AWS
Machine Learning Specialty
Design, implement, deploy, and maintain ML solutions on AWS using SageMaker, data engineering, and MLOps best practices.
This exam was retired on March 31, 2026
AWS retired this exam. It can no longer be scheduled or taken. Existing certifications stay valid for three years from the date they were earned. If you are choosing an AWS machine learning certification now, the ML Engineer – Associate (MLA-C01) is its successor.
Go to Machine Learning Engineer Associate (MLA-C01) →Source: aws.amazon.com/certification — exam absent from the AWS Certification exam guide index, verified 2026-08-26
Verified against the official AWS exam guide — July 6, 2026
MLS-C01
Exam code
65
Questions
180 min
Duration
75%
Pass mark
Exam domains
Frequently asked questions
How many questions are on the Machine Learning Specialty (MLS-C01) exam?
The Machine Learning Specialty (MLS-C01) exam has 65 questions and lasts 180 minutes. You need 75% to pass.
What score do you need to pass Machine Learning Specialty (MLS-C01)?
The passing score for Machine Learning Specialty (MLS-C01) is 75%. DataCertPrep's timed mock exams use the same pass mark, length, and timing as the real AWS exam.
How hard is the Machine Learning Specialty (MLS-C01) exam?
Machine Learning Specialty (MLS-C01) is a scenario-based AWS exam — it tests applied judgment, not memorization. Most candidates who consistently score above the 75% pass mark on realistic mock exams pass the real exam. DataCertPrep's readiness score is weighted by the official domain weights so you know when you're ready.
What is the best way to prepare for Machine Learning Specialty (MLS-C01)?
Work through the domain study guides, drill scenario-based practice questions until your weak domains catch up, use spaced-repetition flashcards for facts and limits, then confirm with a full-length timed mock exam. DataCertPrep includes all four for Machine Learning Specialty (MLS-C01), verified against the official AWS exam guide on 2026-07-06.
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