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Their question: “Food processing formalization via PLI scheme and PM-FME (15m, 250w)”
The answer details the government's schemes (PLI, PM-FME) and how they address the food processing sector's challenges, directly serving a PYQ that asks for the policy taken to meet those challenges.
Key learnings from their answer
- ›He packs concrete, recent, named current-affairs hooks rather than generic mentions -> 'NCB drug seizure at Mundra', 'AIIMS cyber attack', 'Tesla FDI', 'IN-SPACe/NSIL', 'Swayam Prabha', 'pigeon pea imported from Nigeria', 'Golden Triangle'. Lesson: stock each GS theme with a handful of specific, dateable instances and exact scheme names so every point lands as evidence, not assertion.
- ›He hard-codes specific numbers into economy answers instead of vague qualifiers -> e.g. Q12 boxes 'fiscal deficit ~6.5% of GDP and debt-to-GDP ~60%', Q14 cites 'small/marginal farmers ~89%' and the Economic Survey's '1 SD rise in certainty raises investment ~11%', and Q5 uses '~$50bn agri exports'. Lesson: memorise 2-3 exact figures (with the source, here repeatedly the Economic Survey/RBI) per static-economy topic and present them visibly, even boxed, so the data is impossible to miss.
What they cited: Q13: food processing ~2 lakh cr of GDP (sunrise sector); PLI scheme; PM-FME; ICOR