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MLS-C01 - AWS Certified Machine Learning - Specialty

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Refreshed: 01-Aug-2026
Syllabus Size: 330 Q&As with Explanations

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Refreshed: 01-Aug-2026
Syllabus Size: 330 Active Questions

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MLS-C01 Question Types Breakdown:

Single Choice: 276 Q&As
Multiple Choice: 54 Q&As

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Amazon Web Services MLS-C01 Exam Dumps FAQs

The AWS MLS-C01 certification validates your advanced skills in designing, implementing, and maintaining machine learning solutions on Amazon Web Services. Its essential for professionals aiming to optimize AWS-based ML workflows, making you a trusted expert in AI-driven cloud architecture.
The MLS-C01 exam is a computer-based test delivered via Pearson VUE or PSI. It includes 65 multiple-choice and multiple-response questions. You have 180 minutes to complete the exam.

The MLS-C01 exam covers four main domains:

  • Data Engineering (20%)

  • Exploratory Data Analysis (24%)

  • Modeling (36%)

  • Machine Learning Implementation and Operations (20%)

To pass the AWS MLS-C01 exam, you need a scaled score of 750 out of 1000. The scoring is based on the difficulty level of each question and your overall performance.
The MLS-C01 exam fee is $300 USD. This investment reflects the value of the certification and its impact on your career in cloud-based machine learning.

The Amazon Web Services MLS-C01 and ANS-C01 exams are both AWS Specialty certifications, but they focus on very different skill areas:

  • AWS MLS-C01 (Machine Learning – Specialty): The AWS MLS-C01 exam validates your expertise in machine learning (ML) and artificial intelligence (AI) on the AWS platform. It covers domains such as data engineering, exploratory data analysis, modeling, and machine learning operations.
  • AWS ANS-C01 (Advanced Networking – Specialty): The AWS ANS-C01 exam validates advanced knowledge in designing, implementing, and managing complex networking architectures on AWS. It covers topics such as hybrid IT networking, network automation, connectivity, security, and global-scale architectures.
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