Skip to content

Subarashi42/AWS--MLS-C01--studypack

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AWS Certified Machine Learning – Specialty (MLS-C01) Practice exam

License: CC BY-NC-SA 4.0 Questions Count Maintained

Prepare effectively for the AWS Certified Machine Learning – Specialty (MLS-C01) exam with these curated practice questions and answers.

AWS ML Cert Badge

📚 What's Included

  • 137 unique practice questions tailored to the MLS-C01 exam
  • ✅ Answers and explanations in a separate file
  • ✅ Questions designed to mirror real exam content and difficulty
  • ❌ No brain dumps or unethical material — only high-quality practice content

🧩 Covered Topics

These questions span a broad range of services and concepts relevant to the exam:

  • AWS Services:

    • Amazon Athena
    • Amazon CloudWatch
    • Amazon Comprehend
    • Amazon EC2
    • Amazon EMR
    • Amazon Kinesis
    • Amazon SageMaker
    • Amazon S3
    • Amazon Textract
    • Amazon Transcribe
    • AWS Batch
    • AWS Glue
    • AWS Lambda
    • Virtual Private Cloud (VPC)
  • Data & ML Technologies:

    • Apache Parquet
    • Apache Spark
    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
    • K-means Clustering
    • Linear & Logistic Regression
    • Principal Component Analysis (PCA)

...and more!


📝 Files in This Repository

  • MLS-C01-Questions.md – Contains all 137 practice questions.
  • MLS-C01-Answers.md – Detailed answers and brief explanations (where applicable).

⚠️ Disclaimer

This is not a brain dump or a source of leaked questions. The goal of this repository is to help you study responsibly and understand the key topics on the exam. Always use ethical resources when preparing for certifications.

About

Practice questions and answers for the AWS Certified Machine Learning – Specialty (MLS-C01) exam

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published