Quizzes

150 questions on data pipelines, fine-tuning, agents, MLOps, observability and compliance.

150 scenario-based questions mapped to the official AWS AIF-C01 exam guide — fundamentals, generative AI, foundation models, responsible AI, security & governance.

150 scenario-based questions mapped to the official AWS MLA-C01 exam guide — data preparation, model development, deployment & orchestration, monitoring, maintenance and security on Amazon SageMaker.

150 scenario-based questions on running AI and ML workloads on Kubernetes — GPU scheduling, Kubeflow, KServe, Volcano, Ray on K8s, MLOps pipelines, observability and production operations.

250 questions covering AI system design from foundational trade-offs to production patterns — RAG at scale, LLM serving & inference, streaming ML, and agentic systems. Suitable for FAANG/unicorn interview preparation and practitioner reference.

150 production-focused questions on agentic AI — what agents actually are (vs marketing), when agents are the wrong answer, tool use and the Model Context Protocol (MCP), the four major frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel), memory, planning, multi-agent orchestration, and the production engineering — evaluation, observability, cost, prompt-injection defence — that separates shipping agents from demos.

150 production-focused questions on Retrieval-Augmented Generation — when RAG wins (and when it does not), chunking discipline, embedding model selection, vector store trade-offs, hybrid retrieval, reranking, advanced patterns (multi-hop, GraphRAG, agentic RAG, Self-RAG, CRAG), RAGAS evaluation, observability, cost, and security. Built for engineers shipping RAG systems beyond the 5-line tutorial.

250 deep-dive questions on the React Native New Architecture (2026) — Fabric renderer, TurboModules, JSI, Codegen, Bridgeless mode, brownfield migration, ecosystem libraries (Reanimated, Navigation 7, FlashList), and production debugging. Built for senior RN engineers and interview prep.

100 deep-dive questions on Flutter fundamentals — widget/element/RenderObject triad, BuildContext semantics, async primitives, Dart 3 idioms, the five SOLID principles applied, and the three dominant state management libraries (Provider, BLoC, Riverpod) compared evenhandedly. Part 1 of the senior Flutter architect series.

100 deep-dive questions on layered Flutter architecture and native interop — three-layer Clean Architecture (presentation/domain/data), DI patterns, error handling across layers, MethodChannel, EventChannel, Pigeon, Dart FFI, federated plugins, hardware access, background execution, and security hardening. Part 2 of the senior Flutter architect series.

100 deep-dive questions on enterprise-scale Flutter — Melos monorepo patterns, feature packages, multi-journey composition, go_router nested routing, observability, security hardening, DPDPA/GDPR compliance, release engineering, team governance, and the super-app mini-app patterns powering Paytm, Grab and WeChat. Part 3 of the senior Flutter architect series.

75 scenario-based questions on DPDPA 2023 (with DPDP Rules 2025) and EU AI Act compliance — risk classification, SDF obligations, engineering patterns, cross-border transfers, DPIAs, high-risk AI, incident response, audits. Built for platform engineers, ML engineers, architects, and CTOs translating regulation into running systems.

150 scenario-driven questions on fine-tuning large language models in production — dataset curation, PEFT (QLoRA/LoRA/DoRA), supervised fine-tuning mechanics, preference optimization (DPO/SimPO/ORPO/KTO/RLHF), VRAM math, evaluation, and production deployment. Built for ML engineers shipping fine-tuned models.