HOTSPOT
You have an Azure Data Lake Storage Gen2 container.
Data is ingested into the container, and then transformed by a data integration application. The data is NOT modified after that. Users can read files in the container but cannot modify the files.
You need to design a data archiving solution that meets the following requirements:
✑ New data is accessed frequently and must be available as quickly as possible.
✑ Data that is older than five years is accessed infrequently but must be available
within one second when requested.
✑ Data that is older than seven years is NOT accessed. After seven years, the data must be persisted at the lowest cost possible.
✑ Costs must be minimized while maintaining the required availability.
How should you manage the data? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point
Answer: 
Explanation:
Box 1: Move to cool storage
Box 2: Move to archive storage
Archive – Optimized for storing data that is rarely accessed and stored for at least 180 days
with flexible latency requirements, on the order of hours.
The following table shows a comparison of premium performance block blob storage, and the hot, cool, and archive access tiers.
