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Answer: Both A and B
Managed API gateways (AWS API Gateway, GCP Endpoints) handle routing, auth, throttling, monitoring. Critical for secure, scalable microservices exposure.
Answer: Hunting
Threat hunting uses hypotheses, analytics, and analyst expertise to find hidden adversaries. Complements automated detection. Critical for advanced persistent threat defense.
Answer: Both A and B
SIEM platforms aggregate logs from network, endpoint, application sources, enabling correlation, alerting, and investigation. Foundation for modern security operations.
Answer: True
Continuous training pipelines monitor data drift, performance metrics, and trigger retraining with validation. Critical for maintaining ML system relevance in dynamic environments.
Answer: Both A and B
Fairness testing: bias audits detect disparate impact, fairness metrics (demographic parity, equalized odds) quantify equity. Critical for ethical AI deployment in regulated sectors.
Answer: True
Instruction tuning fine-tunes LLMs on datasets of instructions and desired responses, improving task completion and helpfulness. Foundation for chat-optimized models.
Answer: RAG
Retrieval-Augmented Generation (RAG) combines LLMs with vector search over document collections, grounding responses in verified sources. Reduces hallucinations and enables knowledge updates.
Answer: Corporation for Assigned Names and Numbers / ICANN
ICANN coordinates domain names, IP addresses, protocol parameters. Multi-stakeholder model ensures open, interoperable internet. India participates through government and civil society.
Answer: All of these
Digital India ecosystem: UMANG for service delivery, MyGov for citizen engagement, DigiLocker for documents. Integrated approach for inclusive digital governance.
Answer: Interdisciplinary Cyber Physical Systems / NM-ICPS
NM-ICPS (DST) funds R&D in AI, IoT, robotics, quantum technologies. Aims to build indigenous capabilities and innovation ecosystem. Critical for strategic technology questions.
Answer: True
Hyperparameter tuning: grid search, random search, Bayesian optimization. Critical for maximizing model performance but requires careful validation to avoid overfitting.
Answer: Both A and B
Box plots show median, quartiles, outliers; violin plots add density estimation. Both effective for comparing distributions across categories. Critical for exploratory data analysis.
Answer: Stratified
Stratified sampling maintains class proportions in train/test splits, critical for imbalanced classification tasks. Prevents evaluation bias from skewed splits.
Answer: True
CDNs (CloudFront, Cloud CDN) distribute content to edge locations near users, reducing latency and origin load. Critical for global application performance and user experience.
Answer: Both A and B
Managed databases (AWS RDS, GCP Cloud SQL) handle provisioning, patching, backups, scaling. Reduces operational overhead vs self-managed databases. Critical for cloud application development.
Answer: Incident
Post-incident review captures lessons learned: what happened, response effectiveness, root causes, improvements. Critical for continuous security program maturity.
Answer: Both A and B
Email security combines: SPF/DKIM for authentication, ML for content analysis, heuristics for known patterns. Layered defense critical for phishing protection.
Answer: True
A/B testing randomly assigns users to model variants, measuring metrics like conversion, engagement. Critical for data-driven model iteration and business value validation.
Answer: Both A and B
MLOps tools: DVC versions data and models, MLflow tracks experiments and deployments. Combined with Git for end-to-end reproducibility. Critical for enterprise ML governance.
Answer: True
Prompt engineering: clear instructions, examples, formatting, chain-of-thought. Low-cost method to improve LLM outputs without retraining. Critical for practical LLM applications.