Personalized assessment

How ready are you for MLA-C02?

Score nine capability areas, choose your target date and language, and get a transparent recommendation with estimated gap hours and a sequenced study plan.

Beta registrationOpen now

Beta deliverySep 29, 2026

Beta format85 questions · 170 min

Beta price$75 USD

Rule-based diagnostic

Get your recommendation.

Tell us what you have already studied. The result uses the published exam dates, domain weights, and topic changes—no account or AI call required.

Private by design. Your answers stay in this browser.

Assessment0 / 13 inputs

Target exam date Exam language Study time / week MLA-C01 preparation completed 40%

Rate your current confidence

0 = not started · 1 = aware · 2 = practiced · 3 = production confidence

Data preparationIngestion, quality, transformation, feature engineeringSageMaker AITraining, tuning, evaluation, model registryAmazon BedrockModel selection, customization, evaluation, guardrailsFoundation modelsLLMs, fine-tuning, optimization, responsible useRAG systemsKnowledge bases, retrieval, reranking, refresh cyclesAgentic AIAgents, tools, state, orchestration, observabilityMLOps & deploymentEndpoints, CI/CD, automation, containers, scalingMonitoring & securityDrift, telemetry, IAM, encryption, cost controlsResponsible AIBias, explainability, safety, governance controls

Independent estimate—not an AWS score or guarantee. Exam facts last checked September 15, 2026.

How it works

A visible rules engine—not a mystery score.

Decision gate

Exam date, language, C01 progress, and traditional ML confidence determine whether C01 is still realistic.

Weighted readiness

Your skills map into the four official C02 domains at 28%, 24%, 24%, and 24%.

Gap estimate

Lower-confidence skills receive more study hours. Your weekly availability turns the gap into a plan.

Important: MLAReady is an independent planning aid. AWS does not publish a conversion formula from self-rated skills to exam readiness.