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AWS ML SpecialtyPractice With A Network Lab Atmosphere

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。

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384 questions in the bankMock ExamAI Explanation专家级🤖 AI/ML
Bank size
384
Live total in the bank — no vague estimates
Mock pace
180min
65-question timed simulation
Outcomes
70%
Pass-rate data, updated continuously
860usersPass rate70%Updated regularlyDetailed explanation per question

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Certification Overview

AWS Certified Machine Learning - Specialty (MLS-C01)

AWS Certified Machine Learning - Specialty (MLS-C01) 是 AWS 面向具有丰富 ML 经验的数据科学家和 ML 工程师提供的专家级认证，验证您在 AWS 上设计、构建、训练、调优和部署 ML 模型的全面能力。

Who Is This For

  • 数据科学家和高级 ML 工程师
  • 有 2 年以上 ML 实践经验的技术专家
  • 希望验证 AWS ML 专家能力的技术负责人
  • AI/ML 解决方案架构师

Prerequisites

  • 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

Learning Outcomes

  • 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
  • 提升数据科学家和 ML 架构师岗位竞争力

Exam Prep Highlights

6 个系统化学习章节，覆盖考试 4 大领域
384+ 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
同步 AWS 官方 MLS-C01 最新考纲

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SAMPLE0 / 3 answered
Q 1 / 3Modeling

A Machine Learning Specialist wants to predict which products users would like based on similarity to other users. What approach should be used?

This is a preview of 3 questions. Unlock 381+ more with full detailed explanations.

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All 384+ questions are sorted by exam domain, each tagged to its topic. You'll know exactly where you're strong and weak, and target the gaps.

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Stop repeating the same mistakes

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65Q / 180 min

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Exam Overview

Exam Domains

Data Engineering
数据工程
20%
Exploratory Data Analysis
探索性数据分析
24%
Modeling
建模
36%
ML Implementation and Operations
ML 实施与运维
20%

Exam Information

Exam Code
MLS-C01
Duration
180 min
Questions
65
Passing Score
750/1000
Exam Fee
$300
Validity
3 years
Question Types
Single choice, Multiple select
Official Page
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