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Prepare and test your skills

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An organization is using Azure File Sync to extend its on-premises file share into Azure. The IT team wants to optimize both performance and costs by ensuring that frequently accessed data delivers the lowest latency to users while minimizing data recall and egress transaction costs from Azure.
Which cloud tiering approach best meets these requirements?
Cloud tiering is an optional feature of Azure File Sync that separates active data from inactive data. Frequently accessed files (known as hot data) are cached directly on the local Windows Server endpoint, while infrequently accessed files (known as cold data) are converted into lightweight pointer files (reparse points) and stored in Azure Files.
This strategy provides the ideal balance between on-premises performance metrics and cloud cost implications. Serving active workloads from local disk eliminates latency, while storing bulk cold data in Azure lowers overall physical storage expenditures and operational overhead.
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