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MLA-C02Machine Learning Engineer – Associate

AWS Certified Machine Learning Engineer - Associate

AssociateRevised version (MLA-C02) in betaIntermediate (building and operating both traditional ML and foundation models in production with SageMaker AI and Bedrock)80–150 hours (rough estimate by this site; assumes AIF-C01-level knowledge)

For people who handle everything on AWS from data preparation, model training and evaluation, to deployment and CI/CD, monitoring, cost and security. Suits those who, after AIF-C01, want the skills to actually build and operate ML and generative AI systems.

MLA-C02 is currently a beta exam (English only). Until MLA-C02 becomes generally available (GA), the exam you can take in Japanese is the current MLA-C01. The English version of MLA-C01 ended on 2026-09-28 (checked 2026-10-04).

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1StudyRead the key points of 4 domainsStart studying →2Practice301 questions, one at a time, with instant answers and explanationsPractice →3Mock exam65 questions · 130 min, scored by domainMock exam →

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Original question bank: 301 questions (multiple choice 15, ordering 11, minimal pairs 160, case studies 3 with 12 questions). Mock exam: 65 questions · 130 min. Matches the MLA-C02 exam guide's question count (65 questions, 15 of which are unscored). Because the GA exam duration has not been announced, it is set to 130 minutes, the same as the current MLA-C01 (the beta is 85 questions, 170 minutes).

Exam basics (checked 2026-10-04)

Certification
AWS Certified Machine Learning Engineer - Associate
Exam
AWS Certified Machine Learning Engineer - Associate (MLA-C02)
Level
Associate
Role
ML engineers, MLOps staff, data engineers and backend developers (official: assumes at least 1 year of ML engineering experience with SageMaker AI, Bedrock and similar, plus at least 1 year in a related role; experience with both traditional ML and generative AI)
Duration
Beta: 170 minutes (per official page). GA exam duration not yet announced
Format
Exam guide: 65 questions (50 scored + 15 unscored). Multiple choice and multiple response (per official page). The beta has 85 questions
Passing
Scaled score of 720 or higher (scale of 100–1,000; per official exam guide, noted as not applicable to the beta)
Cost
Beta: 75 USD (beta price, per official page). Current MLA-C01: 150 USD
Languages
MLA-C02 beta is English only. Japanese planned at GA (per official page)
Prerequisites
No prerequisite certification. The exam guide assumes “at least 1 year of ML engineering experience with SageMaker AI, Bedrock and similar” and “at least 1 year in a related role.”

Official page (checked 2026-10-04): MLA-C02 beta registration opened 2026-09-01 and beta delivery began 2026-09-29; GA registration and delivery dates are not yet announced. The beta is English only, 170 minutes, 85 questions, 75 USD (beta price). Japanese, Korean and Simplified Chinese will be offered at GA. The current MLA-C01 (130 minutes, 65 questions, 150 USD) remains available in Japanese, Korean and Simplified Chinese until MLA-C02 GA. The questions and scope on this page are based on the published MLA-C02 exam guide (including generative AI, RAG and agent topics not in MLA-C01).

Reference links (checked 2026-10-04)

Facts on this page (names, exam codes, domains, weights, duration, passing score) are based on the public pages above and may change.

Notes (unofficial, original questions, no pass guarantee)