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What Policy Insight Does Child Labor Detection Provide in Big Data Analytics?
Discover the policy insights derived from child labor detection in Big Data. Learn how Hadoop and MapReduce flag under-18 individuals with income for legal action and policy enforcement in certification exams.
Question
What kind of policy insight does child labor detection provide?
A. Suggests migration patterns of children
B. Identifies literacy rate trends
C. Compares male vs female work hours
D. Flags under-18 individuals with income for legal action
Answer
D. Flags under-18 individuals with income for legal action
Explanation
In the context of demographic Big Data analysis, detecting child labor provides the critical policy insight of flagging individuals under the age of 18 who are recording an income, which often violates national and international labor laws. By using frameworks like MapReduce to filter datasets for records where the age is under 18 but an income or employment status is present, authorities can identify regions, industries, or specific households where illegal child labor is occurring.
This insight allows government agencies and labor departments to take targeted legal action, enforce compliance with employment acts (such as restrictions on working hours and hazardous conditions for minors), and implement social interventions to protect vulnerable children from exploitation. Options A, B, and C are incorrect because they relate to migration, education, and gender work disparities, which are separate demographic insights unrelated to the specific detection of illegal child labor.