AWS Certified Machine Learning Engineer Associate (MLA-C01)¶
Welcome to the study notes and hands-on labs for the AWS Certified Machine Learning Engineer Associate exam.
Exam Overview¶
| Attribute | Details |
|---|---|
| Exam Code | MLA-C01 |
| Duration | 170 minutes |
| Questions | 65 (50 scored + 15 unscored) |
| Passing Score | 720/1000 |
| Question Types | Multiple choice, Multiple response, Ordering, Matching |
| Cost | $150 USD |
Content Domains¶
| Domain | Weight | Description |
|---|---|---|
| Domain 1 | 28% | Data Preparation for Machine Learning |
| Domain 2 | 26% | ML Model Development |
| Domain 3 | 22% | Deployment and Orchestration of ML Workflows |
| Domain 4 | 24% | ML Solution Monitoring, Maintenance, and Security |
Quick Navigation¶
By Domain¶
- Domain 1: Data Preparation - Ingest, transform, validate, and prepare data
- Domain 2: Model Development - Training, tuning, evaluation, versioning
- Domain 3: Deployment & Orchestration - Endpoints, pipelines, CI/CD
- Domain 4: Monitoring & Security - Monitoring, cost, security, compliance
Resources¶
Study Tips¶
!!! tip "Recommended Study Order" 1. Review the exam domains and understand the weightings 2. Study each domain systematically 3. Complete hands-on labs to reinforce concepts 4. Take practice exams to identify weak areas 5. Review cheat sheets before the exam
!!! warning "Key Focus Areas" - Amazon SageMaker is the core service - understand it deeply - Know when to use each SageMaker endpoint type - Understand MLOps concepts with SageMaker Pipelines - Security best practices (IAM, KMS, VPC)