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Generate QuizMedium Level – GK Questions
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Prompt injection attacks manipulate LLMs by crafting inputs that override system instructions.
- True
- False
Answer: True
Prompt injection exploits LLM instruction-following to bypass safety guards, extract training data, or execute unauthorized actions. Critical vulnerability for LLM applications requiring robust input sanitization.
Which technique enables LLMs to learn from human feedback to align with preferences?
- Supervised Fine-Tuning
- RLHF
- Prompt Engineering
- All of these
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.
The framework for international cooperation on AI governance is called Global Partnership on ________.
- Meghdoot / mKisan
- Frequency
- LLDP / CDP
- Artificial Intelligence / GPAI
Answer: Artificial Intelligence / GPAI
GPAI (founded 2020) brings together experts for responsible AI: research, policy, best practices. India is founding member. Critical for understanding global AI governance landscape.
Digital diplomacy uses technology to advance foreign policy objectives and international cooperation.
- True
- False
Answer: True
Digital diplomacy: cyber norms, data governance, tech partnerships, capacity building. India actively engages in UN, GPAI, OECD on AI ethics, cybersecurity, digital trade. Critical for foreign policy questions.
Which body develops technical standards for telecommunications in India?
- TRAI
- TSDSI
- MeitY
- CERT-In
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.
The Indian initiative for developing open digital public infrastructure is called ________ Stack.
- Container / Image
- Artificial Intelligence
- BharatKosh / e-Payments
- India
Answer: India
India Stack layers: identity (Aadhaar), payments (UPI), data sharing (AA), documents (DigiLocker). Enables innovation on public digital infrastructure. Critical for digital governance questions.
Data ethics requires considering fairness, privacy, and societal impact of analytics projects.
- True
- False
Answer: True
Responsible data science: fairness audits for bias, privacy-preserving techniques, impact assessments. Critical for ethical AI deployment and regulatory compliance (DPDP Act).
Which technique reduces dataset dimensionality while preserving variance?
- Clustering
- PCA
- Regression
- Classification
Answer: PCA
Principal Component Analysis (PCA) transforms features into orthogonal components ordered by variance explained. Enables visualization, noise reduction, and faster model training.
The metric that measures the proportion of positive predictions that are actually correct is called ________.
- Differential Privacy / DP
- Container / Image
- Precision
- Fairness
Answer: Precision
Precision = TP / (TP + FP). Critical for imbalanced classification tasks where false positives are costly (fraud detection, medical diagnosis). Complements recall for comprehensive evaluation.
Which visualization type is best for showing distribution of a continuous variable?
- Bar Chart
- Histogram
- Pie Chart
- Scatter Plot
Answer: Histogram
Histograms bin continuous data to show frequency distribution, revealing skewness, outliers, and modality. Critical for exploratory data analysis and statistical understanding.
Infrastructure as Code enables version-controlled, repeatable cloud resource provisioning.
- True
- False
Answer: True
IaC (Terraform, CloudFormation) defines infrastructure in declarative code, enabling version control, peer review, automated testing, and consistent deployments. Critical for cloud governance.
The approach of keeping sensitive data on-premises while using cloud for compute is called ________ Cloud.
- Water Ice / Oxygen
- IMD / ISRO
- Hybrid
- Accessibility
Answer: Hybrid
Hybrid cloud combines on-premises infrastructure with public cloud services. Enables data sovereignty compliance while leveraging cloud scalability. Critical for regulated industries.
Which pattern enables applications to run across multiple cloud providers for resilience?
- Multi-Cloud
- Hybrid Cloud
- Cloud Bursting
- All of these
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.
SOAR platforms automate repetitive security tasks and orchestrate response workflows.
- True
- False
Answer: True
SOAR (Security Orchestration, Automation, and Response) automates playbooks: alert triage, enrichment, containment actions. Reduces analyst workload and response time. Critical for SOC efficiency.
Which framework standardizes incident response phases: preparation, detection, containment, eradication, recovery?
- NIST SP 800-61
- ISO 27035
- Both A and B
- Neither
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.
The process of actively searching for threats that evade automated detection is called Threat ________.
- Anomaly
- Partnership on AI / Open Source Initiative
- ABHA / Ayushman Bharat Digital Mission
- Hunting
Answer: Hunting
Threat hunting uses hypotheses, analytics, and analyst expertise to find hidden adversaries. Complements automated detection. Critical for advanced persistent threat (APT) defense.
Threat intelligence feeds provide indicators of compromise (IOCs) for proactive defense.
- True
- False
Answer: True
Threat intelligence (commercial, open-source, ISACs) provides IOCs: malicious IPs, domains, hashes, TTPs. Enables proactive blocking and hunting. Critical for mature security operations.
Which SOC component correlates alerts from multiple sources to identify advanced threats?
- SIEM
- SOAR
- EDR
- All of these
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.
Which platform component manages ML model deployment and serving at scale?
- Feature Store
- Model Registry
- Serving Infrastructure
- All of these
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.
Quantization reduces LLM model size and inference latency by using lower-precision numbers.
- True
- False
Answer: True
Quantization (INT8, INT4) reduces model size 2-4x with minimal accuracy loss, enabling deployment on edge devices and reducing cloud inference costs. Critical for scalable LLM serving.