Daily Current Affairs Quiz Prelims Practice 2027
- It inserted Part IX and the Eleventh Schedule, containing 29 subjects, into the Constitution.
- Article 243D mandates reservation of not less than one-third of seats for women at all three tiers of Panchayats.
- The State Election Commission, provided for under Article 243K, is responsible for conducting elections to both Panchayats and the State Legislature.
- Panchayat is a subject under the Concurrent List of the Seventh Schedule.
Statements 1 and 2 are correct — the 73rd Amendment inserted Part IX (Articles 243–243O) and the Eleventh Schedule with 29 subjects, and Article 243D mandates SC/ST reservation proportional to population plus not less than one-third of seats (including chairperson posts) for women at all tiers. Statement 3 is incorrect: the State Election Commission under Article 243K conducts elections only to Panchayats and Municipalities — State Legislature elections fall under the Election Commission of India. Statement 4 is also incorrect: Panchayat is a State List subject, not the Concurrent List, which is why each State enacts its own Panchayati Raj Act within the constitutional framework.
- A. Rakhigarhi 1. First Harappan site discovered (1921)
- B. Ganeriwala 2. Burial plot with 56 skeletons recovered
- C. Mound 7 (Rakhigarhi) 3. Largest known Harappan site by area
- D. Harappa 4. Second-largest known Harappan site by area
Rakhigarhi (Haryana, ~550 ha) is the largest known Harappan site; Ganeriwala (Punjab, Pakistan) is the second-largest — a fact pair that trips students who memorise only "Rakhigarhi = largest" without noting the runner-up. Mound 7 at Rakhigarhi is the burial plot where 56 skeletons, including the "Rakhigarhi woman," were recovered. Harappa (Punjab, Pakistan) was the first site discovered, in 1921. Option (c) is the direct inversion trap, swapping Rakhigarhi's and Ganeriwala's area rankings.
- It is a legally binding treaty enforceable through the International Tribunal for the Law of the Sea.
- India is among its 16 signatory countries, reflecting its Blue Economy ambitions.
- It builds support for the Global Charter for Fisheries Transparency, which comprises ten low-cost or no-cost policy principles.
- It was adopted at the 11th Our Ocean Conference held in Mombasa, Kenya.
Statements 3 and 4 are correct — the Declaration builds momentum for the Global Charter for Fisheries Transparency (10 low-cost or no-cost policy principles) and was adopted at the 11th Our Ocean Conference in Mombasa, Kenya, in June 2026. Statement 1 is incorrect: the Declaration is a voluntary call to action with no binding force and no ITLOS enforcement mechanism — inventing enforceability is a classic instrument-upgrade trap. Statement 2 is also incorrect: India is not a signatory, a notable gap given its coastline and Blue Economy ambitions; the 16 signatories include Chile, Ghana, South Korea and Panama, not India.
- It originated in 2003 as a bilateral exercise between India and Mongolia.
- The 2026 edition is its 23rd iteration, involving troops from 18 countries.
- It trains participating forces for UN peace support operations under Chapter VI of the UN Charter, which deals with the pacific settlement of disputes.
- The 2026 Indian contingent includes troops from a battalion of the JAT Regiment.
Statements 2 and 4 are correct — the 2026 edition is the 23rd iteration held at the Five Hills Training Area, Ulaanbaatar, with 18 participating countries, and India's 40-personnel contingent includes troops from a JAT Regiment battalion. Statement 1 is incorrect: Khaan Quest began in 2003 as a bilateral exercise between the USA and Mongolia, not India and Mongolia; India is one of 18 participating nations but not a co-founder. Statement 3 is incorrect: the exercise trains forces under Chapter VII of the UN Charter (action on threats to peace and enforcement measures), not Chapter VI (pacific settlement of disputes) — the trap applies a real but misattributed UN Charter fact.
Reason (R): Over 90% of Sarvam's current usage comes from individual consumer users rather than government or enterprise clients.
Assertion A is true — Sarvam AI explicitly frames its strategy around "sovereign AI," building full-stack infrastructure (compute, data centres, APIs, LLMs) for Indian governments, defence and enterprises, with a business model the company itself compares to Anthropic's rather than a consumer-facing model like OpenAI's. Reason R is false — it inverts the actual figure: over 90% of usage comes from revenue-generating government and enterprise clients, not individual consumers. Sarvam operates a B2G/B2B, not B2C, model. The trap flips "enterprise-dominant usage" into "consumer-dominant usage" while keeping the headline sovereign-AI conclusion intact.
