AWS ML Engineer Associate MLA-C01 Practice Exams

Ready to prepare for and pass the AWS Certified Machine Learning Engineer - Associate (MLA-C01) credential? These six full-length, timed practice exams put you in the seat before exam day, with 360 scenario-based questions that mirror how AWS actually tests ML engineers operating real workloads on the AWS Cloud.

Every question is set in a realistic situation: an ML engineer wiring up a training pipeline, an MLOps engineer choosing a deployment strategy for a real-time inference endpoint, a data engineer fixing a drifting batch scoring job. You pick the best AWS approach under a concrete constraint such as cost, latency, scalability, or compliance, then read a detailed explanation that traces back to AWS documentation. This is how you build exam-day judgment, not just memory.

What makes these practice tests different

• Built to the official MLA-C01 blueprint and weighted to match it. Every exam follows the four AWS content domains at their real weights: 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%).

• Scenario-first questions, not trivia. No "what is service X" filler. Each item forces a real engineering decision across services like Amazon SageMaker AI, AWS Glue, Amazon S3, Amazon Kinesis, AWS Lambda, Amazon ECR, AWS CodePipeline, Amazon CloudWatch, and AWS IAM.

• Detailed explanations on every question. You learn why the correct answer wins and why each distractor fails, with reasoning grounded in AWS service behavior.

• 6 timed exams, 60 questions each, 360 unique questions total. Each test runs on a 120-minute timer so you practice pacing under realistic time pressure.

• Current-name accurate. Reflects the move to "Amazon SageMaker AI" branding and excludes the retired 2016-era Amazon Machine Learning service so you never study outdated material.

About the exam

The AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam contains 65 questions, of which 50 are scored and 15 are unscored. You have 130 minutes to complete it. The exam uses multiple choice and multiple response questions, and AWS also lists ordering and matching question types. It is delivered at a Pearson VUE testing center or via online proctoring, and is offered in English, Japanese, Korean, and Simplified Chinese. The registration cost is 150 USD.

Scoring is scaled, not a fixed percentage. AWS reports a scaled score from 100 to 1000, and the passing score is 720. Scoring is compensatory, which means you pass on your overall performance with no minimum required per individual domain. Because Udemy practice tests require a percentage threshold, these tests are set to 72% as a defensible practice approximation of the 720/1000 standard. Use it as a readiness signal, and remember the live exam is scaled-scored.

The target candidate has at least one year of experience using Amazon SageMaker and other AWS services for ML engineering, plus at least one year in a related role such as backend software developer, DevOps developer, data engineer, or data scientist.

Sharpen your timing, expose your weak domains, and walk into the testing center confident. Start your first practice exam now.