AWS Certified Machine Learning Engineer (MLA-C01) ® 2026
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⚡ Quick Facts
Quick Answer: The AWS MLA-C01 (Machine Learning Engineer Associate) costs $300, has 65 questions, 130-minute duration, pass score 720/1000. Covers ML solution design, data prep, model development, and deployment on AWS. ExamCert has 500+ practice questions.
AWS ML Engineer Associate (MLA-C01) Exam Domains
85 questions in 170 minutes. Passing score: 720/1000. Exam fee: $150 USD.
Data Preparation
Data ingestion, transformation, feature engineering, data validation
ML Model Development
Model selection, training, hyperparameter tuning, evaluation metrics
Deployment & Orchestration
Model deployment, endpoints, pipelines, A/B testing
Monitoring & Operations
Model monitoring, drift detection, logging, troubleshooting
AWS ML Engineer Associate (MLA-C01) Study Materials
Master AWS ML services and MLOps practices for production ML systems.
600+ ML-Focused Questions
Covering SageMaker, ML pipelines, model deployment, and MLOps best practices
Practical Explanations
Real-world ML scenarios with code examples and architecture diagrams
Weekly Updates
New questions added weekly based on latest AWS ML services and exam patterns
How to Prepare for AWS MLA-C01
Follow our proven study strategy used by thousands of successful candidates
What's Included
- ✓1200+ exam-style practice questions
- ✓20 complete practice sets
- ✓Free comprehensive study guide
- ✓Detailed explanations for every question
- ✓Weekly question updates
- ✓Progress tracking & weak area analysis
Study Tips from Top Scorers
- 1.Score 85%+ consistently on practice tests before booking your exam
- 2.Review explanations for BOTH correct and wrong answers
- 3.Use the Study Guide for quick revision 2-3 days before exam day
- 4.Focus extra time on domains where your scores are lowest
- 5.Take timed practice sets to build exam-day stamina
Key AWS Services Covered
Amazon SageMaker
Full ML lifecycle management
SageMaker Pipelines
ML workflow orchestration
SageMaker Feature Store
Feature management
SageMaker Model Registry
Model versioning & deployment
AWS Glue
Data preparation & ETL
Amazon EMR
Big data processing
Amazon Bedrock
Foundation models
CloudWatch
ML monitoring & logging
Who Is the AWS MLA-C01 Exam For?
Target Audience
This exam is for ML engineers who build, deploy, and maintain machine learning solutions on AWS. Ideal for professionals working with SageMaker, feature engineering, and ML pipelines.
Recommended Prerequisites
- •1+ year of experience building ML solutions on AWS
- •Proficiency with Amazon SageMaker and ML model lifecycle management
- •Understanding of data preprocessing, feature engineering, and model evaluation
- •Experience with ML deployment patterns and MLOps practices on AWS
Official Exam Details
Format: Multiple choice & multi-select
People Also Ask About AWS MLA-C01
Quick answers to the most common questions
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What Our Users Say About AWS MLA-C01
"SageMaker questions covered everything from training to deployment. The explanations helped me understand model optimization deeply. Passed with 860!"
"Great coverage of feature engineering and model evaluation metrics. The practice sets match the real exam difficulty perfectly."
"MLOps pipeline questions were incredibly relevant. This was the best preparation I could have asked for."
"Comprehensive coverage of ML algorithms, hyperparameter tuning, and deployment strategies. Well worth the investment."
"The data preprocessing and feature store questions helped me fill knowledge gaps. Weekly updates kept content fresh."
"The timed practice tests built my confidence for the 170-minute exam. Scored consistently above 85% before taking the real exam."
Download AWS MLA-C01 ML Engineer Practice App
Available on Android & iOS
AWS MLA-C01 2026
- ✓3 Free Question Sets
- ✓Free Study Guide
- ✓All 4 Domains Covered
- ✓Progress Tracking
100% refund if you fail first attempt
AWS MLA-C01 ML Engineer Exam FAQ
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