04DATA_ENGINEER ANALISTA DE DATOS ANALISTA_DATOS Casos Exito Analista Datos Cuadro Comparativo 01 Cuadro Comparativo 02 Boto3 Data Pipelines - Intermediate to Advanced Questions Intermediate to Advanced NumPy Questions for Data Pipelines PySpark Intermediate to Advanced Questions and Answers
06DOT_NET All questions (1011) — .NET 8+, C# and REST APIs C# Beginner Intermediate (async, ASP.NET Core, REST) Advanced (EF Core, performance, distributed) Building blocks (14 recipes) WINFORMS_NET_MIGRATION NET_TECHNOLOGIES (Full Stack .NET 8 + Angular)
08ANGULAR Angular Beginner Angular Intermediate Angular Advanced Reusable components, services & pipes All questions (1011) Angular en castellano — 1.120 preguntas y respuestas
10REACT React Beginner Questions React Intermediate Questions React Advanced Questions All questions (250)
11GRAPHQL All questions (1011) — schema, execution, federation Beginner (schema, queries, resolvers) Intermediate (design, caching, security) Advanced (perf, federation, ecosystem) Recipes (14)
13KAFKA All questions (644) — in one searchable page Beginner (210) Intermediate (210) Advanced (210) Recipes (14)
22MACHINE LEARNING CONCEPTOS Machine Learning Models Machine Learning Libraries Classification Clustering Regression Anomaly Detection MODELOS (MLM) ARIMA AdaBoost Anomaly Detection Models Autoencoders Bayesian Networks Boltzmann Machines Conditional Random Fields Decision Trees Elastic Net Ensemble Clustering Ensemble Methods GMM (Gaussian Mixture Models) Gaussian Processes Genetic Algorithms Gradient Boosting Models HMM (Hidden Markov Models) Isolation Forest KNN (K-Nearest Neighbors) LDA (Latent Dirichlet Allocation) LSTM Linear Regression Locally Linear Embedding Logistic Regression Long-Short Term Memory MCMC (Markov Chain Monte Carlo) Naive Bayes Neural Networks & Deep Learning Principal Component Analysis (PCA) Quantum Machine Learning RNN (Recurrent Neural Networks) Random Forest Reinforcement Learning Ridge Regression SGD (Stochastic Gradient Descent) SOM (Self-Organizing Maps) SVM (Support Vector Machines) Self Attention Mechanism Stacking Word2Vec XGBoost t-SNE (t-Distributed Stochastic Neighbor Embedding)
33SOFTWARE ARCHITECTURE PRINCIPLES CORE PRINCIPLES Separation of Concerns (SoC) High Cohesion (cohesion levels, the "and" test) Loose Coupling (coupling types, ports & DI, events) How the three balance each other Measuring them (Ca, Ce, instability, LCOM) Review checklist Smells and anti-patterns
34GENERATIVE AI FOUNDATIONS & PRODUCTION What it is, and what it is not The transformer in one page (attention, softmax) Grounding with retrieval (RAG) Evaluation: what to measure Failure modes and mitigations Production checklist
35AGENTIC AI AUTONOMY, TOOLS & CONTROL The loop (ReAct, budgets, exit) Orchestration patterns Designing tools the model can use Why long tasks fail (pⁿ decay) Guardrails and authority Production checklist
36MODEL CONTEXT PROTOCOL (MCP) OPEN STANDARD · REVISION 2026-07-28 Host, client, server Primitives: tools, resources, prompts The stateless lifecycle Authorization (OAuth 2.1, resource indicators) Security model and tool poisoning Migrating from 2025-11-25 Review checklist
37DATA ACCESS: EF CORE & DAPPER ORM · MICRO-ORM · MIGRATIONS The four families of data access EF Core: model, tracking, real costs What EF Core 10 changed Dapper: SQL you own NHibernate, linq2db, Marten, RepoDB Side-by-side comparison Decision guide and review checklist
38MONGODB DOCUMENT DATABASE · 8.x – 9.0 All questions (1120) — in one searchable page Beginner (300) Intermediate (380) Advanced (426) Recipes (14)