You are designing an AI solution that will analyze millions of pictures. You need to recommend a solution for storing the pictures. The solution must minimize costs. Which storage solution should you recommend?
Suggested Answer:C🗳️
Data Lake will be a bit more expensive although they are in close range of each other. Blob storage has more options for pricing depending upon things like how frequently you need to access your data (cold vs hot storage). Reference: http://blog.pragmaticworks.com/azure-data-lake-vs-azure-blob-storage-in-data-warehousing
Azure Blob Storage "helps you create data lakes for your analytics needs". So data lake is build on Blob strage. Blob storage seems more appropriate as images/files are usually stored here and its meant to be cost effective too.
Data Lake store will be costly. But it will be good if you need scalable feature. Most importantly Data Lake might not be available in all the regions.
Data Lake is basically blob storage with extra features. Since you won't be doing any analytics on these photos directly in the storage but rather using ML to analyze something, blob storage is cheaper. The keywords are "minimize costs". If you were in the future planning on doing analytics in the storage location, then Data Lake is the way to go.
Yes it does say that... But there's a full stop and then it says you need to recommend a solution for "storing" the pictures.
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