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Generate QuizTechnology – Medium Level – GK Questions
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Knowledge distillation transfers capabilities from large teacher models to smaller student models.
- True
- False
Answer: True
Knowledge distillation trains compact models to mimic large teacher outputs, enabling efficient deployment on edge devices with minimal accuracy loss. Critical for scalable AI systems.
Which technique enables LLMs to generate code from natural language descriptions?
- Code LLMs
- Program Synthesis
- Both A and B
- Neither
Answer: Both A and B
Code LLMs (Codex, CodeLlama) trained on code corpora enable natural language to code generation. Program synthesis automates code creation from specifications. Critical for developer productivity tools.
The Digital Personal Data Protection Act 2023 applies extraterritorially to processing related to Indian individuals.
- True
- False
Answer: True
DPDP Act governs processing of digital personal data: (1) within India, and (2) outside India if offering goods/services or profiling individuals in India. Aligns with GDPR's extraterritorial scope.
Which body regulates telecommunications services and spectrum allocation in India?
- TRAI
- DoT
- TSDSI
- MeitY
Answer: TRAI
Telecom Regulatory Authority of India (TRAI) recommends policies, regulates tariffs, ensures QoS, and manages spectrum auctions. Critical for telecom sector governance questions.
The Indian initiative for promoting semiconductor manufacturing is called India ________ Mission.
- Events / Messages
- Firewall
- Artemis
- Semiconductor
Answer: Semiconductor
India Semiconductor Mission implements ₹76,000 crore incentive scheme for fabs, display fabs, ATMP, design. Partnerships with global players announced. Critical for tech sovereignty questions.
Feature engineering creates new input variables from raw data to improve model performance.
- True
- False
Answer: True
Feature engineering: domain knowledge, transformations, interactions, encoding. Often more impactful than algorithm selection. Critical for successful machine learning projects.
Which metric measures the ability of a classifier to distinguish between classes?
- Accuracy
- Precision
- ROC-AUC
- F1 Score
Answer: ROC-AUC
ROC-AUC (Receiver Operating Characteristic - Area Under Curve) measures classifier performance across all thresholds, robust to class imbalance. Critical for evaluating binary classification models.
The technique that combines multiple models to improve prediction accuracy is called ________ Learning.
- Ensemble
- Supervised
- Stream
- Augmented
Answer: Ensemble
Ensemble methods (bagging, boosting, stacking) combine weak learners to reduce variance, bias, or improve predictions. Random Forests and Gradient Boosting are widely used ensemble techniques.
Service mesh provides infrastructure-level observability, security, and traffic management for microservices.
- True
- False
Answer: True
Service mesh (Istio, Linkerd) deploys sidecar proxies for mTLS, retries, metrics, tracing. Decouples infrastructure concerns from application code. Critical for cloud-native architectures.
Which pattern enables automatic scaling of resources based on demand metrics?
- Auto-scaling
- Load Balancing
- Both A and B
- Neither
Answer: Both A and B
Auto-scaling adjusts resource count based on CPU, memory, or custom metrics; load balancing distributes traffic across instances. Combined for elastic, resilient cloud applications.
The process of containing and eradicating threats after detection is called Incident ________.
- Consortium
- Response
- Virtualization / NFV
- Work
Answer: Response
Incident response follows structured phases: preparation, detection, containment, eradication, recovery, lessons learned. Critical for minimizing breach impact and improving defenses.
Which tool automates vulnerability scanning and prioritization for remediation?
- Nessus
- Qualys
- Both A and B
- Neither
Answer: Both A and B
Vulnerability scanners (Nessus, Qualys, OpenVAS) identify security weaknesses, prioritize by risk, and track remediation. Critical for proactive security posture management.
Canary deployments release new model versions to small user subsets before full rollout.
- True
- False
Answer: True
Canary deployment minimizes risk by gradually expanding model exposure, monitoring metrics, and rolling back if issues arise. Critical for safe ML system updates in production.
Which practice detects when model performance degrades due to changing data distributions?
- Data Drift Detection
- Concept Drift Detection
- Both A and B
- Neither
Answer: Both A and B
Data drift: input feature distribution changes; concept drift: relationship between features and target changes. Monitoring both enables timely model retraining. Critical for production ML reliability.
LoRA (Low-Rank Adaptation) fine-tunes large models by updating small rank decomposition matrices.
- True
- False
Answer: True
LoRA adds low-rank matrices to weight updates, reducing trainable parameters by 100-1000x vs full fine-tuning. Enables efficient adaptation of LLMs on consumer hardware. Critical for resource-constrained AI.
Which technique enables LLMs to answer questions by retrieving relevant documents?
- Fine-tuning
- RAG
- Prompt Engineering
- All of these
Answer: RAG
Retrieval-Augmented Generation (RAG) combines LLMs with vector database retrieval, grounding responses in verified sources. Reduces hallucinations and enables knowledge updates without retraining.
The international organization that develops global internet standards is called World Wide Web ________.
- India
- Observability
- Consortium / W3C
- Academic Bank of Credits / DigiLocker
Answer: Consortium / W3C
W3C develops web standards: HTML, CSS, XML, accessibility guidelines. Ensures interoperability and innovation on the web. India participates through W3C India office. Critical for web policy questions.
Data localization requirements mandate storing certain data within national borders for sovereignty.
- True
- False
Answer: True
Data localization (RBI payment data, DPDP Act provisions) ensures law enforcement access, reduces foreign surveillance risks. Balances sovereignty with global data flow needs. Critical for policy questions.
Which initiative promotes open-source software for public sector digital transformation?
- Digital India
- FOSS Policy
- Both A and B
- Neither
Answer: Both A and B
Digital India encourages FOSS adoption for cost-effectiveness, security, and vendor independence. MeitY's FOSS policy provides guidelines for government use. Critical for sustainable digital governance.
The Indian policy framework for responsible AI development is called National Strategy for ________.
- Artificial Intelligence / #AIforAll
- Precision
- -a
- Chandrayaan
Answer: Artificial Intelligence / #AIforAll
#AIforAll strategy (NITI Aayog) focuses on leveraging AI for inclusive growth across healthcare, agriculture, education. Emphasizes research, skilling, data governance, and ethical principles.