Fill in the Blank – GK Questions

Carbon footprint measures total GHG emissions from IT operations. Critical for sustainability reporting.

Ground station diversity ensures continuous coverage by handing off between stations as satellites move.

Wetware computing uses biological neurons for computation. Early research stage with potential for ultra-low power AI.

Anonymization irreversibly removes/alters PII to prevent re-identification.

Homomorphic Encryption enables computation on ciphertext, producing encrypted results that decrypt to correct output.

Event-driven architecture uses message brokers for asynchronous, decoupled service communication.

Gaganyaan is ISRO's human spaceflight program to send astronauts to ~400 km orbit for 3-7 days.

KAPILA builds IP culture in HEIs through awareness, training, support for patent filing. Critical for academic innovation.

Section 194S imposes 1% TDS on transfer of virtual digital assets above threshold. Aims to track transactions and ensure tax compliance.

Server consolidation improves utilization from 10-15% to 60-80%, reducing hardware, power, cooling needs.

DNA computing uses biochemical reactions for massive parallelism. Research stage with potential for solving complex combinatorial problems.

Searchable Encryption enables keyword search on ciphertext; Homomorphic Encryption enables computation on encrypted data. Both preserve privacy.

Zero-Knowledge Proofs enable proving model properties without revealing weights. Critical for privacy-preserving model verification.

PM-WANI enables public Wi-Fi hotspots via PDOs using satellite/fiber backhaul. Aims to provide affordable internet access in rural/remote areas.

NIDHI-PRAYAS (DST) provides prototyping grants for deep tech startups in strategic sectors. Part of national innovation ecosystem.

Financial Intelligence Unit-India receives, analyzes, disseminates financial intelligence including crypto transactions. VASPs must register and report.

Protein computing uses biomolecular interactions for parallel computation. Research stage with potential for ultra-low power, massive parallelism.

Zero-Knowledge Proofs enable proving statements without revealing underlying data. Critical for privacy-preserving authentication and selective disclosure.

DP-SGD adds calibrated noise to gradients during training, providing differential privacy guarantees. Critical for privacy-preserving ML training.

Horizontal scaling adds more instances of stateless services to handle increased load. Contrasts with vertical scaling (upgrading instance size).