Fill in the Blank – GK Questions

Differential Privacy mathematically guarantees query results don't reveal individual records. Used in census, health analytics, tech telemetry for privacy-preserving insights.

Differential Privacy adds mathematical noise to model outputs, providing provable privacy guarantees against membership inference and model inversion attacks.

Security as Code defines policies in declarative format (OPA, Sentinel), enabling version control, testing, automated enforcement. Critical for scalable cloud security governance.

Application-layer encryption ensures data remains encrypted even if storage or network layers are compromised. Critical for end-to-end data protection in Zero Trust architectures.

Instruction tuning fine-tunes LLMs on instruction datasets, improving task completion and helpfulness.

CDNs distribute content to edge locations near users, reducing latency and origin load.

NEP 2020 emphasizes computational thinking, coding, AI exposure from Class 6 onwards.

Model registries manage model versions, parameters, metrics, deployment history.

Hyperparameter tuning: grid search, random search, Bayesian optimization. Critical for maximizing performance.

Self-supervised learning creates supervisory signals from data structure: mask prediction, next sentence prediction.

Section 115BBH taxes crypto income at 30% plus cess, with 1% TDS on transactions.

Cellular computing uses biochemical reactions in cells for parallel computation. Early research stage.

Aditya-L1 positioned at Sun-Earth L1 point for uninterrupted solar observation. Studies coronal heating, CMEs, solar flares for space weather forecasting.

Molecular computing uses DNA, proteins, or cellular processes for massive parallelism. Research stage with potential for ultra-low power, complex problem solving.

NM-QTA funds quantum computing, communication, sensing, materials research. Implemented by DST with IITs, IISc participation.

Purpose Limitation prevents function creep by ensuring data is used only as consented. Core principle in GDPR, DPDP Act, and global privacy frameworks.

Randomized smoothing provides certified robustness guarantees against adversarial perturbations by averaging predictions over noisy inputs.

IaC scanning (Checkov, tfsec) analyzes Terraform/CloudFormation for misconfigurations before deployment. Critical for shift-left security in DevOps.

NIST SP 800-207 provides comprehensive Zero Trust guidance: identity verification, device trust, network segmentation, continuous monitoring.

Chandrayaan-3's Vikram lander and Pragyan rover analyzed lunar soil near south pole, searching for water ice and studying surface composition.