AWS Certified Machine Learning - Specialty (MLS-C01) Exam

About this course

FULLY UPDATED 2026 for the AWS Certified Machine Learning – Specialty (MLS-C01) exam version!Welcome to the AWS Certified Machine Learning – Specialty (MLS-C01) Certification Practice Exam Tests from xDigest and partners.This practice test set is built to help you know you’re ready for the MLS-C01 exam—not just hope. Every question is written in an exam-style, scenario-based format that reflects real machine learning work on Amazon Web Services: designing data pipelines, preparing and analyzing datasets, selecting and tuning models, deploying solutions with Amazon SageMaker, and operating ML systems with monitoring, automation, and reliability in mind.Each test is timed, so you can train your pacing and build exam stamina. At the end of every test, you’ll get a breakdown of what you got right and wrong—so you can focus your study on the exact domains where you need improvement before exam day.In this practice test set, we cover all MLS-C01 domains:Domain 1: Data EngineeringPractice how to design ML-ready data pipelines on AWS. You’ll work through scenarios that test ingestion choices, storage and processing decisions, transformation workflows, feature preparation, and selecting AWS services that support scalable training and inference.Domain 2: Exploratory Data AnalysisStrengthen your ability to understand data before modeling. You’ll practice identifying data quality issues, handling imbalance, detecting leakage risks, choosing appropriate transformations, and selecting the best next step when the dataset doesn’t behave as expected.Domain 3: ModelingThis is the heart of the exam—and the course. You’ll practice choosing algorithms, selecting evaluation metrics, tuning hyperparameters, improving generalization, and making trade-offs across accuracy, latency, cost, and interpretability using exam-style ML scenarios.Domain 4: Mac