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ABN 26621887572

Certifications/AWS/AWS ML Specialty
AWS专家级🤖 AI/ML70% pass rate

AWS Certified Machine Learning - Specialty (MLS-C01)

验证您在 AWS 平台上设计、实施和维护机器学习解决方案的专家级能力。涵盖数据工程、EDA、建模和 ML 运维。

Start PracticeBrowse Learning Path
65
Questions per exam
483
Question bank total
180m
Exam Duration
750/1000
Passing Score
$300
Exam Fee

At a glance

483 questions
Best for有 2 年以上 ML 开发和数据分析经验的数据科学家, 希望获得 AWS ML 专家认证的高级 ML 工程师
Prep pace6-8 weeks with experience
Course pack6 chapters · 70 hours
Learner signal860 enrolled · 4.8/5
Exam Guide

What this certification covers

This page is structured for quick scanning first: exam format, fit, prep time, and the actual study scope.

You will work with

SageMakerS3KinesisGlueFeature EngineeringXGBoostDeep LearningModel TuningA/B TestingEMRAthenaComprehendRekognitionLex

After preparation

  • 获得 AWS 官方认可的 Machine Learning Specialty 认证
  • 掌握端到端 ML 解决方案的设计与实施
  • 精通数据工程、特征工程和模型优化
  • 具备选择和调优 ML 算法的专家能力

Exam details

Exam Code
MLS-C01
Provider
Amazon Web Services
Duration
180 minutes
Question Count
65 questions
Passing Score
750/1000
Validity
3 years
Exam Fee
$300 USD
Question Types
Single choice, Multiple select
Languages
English, 日本語, 한국어, 简体中文
Official Page
Open AWS page

Who should take it

Good fit

  • 有 2 年以上 ML 开发和数据分析经验的数据科学家
  • 希望获得 AWS ML 专家认证的高级 ML 工程师
  • AI/ML 解决方案架构师
  • 希望转型 ML 方向的高级软件工程师
  • 数据科学和人工智能专业的研究生

Before you start

  • 1-2 年 AWS 云服务使用经验
  • 2 年以上机器学习/深度学习实践经验
  • 熟练掌握 Python 和 ML 框架（TensorFlow/PyTorch）
  • 扎实的统计学和线性代数基础
  • 了解数据工程和 ETL 流程

Exam domains

Use this breakdown to decide where to spend study time first instead of reading chapters evenly.

Content Distribution

20%

1. 数据工程

Data Engineering

Core Knowledge
KinesisGlueEMR数据管道S3 数据湖数据格式转换
24%

2. 探索性数据分析

Exploratory Data Analysis

Core Knowledge
数据可视化特征选择数据清洗统计分析降维数据分布分析
36%

3. 建模

Modeling

Core Knowledge
SageMaker 内置算法深度学习超参数调优模型评估正则化集成学习
20%

4. ML 实施与运维

ML Implementation and Operations

Core Knowledge
模型部署A/B 测试SageMaker Neo边缘推理CI/CD模型监控

Study preparation

With hands-on AWS

6-8 weeks

From scratch

10-14 weeks

Daily pace

1-2 hours/day

Learning path preview

6 chapters
1
MLS-C01 考试概述与备考指南
45 min
2
数据工程
120 min
3
探索性数据分析
140 min
4
建模
180 min
5
ML 实施与运维
120 min
6
考前冲刺与实战演练
60 min

Certification comparison

AWS ML SpecialtyAWS Advanced NetworkingAWS Data Analytics Specialty
ProviderAWSAWSAWS
Level专家级专家级专家级
Fee$300$300$300
Duration180 min170 min180 min
Questions per exam656565
Validity3 yrs3 yrs3 yrs

Study tips and common mistakes

💡

65 题 180 分钟，平均每题 3 分钟，合理分配时间

💡

及格分 750/1000，不确定的题先标记跳过，回头再做

💡

排除法非常有用 — 先排掉明显错误的选项，剩下的再分析

💡

多选题会告诉你选几个，仔细看题目要求

⚠️

没有读完所有选项就选答案 — 题目经常有"最佳"答案和"正确但不最佳"的干扰项

⚠️

备考只刷题不理解原理 — 考试场景题需要理解底层概念

⚠️

忽略时间管理 — 在难题上卡太久，导致后面简单题没时间做

Frequently Asked Questions

If you plan to take AWS ML Specialty, start with real practice.

483 questions, chapter-by-chapter learning, mock exams, wrong-question review, and AI tutor support live in the exam page.

Go to exam prep

From $39 · 2 free chapters

Student reviews

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EXAM PREP

AWS ML Specialty Question Bank

Chapter-by-chapter learning + mock exams + AI tutor

483
Questions
6
Chapters
70h
Study
70%
Pass Rate
  • First 2 chapters free
  • Real exam format mock tests
  • AI-powered wrong answer review
  • Chapter progress tracking
From $39
Start Practice Now

Prep snapshot

Study chapters6
Practice questions483
Estimated hours70h
Rating4.8/5
Learners860

What is inside

  • 6 个系统化学习章节，覆盖考试 4 大领域
  • 483 精选练习题，每题附详细解析
  • 仿真模拟考试（65 题/180 分钟）
  • 错题本 + 智能复习，薄弱环节针对性突破
  • 学习进度可视化追踪