AWS Certified Machine Learning - Specialty practice exam
Review the retired MLS-C01 syllabus with independently written practice questions covering data engineering, exploratory data analysis, modeling, and machine learning implementation and operations.Important: March 31, 2026 was the final date candidates could take this examination. This practice exam is intended for legacy syllabus review, professional knowledge refreshment, and maintaining related AWS machine learning skills.
Last updated: 03-09-2026
Practice the former MLS-C01 exam domains with focus
Learning mode supports focused study by showing feedback and an explanation after each practice question. It is useful when reviewing unfamiliar concepts or correcting misunderstandings immediately. Exam mode withholds interim feedback until the session is complete. This creates a more realistic practice rhythm, especially when combined with a timer and a longer mixed question set. Both approaches serve different purposes. Alternate between them to develop technical understanding and sustained decision-making.
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Who this practice exam is for
This practice exam is designed for professionals reviewing the retired MLS-C01 blueprint or strengthening AWS machine learning knowledge related to the former certification scope.
Who this is for
- AI and machine learning developers reviewing AWS-based machine learning workflows
- Data scientists practicing scenario-based decisions across the former MLS-C01 domains
- Existing certification holders refreshing knowledge while their credential remains active
- Professionals comparing their legacy MLS-C01 knowledge with current AWS certification paths
- Candidates who previously studied for MLS-C01 and want structured knowledge review
Requirements
- AWS described the target candidate as having at least two years of experience developing, architecting, and running machine learning or deep learning workloads in the AWS Cloud.
- No prerequisite AWS certification was required for MLS-C01.
- The recommended experience profile was guidance for the target candidate, not a mandatory eligibility rule.
Topics covered in the former MLS-C01 blueprint
The practice exam follows the four scored domains published in the official archived exam guide. The percentages indicate their former share of scored examination content.
Former AWS Machine Learning Specialty exam information
The details below describe the retired MLS-C01 examination. They are provided for historical context and realistic practice planning, not for current registration.
- Official examination name: AWS Certified Machine Learning - Specialty
- Examination code: MLS-C01
- Status: retired after the final testing date of March 31, 2026
- Question count: 65
- Scored questions: 50
- Unscored questions: 15
- Question formats: multiple choice and multiple response
- Time limit: 180 minutes
- Score range: 100 to 1,000
- Minimum passing scaled score: 750
- Scoring method: compensatory scoring across the examination
- Former listed price: 300 USD before applicable taxes and local currency adjustments
How to use the practice exam effectively
Start by identifying which of the four domains needs the most attention. Modeling represented the largest share of scored content, but the examination used compensatory scoring, so balanced preparation across all domains remained important.
Use learning mode when you want immediate feedback and an explanation after each question. Switch to exam mode when you want to complete a session without interim feedback, optionally use a timer, and review your result and explanations at the end.
- Begin with a mixed set of practice questions to establish a baseline across all four domains.
- Review performance by topic and spend more time on weaker areas.
- Practice modeling decisions while also maintaining coverage of data engineering, exploratory analysis, and operations.
- Use shorter learning-mode sessions for focused review and longer exam-mode sessions for sustained concentration.
- Repeat practice with a changing question mix so that improvement depends on understanding rather than memorizing order.
- Review every explanation, including questions answered correctly, to confirm the reasoning behind the answer.
- Do not convert the former 750 scaled passing score into a fixed percentage of correct answers because AWS did not publish a direct conversion.
Common preparation mistakes
A useful legacy review should reflect the published blueprint without creating false expectations about the retired examination.
- Assuming MLS-C01 is still available for registration
- Focusing only on Modeling and neglecting the other three scored domains
- Treating the recommended two years of experience as a formal prerequisite
- Assuming a scaled score of 750 equals a fixed raw percentage
- Memorizing answers without reviewing the technical reasoning
- Using only immediate feedback instead of also practicing sustained exam-mode sessions
- Treating archived AWS service names or behavior as automatically current
- Believing practice questions are real or recalled AWS examination questions
Learning mode or exam mode
Learning mode supports focused study by showing feedback and an explanation after each practice question. It is useful when reviewing unfamiliar concepts or correcting misunderstandings immediately.
Exam mode withholds interim feedback until the session is complete. This creates a more realistic practice rhythm, especially when combined with a timer and a longer mixed question set.
Both approaches serve different purposes. Alternate between them to develop technical understanding and sustained decision-making.
Official AWS Machine Learning Specialty resources
Use the archived official certification page and exam guide to verify the former examination status, format, domains, and task statements. Because the examination is retired, confirm current AWS service information in current AWS documentation before relying on technical details for production decisions.
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Bekijk de antwoorden op veelgestelde questions over het exam en onze practice exams.
Is the AWS Certified Machine Learning - Specialty exam still available?
No. March 31, 2026 was the final date candidates could take MLS-C01. New appointments and exam attempts are no longer available.
What does this free practice exam cover?
It covers the four former scored domains: Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. The practice questions are independently written for legacy syllabus review.
What was the MLS-C01 exam format?
The examination included 65 multiple-choice or multiple-response questions and allowed 180 minutes. Of the 65 questions, 50 were scored and 15 were unscored.
What was the passing score for MLS-C01?
The minimum passing scaled score was 750 on a scale from 100 to 1,000. AWS did not publish a fixed percentage of correct answers that guaranteed a passing result.
Did MLS-C01 require another AWS certification first?
No prerequisite AWS certification was required. AWS described prior experience and related certifications as useful preparation rather than mandatory eligibility requirements.
Can an existing AWS Machine Learning Specialty certification still be valid?
Yes. A certification earned before retirement remains active for three years from the date it was earned, although recertification through MLS-C01 is no longer available.
Are the ExamDone practice questions actual AWS exam questions?
No. ExamDone practice questions are independently written and are not official, live, recalled, or disclosed AWS examination questions.
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