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Answer: True
Stablecoin types: fiat-collateralized (USDC), crypto-collateralized (DAI), algorithmic (failed Terra). Regulatory focus: reserve transparency, redemption rights, systemic risk mitigation. Critical for crypto ecosystem understanding.
Answer: True
Edge computing reduces data transmission to cloud, lowering network energy use. Local processing enables real-time decisions with lower latency. Trade-off: managing distributed infrastructure complexity.
Answer: True
Article 6.4 creates UN-supervised mechanism for trading emission reductions between countries, replacing CDM. Aims to ensure environmental integrity, avoid double counting, and support sustainable development.
Answer: True
One carbon credit = 1 tonne CO2e reduced/removed. Traded in compliance markets (regulated caps) and voluntary markets (corporate ESG). Quality depends on additionality, permanence, and verification standards.
Answer: True
Cubesat standard (1U = 10x10x10 cm, up to 12U) enables low-cost access to space for research, technology demos, and education. India promotes Cubesats via ISRO and academic programs for capacity building.
Answer: True
NASA's Artemis program: Artemis I (uncrewed test), Artemis II (crewed flyby), Artemis III (lunar landing). Includes Gateway lunar station and international partnerships. India signed Artemis Accords for cooperative exploration.
Answer: True
GEO satellites match Earth's rotation, appearing stationary from ground. Advantages: continuous coverage, simple ground equipment. Disadvantages: high latency (~250ms), polar coverage gaps. Critical for satellite communication planning.
Answer: True
Methane (CH4) has 28-36x global warming potential of CO2 over 100 years. Capture technologies: anaerobic digesters, landfill gas collection, rice cultivation alternatives. Critical for near-term climate mitigation.
Answer: True
SPHINCS+ (NIST PQC standard) uses hash functions believed quantum-resistant. Trade-off: larger signatures (~8-49 KB) vs classical ECDSA (~64 bytes). Critical for bandwidth-constrained applications.
Answer: True
Data minimization (DPDP Act, GDPR) limits collection to what's necessary for specified purpose. Reduces privacy risks, storage costs, and breach impact. Critical for responsible AI data practices.
Answer: False
India's crypto regulation is evolving: taxation (115BBH), AML (FIU registration), but comprehensive legislation pending. RBI, SEBI, MeitY coordinate on policy. Critical for understanding regulatory uncertainty.
Answer: True
e₹-R pilot supports P2P and P2M transactions via QR codes, mobile apps, and offline mode. Integrates with existing payment infrastructure for seamless user experience. Critical for digital payment evolution.
Answer: True
Net-zero requires balancing residual emissions with carbon removal: DAC (direct air capture), BECCS (bioenergy with CCS), enhanced weathering. Critical for hard-to-abate sectors and historical emissions.
Answer: True
Lattice-based schemes (CRYSTALS-Kyber, Dilithium) rely on hardness of lattice problems believed resistant to quantum algorithms. Selected by NIST for PQC standardization. Critical for future-proofing cryptographic systems.
Answer: True
XAI methods (LIME, SHAP, attention visualization) provide interpretable explanations for AI decisions. Critical for trust, debugging, regulatory compliance, and user acceptance in high-stakes applications.
Answer: False
Section 115BBH taxes crypto income at 30% with no provision for loss offsetting against other income or capital gains. 1% TDS applies on transactions. Critical for crypto tax compliance planning.
Answer: True
Article 6 establishes frameworks for internationally transferred mitigation outcomes (ITMOs) and sustainable development mechanism. Enables countries to collaborate on cost-effective emission reductions.
Answer: True
Microgravity enables production of perfect crystals, fiber optics, pharmaceuticals without sedimentation/convection defects. Companies like Varda Space Industries developing in-orbit factories. Critical for space economy questions.
Answer: True
#AIforAll and DPDP Act require human review for significant automated decisions affecting rights, benefits, or obligations. Balances efficiency with accountability and redressal. Critical for AI policy questions.
Answer: True
Model Cards (Google proposal) document: intended use, training data, evaluation metrics, ethical considerations. Enable informed deployment and accountability. Adopted by many AI developers globally.