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Answer: RLHF
Reinforcement Learning from Human Feedback (RLHF) trains reward models from human rankings, then optimizes LLM to maximize rewards. Critical for aligning AI with human values and safety.
Answer: All of these
Effective tech policy: technology-neutral (focus on outcomes), proportionate to risks, adaptable to innovation. Balances consumer protection with innovation incentives. Critical for policy design.
Answer: TSDSI
Telecommunications Standards Development Society, India (TSDSI) develops indigenous telecom standards, represents India in 3GPP, ITU. Critical for technology sovereignty and 5G/6G leadership.
Answer: Multiple Imputation
Multiple imputation creates several completed datasets with different plausible values for missing data, analyzing each and combining results. Accounts for uncertainty vs single imputation methods.
Answer: PCA
Principal Component Analysis (PCA) transforms features into orthogonal components ordered by variance explained. Enables visualization, noise reduction, and faster model training.
Answer: Histogram
Histograms bin continuous data to show frequency distribution, revealing skewness, outliers, and modality. Critical for exploratory data analysis and statistical understanding.
Answer: Refactor
Refactor (re-architect) redesigns applications for cloud-native: microservices, serverless, containers. Maximizes cloud benefits but requires significant effort. Critical for digital transformation.
Answer: Multi-Cloud
Multi-cloud architecture distributes workloads across AWS, Azure, GCP to avoid vendor lock-in, improve resilience, and leverage best-of-breed services. Critical for enterprise cloud strategy.
Answer: Both A and B
NIST SP 800-61 and ISO 27035 provide structured incident response methodologies. Critical for consistent, effective handling of security incidents in enterprises.
Answer: SIEM
SIEM (Security Information and Event Management) aggregates logs, correlates events, and detects anomalies across network, endpoint, and application sources. Foundation for modern SOC operations.
Answer: All of these
MLOps platforms integrate: feature stores for consistent data, model registries for versioning, serving infrastructure for scalable inference. Critical for production ML system reliability.
Answer: Both A and B
Function calling/tool use enables LLMs to invoke APIs, run code, query databases for tasks beyond text generation. Critical for building agentic AI systems that interact with real-world systems.
Answer: All of these
MLOps combines: CI/CD for automated deployment, drift detection for performance monitoring, A/B testing for validation. Critical for maintaining ML system reliability and business value over time.
Answer: RAG
Retrieval-Augmented Generation (RAG) combines LLMs with external knowledge retrieval, reducing hallucinations by grounding responses in verified sources. Critical for factual accuracy in enterprise AI applications.
Answer: Transformer
Transformer architecture (Vaswani et al., 2017) uses self-attention mechanisms to process sequences in parallel, enabling scaling to billions of parameters. Foundation for GPT, BERT, LLaMA, and other LLMs. Critical for understanding modern AI systems.
Answer: Compiling Source Code
Compiling source code is performed by compiler software (like GCC, javac), not the OS. OS functions include: process management, memory management, file system management, device management, security, and user interface. Compilers are application/system software that run ON the OS.
Answer: Computer Vision
Computer Vision enables machines to interpret and understand visual information from the world using cameras and AI algorithms. Applications include facial recognition, medical imaging analysis, autonomous vehicles, quality inspection, and augmented reality. Combines deep learning, image processing, and pattern recognition.
Answer: VSSC
VSSC (Vikram Sarabhai Space Centre), Thiruvananthapuram, is ISRO's lead center for launch vehicle development including PSLV, GSLV, and LVM3. URSC handles satellites, LPSC develops propulsion systems, ISAC integrates satellites. ISRO has multiple specialized centers across India.
Answer: 3NF
Third Normal Form (3NF) requires that a table is in 2NF and has no transitive dependencies (non-key attributes depending on other non-key attributes). This reduces redundancy and update anomalies. BCNF is a stricter version of 3NF handling certain edge cases in dependency relationships.
Answer: CDMA
CDMA (Code Division Multiple Access) allows multiple users to transmit simultaneously on same frequency by assigning unique spreading codes. Used in 3G networks. FDMA divides frequency, TDMA divides time slots, OFDMA (used in 4G/5G) combines frequency and time division with orthogonal subcarriers.