Technology – Hard Level – GK Questions

Smart materials (piezoelectrics, shape-memory alloys, electrochromics) respond to stimuli: mechanical stress, temperature, electric/magnetic fields. Applications: sensors, actuators, adaptive structures. India researches at DRDO, IITs. Critical for advanced materials and IoT questions.

Lifetime Energy Throughput = Nominal Capacity × Cycle Life × Depth of Discharge. Critical for comparing storage economics: high-throughput batteries (LFP, flow) suit frequent cycling; high-energy-density (NMC) suit weight-sensitive applications. Essential for energy storage planning questions.

GAA (Gate-All-Around) transistors (MBCFET, Nanosheet) surround channel with gate on all sides, improving electrostatic control vs FinFET at sub-3nm nodes. Enables continued scaling per Moore's Law. Critical for understanding semiconductor innovation roadmap questions.

As of 2026, 3nm process node is in high-volume production (TSMC, Samsung) for flagship mobile and HPC chips. 2nm is in risk production with GAA transistors. India's semiconductor mission targets mature nodes (28nm-65nm) initially for strategic autonomy. Critical for understanding tech competitiveness questions.

Data Classification categorizes data (Public, Internal, Confidential, Restricted) to apply appropriate security controls: encryption, access restrictions, retention policies. Foundation of data protection programs. Critical for compliance (DPDP, GDPR) and information security questions.

Canary Release deploys new version to small user subset (canary group), monitors metrics, and gradually expands if stable. Reduces risk vs big-bang releases. Implemented via service mesh, load balancers, or feature flags. Critical for safe deployment strategies.

Meltdown/Spectre (2018) exploit CPU speculative execution and cache side-channels to read kernel memory or other processes' data. Mitigated via microcode updates, OS patches, and compiler fixes. Highlights hardware-level security challenges. Critical for system security questions.

CERT-In Direction 20 (April 2022) requires service providers to synchronize ICT system clocks with NIC's National Time Server for accurate incident timeline correlation. Also mandates 6-hour incident reporting and 180-day log retention. Critical for cybersecurity compliance questions.

Deception technology deploys realistic fake assets (servers, credentials, data) to lure attackers, enabling early detection, threat intelligence, and reduced dwell time. Complements prevention/detection controls. Used in enterprise security and critical infrastructure protection. Important for advanced cybersecurity questions.

Parquet is a columnar storage format optimized for analytics: efficient compression, predicate pushdown, and schema evolution. Reduces I/O by reading only required columns. Used in Spark, Hive, Presto. CSV/JSON are row-oriented; XML is verbose. Critical for big data engineering questions.

Post-Quantum Cryptography (PQC) develops algorithms secure against quantum attacks (Shor's algorithm). NIST is standardizing PQC algorithms (CRYSTALS-Kyber, Dilithium). Critical for future-proofing sensitive systems. India's CERT-In and DRDO actively research PQC. Important for strategic cybersecurity questions.

Digital India Act (proposed) aims to replace IT Act 2000 with updated framework addressing: platform accountability, emerging tech governance, user rights, and cybercrime. Complements DPDP Act 2023. Critical for understanding India's evolving digital regulatory landscape in policy-focused exams.

Zero Trust Architecture assumes no implicit trust based on network location. Every access request is authenticated, authorized, and encrypted regardless of origin. Implements micro-segmentation, least-privilege access, and continuous monitoring. Critical for modern enterprise security and frequently tested in banking/UPSC exams.

Quantum accelerometers and gyroscopes use atom interferometry for drift-free navigation, critical for submarines, aircraft, and autonomous vehicles in GPS-denied environments. AI enhances sensor fusion and error correction. Research by DRDO, ISRO, and global labs. Critical for strategic technology questions.

Neuromorphic chips (Intel Loihi, IBM TrueNorth) use spiking neural networks and event-driven processing to achieve orders-of-magnitude better energy efficiency than conventional GPUs for AI tasks. Promising for edge AI, robotics, and sustainable computing. Research ongoing at IITs and global labs.

Privacy-enhancing technologies: SMPC enables collaborative computation on encrypted data, homomorphic encryption allows processing ciphertext, and ZK-proofs verify statements without revealing data. Critical for confidential AI, federated learning, and privacy-preserving analytics in finance and healthcare.

Quantum annealing (D-Wave) uses quantum tunneling to find global minima in optimization landscapes, suited for logistics, finance, and machine learning. Differs from gate-based quantum computing. Hybrid quantum-classical approaches show near-term promise. Critical for understanding quantum applications beyond cryptography.

Convergence of AI, bioinformatics, and synthetic biology accelerates drug discovery: AI predicts protein structures (AlphaFold), bioinformatics analyzes genomic data, synthetic biology designs novel biological systems. Indian startups and research institutes actively contribute. Critical for biotech innovation and healthcare questions.

6G (expected ~2030) targets: terahertz spectrum (0.1-10 THz) for ultra-high bandwidth, AI-native networks, integrated sensing-communication, and holographic/immersive experiences. India's 6G vision document (2023) outlines research priorities. Critical for understanding next-generation telecom evolution questions.

QKD (Quantum Key Distribution) uses quantum physics principles to generate and share encryption keys with provable security. Deployed in limited metro networks (e.g., DRDO's QKD link). Challenges: distance limits, cost, and integration with existing infrastructure. Critical for future-proof cybersecurity questions.