Interview preparation
Practice for tech interviews.
Structured interview preparation for developers, data professionals, ML engineers, AI engineers, and GenAI engineers.
Roles
Choose a role path
Start with the role closest to your interview target. Roles focus on scenarios, decisions, tradeoffs, and communication.
Data Analyst
Metrics, dashboards, SQL cases, and stakeholder communication.Data Engineer
Pipelines, data quality, warehousing, and reliability scenarios.Data Scientist
Experiments, modeling choices, analysis, and product thinking.ML Engineer
Training, deployment, evaluation, monitoring, and ML system design.Generative AI Engineer
LLM apps, RAG, agents, evaluations, safety, and production design.Software Engineer
Backend design, debugging, APIs, data models, and system tradeoffs.Skills
Skill index
Topic-specific interview questions with structured explanations, examples, and follow-up prompts.
Math & Stats
StatisticsStats ProbabilityMath Quant aptitudeScreening PuzzlesLogic Linear AlgebraMathScreenings
Behavioral SkillsInterviewCloud
Cloud interview paths
Cloud-specific interview questions for data, ML, MLOps, and Generative AI roles.
AWSS3, Lambda, SageMaker, Bedrock, Glue, ECS, and production ML architecture.
AzureAzure OpenAI, AKS, Functions, ML, Synapse, and enterprise AI deployment patterns.
Google CloudBigQuery, Vertex AI, GKE, Dataflow, Pub/Sub, and scalable ML systems.
DatabricksLakehouse, Spark, Delta Lake, MLflow, feature stores, and data/ML pipelines.
SnowflakeWarehousing, Snowpark, governance, performance tuning, and analytics engineering.
Companies
Company-specific questions
Interview questions tailored to company hiring patterns, technical depth, and preferred topics.
GoogleSystem design, ML depth, search, and principled technical tradeoffs.
AmazonLeadership principles, large-scale systems, operations, and ownership.
MicrosoftCloud, APIs, product judgment, collaboration, and practical design.
MetaRanking, experiments, product impact, and metrics-driven reasoning.
OpenAILLM systems, evaluations, safety, and product judgment with strong technical depth.
AnthropicAI safety, agents, risk analysis, and reliability tradeoffs.
StripePayments, APIs, correctness, reliability, and clean abstractions.
LinkedInGraph systems, search, data platforms, recommenders, and product analytics.
Roadmap connection
Convert practice into a preparation plan
A role roadmap organizes question practice into a sequenced preparation path.