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Answer: Both A and B
GDPR requires explicit consent for special category data; ePrivacy Directive covers electronic communications. Both emphasize user control and transparency in data processing.
Answer: All of these
Adversarial defenses: adversarial training includes perturbed examples, defensive distillation smooths outputs, randomized smoothing adds noise. All improve robustness against adversarial attacks.
Answer: All of these
Kubernetes security: Pod Security Policies restrict privileges, Network Policies control traffic, Resource Limits prevent DoS. Combined for defense-in-depth in container environments.
Answer: All of these
Zero Trust combines: never trust always verify (continuous authentication), assume breach (detect/contain threats), least privilege (minimum access). All principles work together for comprehensive security.
Answer: Transformer
Transformer uses self-attention for parallel sequence processing.
Answer: Time Series Forecasting
Time series forecasting models temporal patterns.
Answer: Parquet
Parquet is columnar storage optimized for analytics.
Answer: All of these
Kafka, Flink, Spark Streaming enable real-time analytics.
Answer: Both A and B
STIX/TAXII standardizes exchange; MITRE ATT&CK catalogs TTPs.
Answer: CSPM
CSPM automates detection/remediation of misconfigurations.
Answer: Both A and B
MFA requires multiple factors; adaptive authentication adjusts based on risk.
Answer: All of these
Digital India ecosystem: UMANG, MyGov, DigiLocker.
Answer: Both A and B
Startup India integrates Hub, DPIIT recognition, NITI Aayog policy.
Answer: Gaganyaan
Gaganyaan is ISRO's human spaceflight program.
Answer: SPADEX
SPADEX demonstrated autonomous rendezvous and docking in Earth orbit.
Answer: W3C
World Wide Web Consortium develops web standards ensuring interoperability.
Answer: UMANG
UMANG offers 1,200+ services: Aadhaar, PAN, EPFO, utilities, health.
Answer: All of these
MLOps combines CI/CD, drift detection, A/B testing for production ML.
Answer: RAG
Retrieval-Augmented Generation combines LLMs with external knowledge retrieval.
Answer: Time Series Forecasting
Time series forecasting models temporal patterns for demand prediction, anomaly detection.