The Digital India Act proposal includes provisions for algorithmic transparency.
- True
- False
Answer: True
Digital India Act aims to address platform accountability, user rights, emerging tech governance.
True/False – GK Questions
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India's UPI system has inspired similar real-time payment frameworks globally.
- True
- False
Answer: True
UPI's success led to international linkages: Singapore, UAE, France discussions.
CBDCs are sovereign digital currency issued by central banks with legal tender status.
- True
- False
Answer: True
CBDCs differ from cryptocurrencies: issued by central banks, legal tender, regulated monetary policy.
Federated Learning enables machine learning on decentralized data without sharing raw datasets.
- True
- False
Answer: True
Federated Learning trains models across devices/servers holding local data, sharing only model updates.
AI Ethics Officers govern responsible AI: bias mitigation, explainability, compliance.
- True
- False
Answer: True
AI Ethics Officers are emerging roles focused on ensuring AI systems are fair, transparent, accountable.
SDN decouples network control plane from data plane for programmable networks.
- True
- False
Answer: True
SDN centralizes control in software controllers, enabling dynamic traffic management, automation.
India achieved one of the world's fastest 5G rollouts, covering 300+ cities within 18 months of spectrum auction.
- True
- False
Answer: True
India's rapid 5G deployment driven by competitive telecom operators, government policy support, indigenous technology development. Critical for digital infrastructure questions.
Blockchain technology can be used to create tamper-proof land records and property registries.
- True
- False
Answer: True
Blockchain's immutability, transparency, decentralization make it suitable for land records management. Pilot projects in Andhra Pradesh, Telangana, Maharashtra use blockchain.
Zero Trust Architecture assumes breach and verifies every request regardless of network location.
- True
- False
Answer: True
Zero Trust implements: identity verification, least privilege, micro-segmentation, continuous monitoring. Assumes no implicit trust based on network location.
GitOps uses Git repositories as single source of truth for infrastructure and application deployments.
- True
- False
Answer: True
GitOps (ArgoCD, Flux) declaratively defines desired state in Git; operators sync cluster state. Benefits: audit trail, rollback via git revert, peer review via PRs.
Edge computing processes data closer to source to reduce latency for IoT applications.
- True
- False
Answer: True
Edge computing brings computation to network edge (routers, gateways), enabling real-time processing for IoT, autonomous vehicles, industrial automation. Complements cloud.
Digital twins create virtual replicas of physical systems for simulation and optimization.
- True
- False
Answer: True
Digital twins combine IoT, AI, simulation to model physical assets: factories, cities, power grids. Enables predictive maintenance, scenario testing. Critical for Industry 4.0.
ISO/IEC 20022 is a global standard for financial messaging and payment systems.
- True
- False
Answer: True
ISO 20022 defines rich, structured data standards for payments, securities, trade finance. Enables interoperability, automation, compliance. Critical for financial infrastructure modernization.
ISO/IEC 27001 provides requirements for information security management systems.
- True
- False
Answer: True
ISO/IEC 27001 specifies ISMS requirements: risk assessment, controls, monitoring, improvement. Certification demonstrates commitment to security best practices.
DigiLocker documents have legal validity equivalent to physical originals under the IT Act.
- True
- False
Answer: True
As per IT Rules, documents issued by registered authorities through DigiLocker are legally valid and equivalent to physical originals under the Information Technology Act, 2000.
Interactive dashboards enable users to explore data dynamically through filters and drill-downs.
- True
- False
Answer: True
Interactive visualizations (Tableau, Power BI, Plotly) enable self-service analytics: filtering, sorting, drilling into details. Critical for data-driven decision making across organizations.
Data minimization requires collecting only necessary personal information for AI training.
- True
- False
Answer: True
Data minimization (DPDP Act, GDPR) limits collection to what's necessary for specified purpose. Reduces privacy risks, storage costs, breach impact. Critical for responsible AI data practices.
Algorithmic bias can perpetuate societal inequalities if not actively mitigated in ML systems.
- True
- False
Answer: True
Bias in training data or model design can lead to discriminatory outcomes. Mitigation: diverse datasets, fairness metrics, bias audits, human oversight. Critical for ethical AI deployment.
Data lakes store raw, unprocessed data in native format, while data warehouses store structured, processed data.
- True
- False
Answer: True
Data lakes (S3, ADLS) store raw structured/unstructured data for flexible analysis; data warehouses (Snowflake, Redshift) store curated, schema-on-write data for BI. Modern: lakehouse pattern combines both.
Serverless architectures eliminate the need for capacity planning and infrastructure management.
- True
- False
Answer: True
Serverless (Lambda, Cloud Functions) auto-scales based on demand, charges per execution. Trade-offs: cold starts, vendor lock-in, execution limits. Critical for cost-optimized cloud design.