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AWS Certified Machine Learning – Specialty (MLS-C01) Exam Description

The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.

Exam Details

Format: Multiple choice, multiple answer
Type: Specialty
Delivery Method: Testing center or online proctored exam
Number of Questions: 65
Passing Score: 750/1000
Time: 180 minutes to complete the exam
Cost: 300 USD (Practice exam: 40 USD)
Language: Available in English, Japanese, Korean, and Simplified Chinese

Abilities Validated by the Certification

Select and justify the appropriate ML approach for a given business problem.
Identify appropriate AWS services to implement ML solutions.
Design and implement scalable, cost-optimized, reliable, and secure ML solutions.

Content Outline

Domain 1: Data Engineering

1.1 Create data repositories for machine learning.
1.2 Identify and implement a data-ingestion solution.
1.3 Identify and implement a data-transformation solution.

Domain 2: Exploratory Data Analysis

2.1 Sanitize and prepare data for modeling.
2.2 Perform feature engineering.
2.3 Analyze and visualize data for machine learning.

Domain 3: Modeling

3.1 Frame business problems as machine learning problems.
3.2 Select the appropriate model(s) for a given machine learning problem.
3.3 Train machine learning models.
3.4 Perform hyperparameter optimization.
3.5 Evaluate machine learning models.

Domain 4: Machine Learning Implementation and Operations

4.1 Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
4.2 Recommend and implement the appropriate machine learning services and features for a given problem.
4.3 Apply basic AWS security practices to machine learning solutions.
4.4 Deploy and operationalize machine learning solutions.