AMAZON MLS-C01 PDF Exam Questions 2025

Updated:

Our MLS-C01 Exam Questions deliver authentic and up-to-date content for the AWS Certified Machine Learning – Specialty certification. Each question is validated by AWS experts and comes with accurate answers plus clear explanations to enhance your preparation. With our online exam simulator, you can practice under real exam conditions and approach your test with confidence to succeed on the first attempt.

 

About Amazon MLS-C01 Exam

What is the Amazon MLS-C01 exam, and what will you learn from it?

The Amazon MLS-C01 exam, officially titled AWS Certified Machine Learning – Specialty, is designed for professionals who develop, implement, and maintain machine learning (ML) solutions using AWS services. This certification validates your ability to select the right AWS tools and techniques for various ML problems, automate data pipelines, optimize model performance, and deploy scalable machine learning models in production environments.

By preparing for this certification, you’ll learn to apply core ML concepts such as data preprocessing, model evaluation, and hyperparameter tuning using AWS services like SageMaker, Rekognition, Comprehend, and Lex. You’ll also build expertise in securing, scaling, and monitoring ML workloads on AWS.

For the best preparation materials and realistic AWS MLS-C01 exam questions designed to help you pass with confidence, check out the expertly curated resources available at Cert Empire, a trusted platform for AWS certification success.

Exam Snapshot

Exam Detail

Description

Exam Code

MLS-C01

Exam Name

AWS Certified Machine Learning – Specialty

Vendor

Amazon Web Services (AWS)

Version / Year

Latest version – 2025

Average Salary

$135,000 – $160,000 per year (approx.)

Cost

USD $300

Exam Format

Multiple-choice, multiple-response

Duration (minutes)

180 minutes

Delivery Method

Pearson VUE testing center or online proctored exam

Languages

English, Japanese, Korean, Simplified Chinese

Scoring Method

Scaled score between 100–1,000

Passing Score

750

Prerequisites

None (recommended: 1–2 years of ML experience on AWS)

Retake Policy

14-day waiting period before retake

Target Audience

Data Scientists, ML Engineers, AI Developers

Certification Validity

3 years

Release Date

Original release: 2018 (Updated: 2024)

Prerequisites before taking the MLS-C01 exam

Although the exam doesn’t require any prior certification, AWS recommends:

  • At least one year of hands-on experience building or deploying ML models on AWS.
  • Understanding of basic ML algorithms, including regression, classification, and clustering.
  • Familiarity with Python programming and AWS services like S3, IAM, and SageMaker.
  • Knowledge of data preprocessing and feature engineering workflows.

Having this background ensures you’re prepared to grasp advanced AWS ML concepts effectively.

Main objectives and domains you will study for MLS-C01

The MLS-C01 exam evaluates your skills across four core domains that cover the entire ML lifecycle, from data preparation to model deployment.

Topics to cover in each MLS-C01 exam domain

  1. Data Engineering (20%)

    • Data collection, cleaning, transformation, and storage on AWS
    • Building secure and efficient data pipelines using AWS Glue, Kinesis, and S3

  2. Exploratory Data Analysis (24%)

    • Feature selection, scaling, and dimensionality reduction
    • Identifying patterns and correlations using visualization tools and AWS analytics services

  3. Modeling (36%)

    • Model selection, training, and tuning in Amazon SageMaker
    • Hyperparameter optimization, validation, and performance metrics
    • Working with pre-trained models and custom algorithms

  4. Machine Learning Implementation and Operations (20%)

    • Model deployment with SageMaker Endpoints
    • Automating ML pipelines with AWS Step Functions and Lambda
    • Monitoring, retraining, and managing model drift

Changes in the latest version of MLS-C01

The 2024–2025 update introduces new topics reflecting AWS’s expanding ML ecosystem, including:

  • Amazon Bedrock and Generative AI integration.
  • Updated SageMaker Studio features for low-code/no-code development.
  • Emphasis on MLOps automation and continuous model improvement.
  • Enhanced coverage of responsible AI and data governance.

These updates make the exam more aligned with real-world enterprise ML workflows.

Register and schedule your MLS-C01 exam

You can register for the MLS-C01 exam via the AWS Certification Portal or Pearson VUE. Choose between:

  • Online proctored testing – Take the exam remotely with live supervision.
  • In-person testing – Visit a Pearson VUE testing center near you.

Select your preferred language, testing method, and date. Confirm your appointment after reviewing system requirements if testing online.

MLS-C01 exam cost, and can you get any discounts?

The AWS MLS-C01 exam costs $300 USD. Occasionally, AWS offers discount vouchers or promotions during events such as AWS re:Invent. Students or participants in AWS Academy programs might be eligible for special pricing.

For affordable preparation, explore Cert Empire’s high-quality MLS-C01 exam questions, crafted to simulate real test scenarios and improve your readiness.

Exam policies you should know before taking MLS-C01

  • Bring valid government-issued identification for verification.
  • You can reschedule or cancel up to 24 hours before your test.
  • If unsuccessful, you must wait 14 days before retaking the exam.
  • Certification validity lasts three years before renewal is required.

What can you expect on your MLS-C01 exam day?

  • Duration: 180 minutes (3 hours)
  • Format: 65 multiple-choice and multiple-response questions
  • Environment: Online or testing center proctored setup
  • Passing Score: 750 (scaled)

The questions are designed around practical, scenario-based problems. Some will test your ability to evaluate data preprocessing methods, optimize ML models, or recommend AWS services.

You can increase your confidence and accuracy by practicing with realistic exam-style MLS-C01 questions from Cert Empire, ensuring you’re familiar with both format and difficulty.

Plan your MLS-C01 study schedule effectively with 5 Study Tips

  • Tip 1: Begin by reviewing the AWS Certified Machine Learning – Specialty Exam Guide and sample questions.
  • Tip 2: Build hands-on experience with Amazon SageMaker and related AWS ML services.
  • Tip 3: Study AWS whitepapers focused on ML best practices and architecture.
  • Tip 4: Divide your study plan into weekly segments, one for each exam domain.
  • Tip 5: Test your readiness with Cert Empire’s expertly crafted MLS-C01 exam questions, which mirror real AWS scenarios.

Best study resources you can use to prepare for MLS-C01

  • AWS Skill Builder and official AWS ML learning paths
  • AWS whitepapers on ML best practices and MLOps
  • Cert Empire, offering the best and most current MLS-C01 exam questions to help you practice efficiently
  • AWS documentation for SageMaker, Kinesis, and Glue
  • Online courses on platforms like Coursera, Udemy, and A Cloud Guru
  • AWS free tier labs for hands-on ML project experience

Career opportunities you can explore after earning MLS-C01

Earning the AWS Certified Machine Learning – Specialty credential opens doors to a variety of high-impact roles, such as:

  • Machine Learning Engineer
  • Data Scientist
  • AI Solutions Architect
  • MLOps Engineer
  • Cloud AI Consultant

This certification validates your expertise in cloud-based AI solutions and helps you stand out in industries adopting AI and automation at scale.

Certifications to go for after completing MLS-C01

Once you’ve earned your MLS-C01 certification, consider advancing your AWS career with:

  • AWS Certified Data Analytics – Specialty
  • AWS Certified Solutions Architect – Professional
  • AWS Certified DevOps Engineer – Professional

These certifications complement MLS-C01 and help you broaden your skills in data-driven, automated cloud environments.

How does MLS-C01 compare to other beginner-level cloud certifications?

Unlike entry-level certifications such as AWS Certified Cloud Practitioner or Microsoft Azure AI Fundamentals (AI-900), the MLS-C01 is a specialty-level certification that focuses deeply on machine learning and AI implementation. It assumes prior knowledge of ML principles and AWS services, making it ideal for professionals who want to validate advanced, hands-on expertise.

If you’re aiming to build a strong career in AI, data science, or cloud automation, this certification is a top-tier credential to pursue.

For the most reliable and effective preparation experience, practice using the best MLS-C01 exam questions available at Cert Empire’s trusted AWS study resources, your comprehensive guide to mastering AWS certifications and achieving your cloud career goals.

 

Sale!
Total Questions330
Last Update Check November 13, 2025
Online Simulator PDF Downloads
50,000+ Students Helped So Far
$30.00 $60.00 50% off
Rated 4.9 out of 5
4.9 (10 reviews)

Instant Download & Simulator Access

Secure SSL Encrypted Checkout

100% Money Back Guarantee

What Users Are Saying:

Rated 5 out of 5

“The practice questions were spot on. Felt like I had already seen half the exam. Passed on my first try!”

Sarah J. (Verified Buyer)

Shopping Cart
Scroll to Top

FLASH OFFER

Days
Hours
Minutes
Seconds

avail $6 DISCOUNT on YOUR PURCHASE