🧠 Knowledge Assessment Hub

Test your understanding of horizontal vs vertical scaling, load balancing, and scalability patterns

Assess knowledge of ACID properties, normalization, sharding, and database selection

Evaluate understanding of latency, throughput, SLAs, and monitoring strategies

Test your ability to approach system design problems systematically

Evaluate understanding of transformer architecture, training, and inference optimization

Test knowledge of retrieval-augmented generation and vector similarity search

Assess understanding of responsible AI deployment and safety mechanisms

Test knowledge of model serving, optimization, and production deployment

Evaluate understanding of data processing, feature engineering, and ML workflows

Test knowledge of distributed training, hyperparameter optimization, and model selection

Assess understanding of production ML operations and monitoring strategies

Test knowledge of feature management and real-time ML serving architectures

Comprehensive test of CAP theorem, consensus algorithms, and distributed computing

Test understanding of caching patterns, eviction policies, and performance optimization

Evaluate knowledge of microservices patterns, service discovery, and communication