development.
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Define the benefits of the AWS Cloud