MLA-C01
AWS ML Engineer Exam Prep
Comprehensive practice questions and study materials from LearnZapp. Build confidence with adaptive learning and domain-specific analytics.
MLA-C01
Comprehensive practice questions and study materials from LearnZapp. Build confidence with adaptive learning and domain-specific analytics.
Exam Domains
Master every domain to maximize your exam score
Ingesting, transforming, validating, and engineering features for ML datasets
Selecting algorithms, training, tuning, and evaluating machine-learning models
Deploying models, building pipelines, and orchestrating ML workflows on AWS
Monitoring drift and performance, retraining, and securing ML solutions
Pricing
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6 certifications included
FAQ
Everything you need to know before getting started.
AWS Certified Machine Learning Engineer – Associate (MLA-C01) validates the ability to build, deploy, and operate machine-learning solutions and pipelines on AWS — an associate-level, hands-on ML engineering credential.
The exam has 85 questions and a 170-minute time limit. It uses multiple-choice, multiple-response, ordering, matching, and case-study formats, and is scored 100–1,000 with a passing score of 720.
MLA-C01 covers data preparation for machine learning (28%), ML model development (26%), deployment and orchestration of ML workflows (22%), and ML solution monitoring, maintenance, and security (24%).
AWS recommends at least one year of experience using Amazon SageMaker and other ML engineering services. Familiarity with the AWS AI Practitioner material is a helpful foundation.
The MLA-C01 exam fee is $150 USD. The certification is valid for three years.
Your $150 exam fee deserves the best preparation.
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