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Answer: Smart Contracts
Smart contracts are self-executing programs stored on blockchain that automatically enforce terms when conditions are satisfied. Used in DeFi, supply chain, insurance.
Answer: Both A and B
OWASP Application Security Verification Standard (ASVS) and ISO 27034 provide frameworks for secure software development, testing, and vulnerability management.
Answer: Multi-Site Active-Active
Active-active runs full workload in multiple regions simultaneously, enabling instant failover with zero RPO/RTO. Highest cost but maximum resilience. Critical for mission-critical systems.
Answer: Both A and B
High-dimensional handling: dimensionality reduction (PCA, autoencoders) compresses features; sparse representations (L1 regularization) select relevant features. Critical for text, recommendation systems.
Answer: LLM / Generation
Code LLMs (Codex, CodeLlama) trained on code repositories enable natural language to code generation, debugging, and documentation. Critical for developer productivity tools.
Answer: Both A and B
Digital Public Goods Alliance curates open-source solutions; G20 DPI Framework promotes interoperable identity, payments, data sharing. India leads global DPI advocacy.
Answer: Model-Based Imputation
Model-based imputation (MICE, Bayesian) models relationships between variables to predict missing values, accounting for uncertainty. More robust than simple methods for complex missingness patterns.
Answer: Event-Driven Architecture
Event-driven architecture uses message brokers (Kafka, RabbitMQ) for decoupled, asynchronous service communication. Enables scalability, resilience, and real-time processing.
Answer: Reinforcement / RLHF
Reinforcement Learning from Human Feedback (RLHF) trains reward models from human preferences, then optimizes LLM to maximize rewards. Critical for aligning AI with human values.
Answer: All of these
Effective tech policy: proportionate to actual risks, technology-neutral (focus on outcomes), risk-based (higher scrutiny for higher-risk activities). Critical for balanced policy design.
Answer: All of these
Imbalance handling: oversampling (SMOTE) increases minority, undersampling reduces majority, class weighting adjusts loss function. Choice depends on data size and model type.
Answer: Both A and B
Stateless microservices store session data externally (Redis, database), enabling horizontal scaling by adding instances. Critical for elastic, resilient cloud applications.
Answer: Beam / Nucleus
Advanced decoding: beam search explores multiple hypotheses, nucleus (top-p) sampling truncates low-probability tokens. Balance diversity and coherence in text generation.
Answer: Both A and B
India endorses OECD AI Principles (2019) and UNESCO Recommendation on AI Ethics (2021). Both emphasize human rights, transparency, accountability, sustainability. Critical for AI governance.
Answer: All of these
Time series methods: ARIMA for stationary series, Prophet for seasonality/holidays, LSTM for complex patterns. Choice depends on data characteristics and forecast horizon.
Answer: All of these
Safe deployment patterns: blue-green (instant switch), canary (gradual rollout), feature flags (toggle functionality). Combined for zero-downtime, low-risk releases. Critical for DevOps practices.
Answer: Multimodal Learning
Multimodal models (CLIP, LLaVA) process text, images, audio jointly, enabling visual question answering, image captioning, and cross-modal retrieval. Critical for next-gen AI applications.
Answer: All of these
High-cardinality handling: one-hot for low cardinality, target encoding for medium, embeddings for high (deep learning). Choice depends on model type and cardinality. Critical for feature preprocessing.
Answer: Multi-Site Active-Active
Active-active runs full workload in multiple regions simultaneously, enabling instant failover with zero RPO/RTO. Highest cost but maximum resilience. Critical for mission-critical systems.
Answer: AI / Autonomous
AI agents combine LLMs with planning, tool use, memory for autonomous task execution. Applications: research assistants, customer service, workflow automation. Critical for next-gen AI systems.