View answer copy →Answered a very similar question
Their question: “Crypto/emerging tech in money laundering & terror financing; govt steps (10m)”
Aniket's Q9 links crypto and emerging tech to money laundering and terror financing with FATF/PMLA measures, the core of 2021 Q19 on emerging technologies and money laundering.
Key learnings from their answer
- ›His value-additions were quantified and case-specific, not vague: the Rs 1,52,790 cr post-harvest loss figure (Q13), the NPK 1:4:6 fertiliser skew toward urea (Q14), and a named micro case study, the Katihar (Bihar) farmer who lost Rs 5 lakh to a digital-arrest scam (Q11). -> Memorise a few exact figures and one concrete named case per theme; a single precise number or real victim beats a paragraph of generic assertion.
- ›Every answer ran a disciplined Intro -> boxed/underlined sub-headings ('Importance of...', 'Challenges...', 'Measures...', 'Way forward') -> conclusion, and closed with a 'Thus...' line that linked back to a vision anchor like Viksit Bharat 2047 / India $5 trillion economy (Q1, Q11, Q15). -> A repeatable skeleton with a vision-linked closing line lets you write all 20 answers at consistent quality and finish a full attempt (he left nothing blank).
What they cited: Institutions/laws: APMC, e-NAM, TRIFED (Q4, Q13); FATF, PMLA, NIA, ED, Interpol, FCRA, I4C/National Cybercrime Portal (Q9); UNFCCC, COP, Global Stocktake, CBDR-RC, Clean Development Mechanism, polluter-pays (Q17); SCO-RATS, BRICS, UNSC (Q19); COBRA, STRACO, Greyhounds, NDMA/NDRF/SDRF, IMD (Q8, Q20)
Quotes used: “'FATF told that country lose substantial amount of GDP due to money laundering' (Q9)”