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The technique that enables data analysis while protecting individual identities through statistical noise is called ________ Privacy.
Answer: Differential
Differential Privacy mathematically guarantees query results don't reveal individual records. Used in census, health analytics, tech telemetry for privacy-preserving insights.
The technique that protects ML models by adding calibrated noise to outputs to prevent inference attacks is called ________ Privacy.
Answer: Differential
Differential Privacy adds mathematical noise to model outputs, providing provable privacy guarantees against membership inference and model inversion attacks.
The practice of managing cloud security policies as code for version control and automation is called Security as ________.
Answer: Code
Security as Code defines policies in declarative format (OPA, Sentinel), enabling version control, testing, automated enforcement. Critical for scalable cloud security governance.
The practice of encrypting data at the application level before storage or transmission is called ________ Encryption.
Answer: Application-Layer
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 adapts LLMs to follow user instructions by training on ________-response pairs.
Answer: Prompt
Instruction tuning fine-tunes LLMs on instruction datasets, improving task completion and helpfulness.
Content Delivery Networks cache content at edge locations to reduce ________ for global users.
Answer: Latency
CDNs distribute content to edge locations near users, reducing latency and origin load.
The National Education Policy 2020 mandates integration of coding and AI literacy from ________ school.
Answer: Middle
NEP 2020 emphasizes computational thinking, coding, AI exposure from Class 6 onwards.
Model registries track versions, metadata, and lineage of ML models for ________.
Answer: Governance
Model registries manage model versions, parameters, metrics, deployment history.
Hyperparameter tuning optimizes model performance by searching ________ combinations.
Answer: Parameter
Hyperparameter tuning: grid search, random search, Bayesian optimization. Critical for maximizing performance.
Self-supervised learning enables models to learn from unlabeled data by predicting ________ tokens.
Answer: Masked
Self-supervised learning creates supervisory signals from data structure: mask prediction, next sentence prediction.
The Indian tax provision that imposes 30% tax on income from virtual digital assets is Section ________.
Answer: 115BBH
Section 115BBH taxes crypto income at 30% plus cess, with 1% TDS on transactions.
The computing paradigm that uses cellular processes for computation is called ________ Computing.
Answer: Cellular / Biological
Cellular computing uses biochemical reactions in cells for parallel computation. Early research stage.
The Indian mission designed to study the Sun's corona from the L1 point is called ________-L1.
Answer: Aditya
Aditya-L1 positioned at Sun-Earth L1 point for uninterrupted solar observation. Studies coronal heating, CMEs, solar flares for space weather forecasting.
The computing paradigm that uses biochemical reactions for parallel computation is called ________ Computing.
Answer: Molecular / Biochemical
Molecular computing uses DNA, proteins, or cellular processes for massive parallelism. Research stage with potential for ultra-low power, complex problem solving.
India's National Mission on Quantum Technologies allocates ₹________ crore over 5 years.
Answer: 8000
NM-QTA funds quantum computing, communication, sensing, materials research. Implemented by DST with IITs, IISc participation.
The principle that requires using personal data only for specified, explicit purposes is called ________ Limitation.
Answer: Purpose
Purpose Limitation prevents function creep by ensuring data is used only as consented. Core principle in GDPR, DPDP Act, and global privacy frameworks.
The technique that smooths model predictions by adding noise to inputs during inference is called ________ Smoothing.
Answer: Randomized
Randomized smoothing provides certified robustness guarantees against adversarial perturbations by averaging predictions over noisy inputs.
The practice of scanning Infrastructure as Code templates for security misconfigurations is called ________ Scanning.
Answer: IaC / Infrastructure as Code
IaC scanning (Checkov, tfsec) analyzes Terraform/CloudFormation for misconfigurations before deployment. Critical for shift-left security in DevOps.
The framework that provides guidelines for implementing Zero Trust Architecture is called NIST SP ________.
Answer: 800-207
NIST SP 800-207 provides comprehensive Zero Trust guidance: identity verification, device trust, network segmentation, continuous monitoring.
The Indian mission that successfully landed near the Moon's south pole in 2023 is called ________-3.
Answer: Chandrayaan
Chandrayaan-3's Vikram lander and Pragyan rover analyzed lunar soil near south pole, searching for water ice and studying surface composition.