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In a scenario where you are tasked with implementing data masking for a dataset that contains sensitive customer information, such as credit card numbers, within a Microsoft Azure environment. The solution must comply with GDPR regulations, ensure that the data remains usable for analytics by authorized users, and minimize operational costs. Considering these constraints, which of the following approaches would be the most effective to protect the sensitive data while still allowing for analytics? Choose one option.
In a scenario where you are tasked with implementing data masking for a dataset that contains sensitive customer information, such as credit card numbers, within a Microsoft Azure environment. The solution must comply with GDPR regulations, ensure that the data remains usable for analytics by authorized users, and minimize operational costs. Considering these constraints, which of the following approaches would be the most effective to protect the sensitive data while still allowing for analytics? Choose one option.
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