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About AWS Machine Learning Exam

Prepare for AWS Certified Machine Learning Engineer - Associate (MLA-C01) with focused practice for building, deploying, monitoring, and maintaining machine learning solutions on AWS. AWS Machine Learning Exam includes 30 practice exam sets and 1,950 original one-best-answer questions. Each 65-question set helps you practice data preparation, model development, deployment, orchestration, monitoring, maintenance, and ML security. WHAT YOU'LL PRACTICE: • Data ingestion, preparation, transformation, and feature engineering • Machine learning model development and evaluation • Model deployment, orchestration, and production workflows • Monitoring, maintenance, governance, and troubleshooting • Security and access controls for machine learning workloads STUDY AND REVIEW: • Work through machine learning scenario questions • See correct and incorrect results immediately after answering • Review clear explanations after answering • Save useful questions and revisit them later • Continue from your latest study position • Set optional study reminders UNDERSTAND YOUR RESULTS: • View progress across all 30 exam sets • Open detailed reports for completed attempts • Filter question results by correct, incorrect, unanswered, or saved status • Return directly to individual questions from a report • Retake an exam when you are ready to try again Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

What’s new

Version 15.1.0 · Updated October 14, 2026

This version introduces a completely refreshed study experience. Navigate questions more easily, save questions for later, review explanations, explore detailed results with filters, retake exams, and set study reminders.

App privacy

The developer, Koray Salman, reported these privacy practices to Apple.

Data Used to Track You

The following data may be used to track you across apps and websites owned by other companies:

  • Usage Data: Advertising Data

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Location: Coarse Location
  • Usage Data: Advertising Data, Product Interaction

Used for: Third-Party Advertising, Analytics

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