Exam Overview¶
This section provides essential information about the AWS Certified Machine Learning Engineer Associate (MLA-C01) exam.
Target Candidate¶
The target candidate should have at least 1 year of experience using Amazon SageMaker and other AWS services for ML engineering. Background in backend software development, DevOps, data engineering, or data science is recommended.
Exam Format¶
| Attribute | Details |
|---|---|
| Duration | 170 minutes |
| Total Questions | 65 |
| Scored Questions | 50 |
| Unscored Questions | 15 (not identified) |
| Passing Score | 720/1000 |
Question Types¶
- Multiple Choice - One correct answer from four options
- Multiple Response - Two or more correct answers from five or more options
- Ordering - Arrange 3-5 responses in correct order
- Matching - Match responses to 3-7 prompts
No Penalty for Guessing
Unanswered questions are scored as incorrect. There is no penalty for guessing, so always provide an answer.
Content Domains¶
See Exam Domains for detailed breakdown of each domain.
In-Scope Services¶
See In-Scope AWS Services for the complete list of AWS services covered in the exam.