Suggested Answer:A🗳️
Azure Blobs: A massively scalable object store for text and binary data. Azure Cognitive Search supports fuzzy search. You can use Azure Cognitive Search to index blobs. Scenario: ✑ The visual monitoring system is a network of approximately 1,000 cameras placed near highways that capture images of vehicle traffic every 2 seconds. The cameras record high resolution images. Each image is approximately 3 MB in size. ✑ The solution must allow for searches of vehicle images by license plate to support law enforcement investigations. Searches must be able to be performed using a query language and must support fuzzy searches to compensate for license plate detection errors. Incorrect Answers: B: Azure Tables: A NoSQL store for schemaless storage of structured data. Reference: https://docs.microsoft.com/en-us/azure/storage/common/storage-introduction https://docs.microsoft.com/en-us/azure/search/search-howto-indexing-azure-blob-storage#how-azure-cognitive-search-indexes-blobs
Link provided in solution confirms blob storage as the answer - https://docs.microsoft.com/en-us/azure/search/search-howto-indexing-azure-blob-storage#how-azure-cognitive-search-indexes-blobs
The correct answer : (D) Azure Cosmos DB
Cosmos DB is ideally suited for IoT solutions. Cosmos DB can ingest device telemetry data at high rates and can serve indexed queries back with low latency and high availability.
https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/iot-using-cosmos-db#:~:text=Cosmos%20DB%20is%20ideally%20suited,low%20latency%20and%20high%20availability.
You're right about what CosmosDB is used for but the visual monitoring system is capturing and storing images. Since ADLS isn't here for higher performance, Blob storage would be the answer
i think adl2 will be better!
every 2 second 3GB data...
upvoted 1 times
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