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Answer: Both A and B
Programmable CBDC with smart contracts can automate tax collection at point of transaction, reducing compliance burden and evasion. Requires careful design to balance efficiency with privacy and user control.
Answer: Additionality
Additionality requires proving project emissions reductions are beyond business-as-usual scenario. Critical for carbon market integrity: prevents crediting actions that would happen anyway. Verified through baseline methodologies.
Answer: Ion Propulsion
Ion thrusters use electric fields to accelerate ions, providing high specific impulse (fuel efficiency) with low thrust. Ideal for deep space missions: Dawn, BepiColombo. ISRO developing electric propulsion for future missions.
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: All of these
Privacy techniques: Ring signatures obscure sender; Bulletproofs provide efficient range proofs; Confidential Transactions hide amounts using Pedersen commitments. Balance privacy with regulatory compliance.
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: All of these
Programmable CBDC enables conditional payments: subsidies usable only for specific goods/services, time-bound benefits, location-restricted spending. Balances policy objectives with user autonomy and privacy.
Answer: Knowledge
Zero-Knowledge Proofs enable proving knowledge of a secret without revealing it. Applications: privacy-preserving authentication, confidential transactions, secure voting. Critical for next-gen privacy technologies.
Answer: Both A and B
NIST AI Risk Management Framework and ISO/IEC 23894 provide structured approaches to identify, assess, and mitigate AI risks: bias, security, safety, privacy. Critical for enterprise AI governance.
Answer: All of these
Modern crypto regulation focuses on economic substance: payment tokens, security tokens, utility tokens regulated based on function. Avoids technology lock-in and adapts to innovation. Critical for policy design questions.
Answer: Smart Contract-enabled
Smart contract-enabled CBDC allows conditional payments: escrow, subsidies with usage restrictions, automated tax collection. Requires careful design to balance flexibility with privacy and monetary policy control.
Answer: Both A and B
Gold Standard and Verra's Verified Carbon Standard (VCS) certify offset projects: renewable energy, forestry, methane capture. Ensure real, measurable, additional emission reductions. Critical for carbon market integrity.
Answer: All of these
Outer Space Treaty (1967) establishes foundational principles; Moon Agreement (1979) addresses resource use (limited ratification); Artemis Accords (2020) promote peaceful lunar exploration. India signed Artemis Accords.
Answer: False
Quantum supremacy (Google 2019) demonstrated solving a specific contrived problem faster than classical supercomputers. It does NOT mean universal superiority. Most practical problems still favor classical computers.
Answer: Coherence
Coherence time (T1 for energy relaxation, T2 for phase decoherence) determines how many quantum operations can be performed before errors dominate. Longer coherence enables more complex algorithms.
Answer: All of these
NIST PQC standardization includes: CRYSTALS-Kyber (lattice-based KEM), CRYSTALS-Dilithium (lattice signatures), SPHINCS+ (hash-based). India's CERT-In and DRDO actively research PQC adoption.
Answer: Shor's
Shor's Algorithm factors integers in polynomial time on quantum computers, breaking RSA which relies on factoring difficulty. Requires fault-tolerant quantum computers not yet available. Critical for post-quantum cryptography planning.
Answer: AI Act
EU AI Act (2024) mandates Fundamental Rights Impact Assessments for high-risk AI: hiring, credit scoring, law enforcement. India monitors global developments for domestic policy alignment.
Answer: All of these
Explainable AI (XAI) techniques: Feature Importance ranks input influence; LIME/SHAP provide local explanations; Model Cards document model purpose, performance, limitations. Critical for trust and regulatory compliance.
Answer: All of these
Differential Privacy adds noise to aggregates; Federated Learning trains models on-device; SMPC computes jointly without sharing inputs. All enable privacy-preserving analytics. Critical for confidential data science questions.