NCEL, NCOL and BBSSL, discussed at the workshop, are national cooperative bodies respectively for:

The correct answer is Bastar in Chhattisgarh, where the two-day workshop was held on 8 and 9 October 2026 and ended with a call for state-specific and time-bound action plans. Option B is wrong, though Odisha does figure in the discussions, because the deliberations covered cooperative development in the Left Wing Extremism affected districts of Chhattisgarh and Odisha. Options C and D are wrong as no part of the event was held there. The choice of venue is itself worth noting for the examination: holding a national review of the cooperative sector in a district long affected by extremism fits the stress laid at the workshop on cooperative growth in the North Eastern states and the eastern frontier regions.

The correct answer is December 2026. The Secretary of the Ministry of Cooperation set that deadline for finishing the first phase of computerising Primary Agricultural Credit Societies, and asked in the same breath that audits for the years 2024-25 and 2025-26 be completed by October 2026. Options A, C and D are wrong because none of them was the deadline announced. Candidates should link the deadline with the wider push described at the meeting: states were asked to set up new PACS faster and widen their membership so that District Central Cooperative Banks rest on a stronger base, while cooperative banks were told to invest in cybersecurity, modern core banking systems and digital services to hold their customers.

The same session also took up decentralised grain storage, fertiliser business plans for cooperative societies and farmer friendly financing options such as pledge finance, all of which rest on the record keeping that computerisation is meant to deliver.

The correct answer is Dr Ashish Kumar Bhutani, Secretary in the Ministry of Cooperation, who closed the workshop by calling the discussions productive and asking states to move from discussion to implementation. Option A is a tempting distractor, because the ministry functions under Union Home and Cooperation Minister Amit Shah and the workshop was held under his leadership, but the concluding remarks came from the Secretary. Option C is wrong, although a presentation by NABARD on a uniform Core Banking Solution platform was appreciated at the session. Option D is wrong as well. The Secretary stressed that one model of cooperative development cannot suit every state, and that successful district level innovations should be documented, repeated and scaled up.

The correct answer is over 7.14 crore. The minister said the platform, which pairs artificial intelligence with data analytics, has facilitated the disconnection of more than 7.14 crore fraudulent mobile connections. Option A is a deliberate trap: 35 lakh is the number of lost handsets traced through the same platform, not the number of connections cut. Option B borrows the figure of 2.2 billion people worldwide who remain offline and recasts it as crore, so it is wrong. Option D does not match the number given. The platform has also prevented potential financial fraud worth over ₹5,000 crore. Alongside this, the Telecommunication Engineering Centre has developed national standards on AI fairness, robustness and incident reporting, and a National Working Group on AI Standardization aligns them with ITU-T benchmarks.

The correct answer is more than 38,000. The minister said more than 38,000 high-end GPUs have been onboarded under the IndiaAI Mission at roughly a third of the global average cost. Option B is the trap: 20,000 is the number of additional GPUs being added, not the number already onboarded. Options A and D do not match the figures given. The mission has an outlay of over ₹10,000 crore, and alongside compute it covers open data and talent through the AI Kosh platform, which unlocks datasets and sovereign models in agriculture, healthcare and education. India was also said to rank first globally in relative AI skill penetration, with Indian developers contributing about 5.2 per cent of open-source AI projects on GitHub that carry ten or more stars.