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Answer: UEBA
UEBA uses ML to establish behavioral baselines and detect anomalies indicating compromised accounts or insider threats.
Answer: All of these
Code LLMs (Codex, CodeLlama) trained on code repositories enable natural language to code generation. Combined with fine-tuning and prompt engineering for developer productivity tools.
Answer: True
Transparent tracking from origin to consumer.
Answer: True
Critical for net-zero pathways and climate mitigation.
Answer: True
Intended use, training data, evaluation metrics, limitations.
Answer: True
Critical for cloud security posture management.
Answer: True
Global efforts to reduce supply chain concentration.
Answer: True
Declarative infrastructure management with peer review.
Answer: True
Nodes and edges for fraud detection, recommendations.
Answer: True
IoT, AI, simulation for physical asset optimization.
Answer: True
Integrated with Aadhaar for authentication under IT Act.
Answer: True
Collect only necessary information for specified purpose.
Answer: True
Blue-green, canary, feature flags for zero-downtime releases.
Answer: True
Aims to send astronauts to low Earth orbit.
Answer: True
Self-executing programs for DeFi, supply chain, insurance.
Answer: True
Critical for steel, cement, shipping decarbonization.
Answer: True
Guidelines for identifying, assessing, mitigating AI risks.
Answer: True
Critical for preventing misconfiguration-related breaches.
Answer: True
Adopted by 40+ countries including India.
Answer: True
Measures time from code commit to production deployment.