AWS MLA
AWS Certified Machine Learning Engineer — Associate (MLA-C01)
The AWS Certified Machine Learning Engineer – Associate (MLA-C01) validates the ability to build, train, tune, deploy, and monitor ML models on AWS using Amazon SageMaker. It covers the full ML lifecycle from data preparation through production monitoring, including MLOps best practices. MLA-C01 bridges the gap between data science and production engineering for ML workloads on AWS.
AWS MLA Exam Overview
| Detail | Information |
|---|---|
| Full Name | AWS Certified Machine Learning Engineer — Associate (MLA-C01) |
| Governing Body | AWS |
| Number of Questions | 65 |
| Time Limit | 130 minutes |
| Passing Score | 700/1000 (scaled) |
| Exam Fee | $150 USD |
| Category | IT Certifications |
| C3RT App Available On | iPhone, iPad, and Mac |
| Official Source | AWS official website ↗ |
AWS MLA Content Areas and Domains
| Domain / Content Area | Exam Weight |
|---|---|
| Data Preparation for ML | 28% |
| ML Model Development | 26% |
| Deployment and Orchestration of ML Workflows | 22% |
| ML Solution Monitoring, Maintenance, and Security | 24% |
Domain weights are approximate and based on the AWS content outline. Always verify at the official source before your exam.
Topics Covered
- ✓ Data Ingestion and Transformation for ML (Glue, S3, Kinesis)
- ✓ Feature Engineering and Feature Store with SageMaker
- ✓ Model Training and Hyperparameter Tuning on SageMaker
- ✓ Model Evaluation, Bias Detection, and Explainability (Clarify)
- ✓ MLOps Pipelines with SageMaker Pipelines and Model Registry
- ✓ Model Deployment (real-time endpoints, batch transform, serverless)
- ✓ Model Monitoring and Drift Detection
How C3RT Helps You Pass the AWS MLA
Adaptive Practice
Questions adapt to your weak areas automatically so every study session on the AWS MLA is time well spent.
Diagnostic Mocks
Full-length mock exams timed to the real AWS MLA format with detailed score breakdowns by topic.
Mistake Bank
Every wrong answer is saved for targeted re-drill. The system resurfaces your mistakes until they stick.
Native on iOS & Mac
Built with SwiftUI, not a web wrapper. Instant load, offline support, hardware-speed rendering.
AWS MLA Frequently Asked Questions
What does AWS MLA stand for?
AWS MLA stands for AWS Certified Machine Learning Engineer — Associate (MLA-C01). It is administered by AWS.
Who administers the AWS MLA?
The AWS Certified Machine Learning Engineer — Associate (MLA-C01) (AWS MLA) is administered by AWS. For official information, visit the AWS website.
How many questions is the AWS MLA?
The AWS MLA consists of 65 questions. Candidates are given 130 minutes to complete the exam.
What is the passing score for the AWS MLA?
The passing score for the AWS MLA is 700/1000 (scaled), as set by AWS. Scoring methodology and passing standards may be updated periodically. Always verify current requirements with the governing body.
How much does the AWS MLA exam cost?
The AWS MLA exam fee is $150 USD. This fee is set by AWS and may vary by testing centre, region, or membership status. Additional fees for registration or rescheduling may apply.
Is AWS MLA-C01 harder than the Machine Learning Specialty?
MLA-C01 is an associate-level exam, making it more accessible than the ML Specialty (MLS-C01). MLA-C01 focuses on the engineering and deployment aspects of ML using SageMaker, while MLS-C01 goes deeper into ML algorithms, mathematics, and model selection theory.
What AWS services are most important for MLA-C01?
Amazon SageMaker is the core service — including SageMaker Studio, Pipelines, Feature Store, Model Registry, Clarify, and Model Monitor. You should also know S3, Glue, Kinesis, and IAM roles in the context of ML pipelines. EC2 instance types for training and endpoints are also tested.
Do I need a machine learning background for AWS MLA-C01?
A basic understanding of ML concepts (supervised/unsupervised learning, model evaluation metrics, overfitting) is expected. The exam focuses more on AWS-specific implementation than ML theory, but you should understand when to use different SageMaker built-in algorithms and how to evaluate model performance.
What is the exam format for AWS MLA-C01?
65 questions in 130 minutes, with a passing score of 700/1000. Questions are scenario-based, typically presenting a ML engineering challenge and asking you to select the most appropriate SageMaker feature or AWS service combination.
C3RT is a native iOS and macOS exam preparation platform covering the AWS Certified Machine Learning Engineer — Associate (MLA-C01) (AWS MLA), a IT Certifications certification, administered by AWS. C3RT is not affiliated with or endorsed by AWS. Certification names and trademarks are the property of their respective organisations. For official exam registration, eligibility requirements, and content outlines, visit the AWS official website ↗ .