This page has an AWS Machine Learning practice exam. The MLS-C01 exam contains 65 multiple choice questions. The exam must be completed in 180 minutes. The questions are multiple choice so you should pick the best answer. A few questions allow more than one answer to be chosen. The answers to the questions are displayed in a pdf format once the exam is completed which you can download and keep.
The exam specification, or syllabus describes how the exam is split between four knowledge domains and further divided into sub-domains. For more information about the exam content see this article:
Each knowledge has a percentage weight and since we know the whole exam contains 65 questions we can estimate how many questions are from each domain. The exam specification does not tell us the weighting for each sub-domain so I have assumed an equal distribution of the questions. The results are shown in the table below. Each of the domain descriptions links to their accompanying category page which lists the study guides for that category.
|Domain||Description||% of exam||Questions|
|2||Exploratory Data Analysis||24||15|
|4||Machine Learning Implementation and Operations||20||13|
The domain questions can be distributed across the sub-domains equally as in the following table. Where sharing the questions between sub-domains leaves a remainder I have chosen the most important sub-domain to have the extra question. Each of the sub-domain descriptions links to their accompanying study guide.
Good luck in your exam!
Whizlab’s AWS Certified Machine Learning Specialty practice exams
Whizlab’s AWS Certified Machine Learning Specialty Practice tests are designed by experts to simulate the real exam scenario. The questions are based on the exam syllabus outlined by official documentation. These practice tests are provided to the candidates to gain more confidence in exam preparation and self-evaluate them against the exam content.
Practice test content
- Free Practice test – 15 questions
- Practice test 1 – 65 questions
- Practice test 2 – 65 questions
- Practice test 3 – 65 questions
Section test content
- Core ML Concepts – 10 questions
- Data Engineering – 11 questions
- Exploratory Data Analysis – 13 questions
- Modeling – 15 questions
- Machine Learning Implementation and Operations – 12 questions