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Everything needed to plan for the AWS Machine Learning Specialty (MLS-C01) exam: number of questions, time limit, passing score, and the official domain weightings. For the domain checklist, see the MLS-C01 study guide. For a week-by-week plan, see the MLS-C01 study plan.
Facts last checked . Vendor links for this exam are on the materials page. To correct a figure, use the corrections policy.
AWS Machine Learning Specialty (MLS-C01) is a Professional level AWS certification exam with 65 questions in 180 minutes (last checked 2026-10-19), requiring a scaled score of 750 to pass. It covers 4 domains: Modeling (36%); Exploratory Data Analysis (24%); Data Engineering (20%); ML Implementation and Operations (20%).
Exam code
MLS-C01
Questions
65
Time limit
180 min
Passing score
750 scaled
Official domains
4
Level
Professional
Provider
AWS
Practice questions
300+ on CertStud
| Domain | Weight | What it covers |
|---|---|---|
| Modeling | 36% | Frame ML problems, train models, perform hyperparameter tuning |
| Exploratory Data Analysis | 24% | Sanitize and prepare data for modeling, perform feature engineering |
| Data Engineering | 20% | Create data repositories and ingest, transform data for ML |
| ML Implementation and Operations | 20% | Deploy and operationalize ML solutions, monitor performance |
Percentages reflect published official domain weightings. Prerequisite knowledge and current scoring rules are confirmed on the AWS exam page before booking.
The MLS-C01 figure on file is 65 questions. Last checked 2026-10-19. Confirm the current figure with AWS before you book.
The MLS-C01 time limit on file is 180 minutes. Last checked 2026-10-19. Confirm the current figure with AWS before you book.
The MLS-C01 exam requires a scaled score of 750 to pass. A scaled score is not a raw percentage of correct answers. Last checked 2026-10-19. Confirm the current figure with AWS before you book.
The MLS-C01 exam covers 4 official domains: Data Engineering (20%), Exploratory Data Analysis (24%), Modeling (36%), ML Implementation and Operations (20%).
Modeling carries the heaviest weighting on the MLS-C01 exam at 36% of the exam. Frame ML problems, train models, perform hyperparameter tuning
MLS-C01 is the exam code for AWS Machine Learning Specialty (AWS Certified Machine Learning - Specialty), a Professional level AWS certification exam covering 4 domains.
The MLS-C01 exam reports a scaled score. The passing score on file is 750. Plan for 65 questions across 180 minutes, weighted by domain: 36% Modeling, 24% Exploratory Data Analysis, 20% Data Engineering, 20% ML Implementation and Operations. Last checked 2026-10-19. Confirm the current figure with AWS before you book.
CertStud offers free MLS-C01 practice questions with detailed explanations, plus full-length practice exams and flashcards at https://certstud.com/certifications/aws/ml-specialty. Start with 10 free questions at https://certstud.com/try-free.