Technology – Hard Level – GK Questions

Q: Which pattern enables gradual traffic shifting between application versions for safe deployments?

All of these – Safe deployment patterns: blue-green (instant switch), canary (gradual rollout), feature flags (toggle functionality). Combined for zero-downtime, low-risk releases. Critical for DevOps practices.

Q: The technique that enables LLMs to reason about visual inputs by combining vision and language models is called ________.

Multimodal Learning – Multimodal models (CLIP, LLaVA) process text, images, audio jointly, enabling visual question answering, image captioning, and cross-modal retrieval. Critical for next-gen AI applications.

Q: Which technique handles high-cardinality categorical variables efficiently?

All of these – High-cardinality handling: one-hot for low cardinality, target encoding for medium, embeddings for high (deep learning). Choice depends on model type and cardinality. Critical for feature preprocessing.

Q: Which disaster recovery strategy maintains a fully operational standby environment in another region?

Multi-Site Active-Active – Active-active runs full workload in multiple regions simultaneously, enabling instant failover with zero RPO/RTO. Highest cost but maximum resilience. Critical for mission-critical systems.

Q: The technique that enables LLMs to plan and execute multi-step tasks autonomously is called ________ Agents.

AI / Autonomous – AI agents combine LLMs with planning, tool use, memory for autonomous task execution. Applications: research assistants, customer service, workflow automation. Critical for next-gen AI systems.

Q: Which framework provides guidelines for interoperable digital identity systems globally?

Both A and B – ISO/IEC 24760 provides identity management framework; W3C DID enables decentralized identifiers. Both support interoperable, privacy-preserving digital identity systems. Critical for identity policy questions.

Q: Which technique handles class imbalance by generating synthetic minority samples?

SMOTE – SMOTE (Synthetic Minority Over-sampling Technique) creates synthetic examples by interpolating between minority class neighbors. Improves classifier performance on imbalanced data vs simple oversampling.

Q: Which architecture enables event-driven communication between microservices using message brokers?

Event-Driven Architecture – Event-driven architecture uses message brokers (Kafka, RabbitMQ) for asynchronous, decoupled service communication. Enables scalability, resilience, and real-time processing. Critical for modern distributed systems.

Q: Which technique enables automated analysis of malware behavior in isolated environments?

All of these – Malware analysis combines: static (code inspection), dynamic (runtime behavior), sandboxing (isolated execution). Critical for threat intelligence and incident response.

Q: The technique that compresses large models by removing redundant parameters while preserving performance is called Model ________.

Pruning – Model pruning removes low-importance weights/neurons, reducing size and inference cost. Combined with quantization for efficient edge deployment. Critical for scalable AI systems.