Read the passage and mark the letter A, B, C or D on your answer sheet to indicate the best answer to each of the following questions from 23 to 30.
Data localization, sometimes conflated with data residency, mandates that personal records tied to a country be first collected, processed, and stored within its borders before any outbound transfer occurs. Such transfers, if permitted, typically follow compliance steps – notice, explicit consent, and disclosure of use. The principle is grounded in data sovereignty: data is governed by the laws of the jurisdiction where it is gathered. While sovereignty speaks to legal authority over data, localization operationalizes that authority by front-loading domestic handling prior to any cross-border movement.
Governments and enterprises advance localization for several intertwined reasons. It is framed as a bulwark for security, keeping sensitive assets on home soil. It anchors privacy under specific regimes (for instance, GDPR), reassures national sovereignty over citizens’ information, and can catalyze domestic jobs by compelling in-country infrastructure. Proponents also cite performance: services may respond faster when data sits nearer to users, reducing latency. Critics, however, warn that these justifications vary in weight depending on sector, threat surface, and institutional capacity.
Localization unfolds through on-premises facilities, sovereign-region clouds, and carefully choreographed transfers and processing. Firms may replicate datasets, yet regulators can stipulate sequencing constraints on erasure. Under certain regimes, foreign copies relating to local residents must be deleted only after deletion has occurred on systems inside the data subject’s country. In practice, they may sit in local and foreign environments concurrently until compliance steps are satisfied. These regimes translate policy into architecture, procurement, and audit trails that prove the chain of custody.
The calculus is double-edged. Security, privacy alignment, local job creation, and reduced latency represent tangible dividends; yet costs balloon with duplicate data centers, legal complexity, and operational overhead. Access can narrow across borders, interoperability may fray, and trade can be hampered when vendors cannot freely move information. Policymakers thus juggle economic development with openness, attempting to codify controls without stifling transnational services. Outcomes hinge on implementation nuance: exemptions, adequacy findings, and verifiable controls can temper the sharpest frictions.
(Adapted from Imperva, “Data Localization”)
Question 23. Which of the following is NOT mentioned in paragraph 2 as a reason for data localization?
A. Enhancing security for sensitive information
B. Asserting national sovereignty over citizens’ data
C. Generating domestic jobs via in-country infrastructure
D. Reducing environmental footprints through greener data centers