Before conducting a cloud migration, a compliance team requires confirmation that sensitive data will remain close to their users. Which of the following will meet this requirement during the cloud design phase?
Data locality is the principle of storing data close to where it is used, such as in the same region, country, or jurisdiction. Data locality can improve the performance, security, and compliance of cloud applications, especially when dealing with sensitive data that is subject to legal or regulatory requirements. Data locality can also reduce the network latency and bandwidth costs associated with transferring data across long distances. Data locality can be achieved by choosing a cloud provider that has data centers in the desired locations, and by specifying the data placement and migration policies in the cloud design phase. Data locality is different from data classification, data certification, and data validation. Data classification is the process of categorizing data based on its sensitivity, value, and risk. Data certification is the process of verifying that data meets certain standards or criteria. Data validation is the process of checking that data is accurate, complete, and consistent.Reference:Data Locality - an overview | ScienceDirect Topics,Data Locality: What It Is and Why It Matters - Qumulo,Cloud Computing Design Principles - CompTIA Cloud Essentials+ (CLO-002) Cert Guide
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