Technology – True/False – GK Questions

Q: India's National Mission on Quantum Technologies allocates ₹8000 crore over 5 years.

True – NM-QTA allocates ₹8000 crore for quantum computing, communication, sensing, materials research. Implemented by DST with IITs, IISc participation.

Q: The Right to Portability allows individuals to receive their personal data in a structured, commonly used format.

True – Right to Portability enables individuals to obtain and reuse their personal data across services. Promotes competition and user control.

Q: The Startup India initiative provides tax benefits, easier compliance, and IPR fast-tracking for recognized startups.

True – Startup India offers 3-year income tax exemption, self-certification compliance, fast-track patent examination for DPIIT-recognized startups.

Q: The concept of 'technological sovereignty' emphasizes reducing dependence on foreign technology through domestic innovation.

True – Technological sovereignty promotes domestic R&D, manufacturing, standards to reduce strategic dependencies. Critical for India's tech policy and security.

Q: Membership inference attacks determine whether specific individuals were in a model's training data.

True – Membership inference exploits model confidence scores to infer training data membership. Mitigation: differential privacy, regularization, output perturbation.

Q: The Right to Erasure allows individuals to request deletion of their personal data under DPDP Act.

True – Right to Erasure (Right to be Forgotten) allows individuals to request deletion when data no longer necessary or consent withdrawn. Critical for privacy compliance.

Q: Data poisoning attacks manipulate training data to compromise model behavior during inference.

True – Data poisoning injects malicious samples into training data to cause targeted misclassifications or backdoors. Mitigation: data validation, robust training, anomaly detection.

Q: The DPDP Act 2023 applies extraterritorially to processing related to Indian individuals.

True – DPDP Act governs processing of digital personal data: (1) within India, and (2) outside India if offering goods/services or profiling individuals in India.

Q: Model inversion attacks reconstruct training data from model outputs, posing privacy risks.

True – Model inversion exploits model predictions to infer sensitive training data attributes. Mitigation: differential privacy, output perturbation, access controls. Critical for privacy-preserving ML.

Q: UPI Lite enables small-value transactions without entering UPI PIN for faster checkout.

True – UPI Lite is an on-device wallet for small transactions (up to ₹500 per transaction, ₹4000 daily balance). Allows PIN-less payments for quick checkout at merchants, reducing dependency on bank server availability. Balance is loaded from linked bank account; ideal for transit, food, and micro-payments.