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Free sample question, answered and explained below. The AZ-900 Microsoft Azure Fundamentals Exam practice bank has 688 more like it. Try 10 free: instant score, no account.
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?
NTFS compression is a built-in file system feature in Windows Server designed to compress individual files and directories on disk volumes to save physical storage capacity.
compact automatically skip tiered files on newer Windows Server operating systems to avoid corruption.NTFS compression would be suitable on standard non-tiered local storage volumes hosting read-heavy, compressible files where Azure File Sync cloud tiering is not enabled.
Tiered files already consume negligible local capacity (typically just a 4 KiB cluster per file for sync metadata and reparse points), so applying NTFS compression provides virtually no local space benefit while introducing severe performance issues.
Disabling local caching involves removing the local server endpoint cache and forcing all client systems to connect and access their files directly across the network or WAN in Azure Files.
This configuration would be appropriate if an organization is completely decommissioning all on-premises servers, migrating to a 100% cloud-native architecture, and connecting users via cloud-native SMB over QUIC or VPN.
One of the core architectural purposes of Azure File Sync is to transform local servers into fast, distributed caches of centralized cloud shares, preserving local LAN-speed access for active workloads.
A volume free space policy dictates what percentage of the local volume must be kept empty. Setting this value permanently to 99% instructs the sync agent to keep virtually no data cached locally, forcing almost all files to tier to the cloud as soon as possible.
This approach is appropriate only during an initial migration phase where an administrator provisions an undersized temporary staging server to ingest and move bulk data into Azure before resetting the policy to standard production levels.
Effective cloud tiering requires sufficient local cache space to accommodate the daily working set (churn) of the dataset without constantly triggering emergency recalls over the WAN.
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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