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AWS Certified Machine Learning – Specialty (MLS-C01) Practice exam\n[![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-blue.svg)](http://creativecommons.org/licenses/by-nc-sa/4.0/)\n![Questions Count](https://img.shields.io/badge/Questions-137-blueviolet)\n![Maintained](https://img.shields.io/badge/Maintained%3F-yes-brightgreen)\n\nPrepare effectively for the **AWS Certified Machine Learning – Specialty (MLS-C01)** exam with these curated practice questions and answers.  \n\n![AWS ML Cert Badge](images/aws_logo.png)\n## 📚 What's Included\n\n* ✅ **137 unique** practice questions tailored to the MLS-C01 exam\n* ✅ Answers and explanations in a separate file\n* ✅ Questions designed to mirror real exam content and difficulty\n* ❌ No brain dumps or unethical material — only high-quality practice content\n\n---\n\n## 🧩 Covered Topics\n\nThese questions span a broad range of services and concepts relevant to the exam:\n\n* **AWS Services:**\n\n  * Amazon Athena\n  * Amazon CloudWatch\n  * Amazon Comprehend\n  * Amazon EC2\n  * Amazon EMR\n  * Amazon Kinesis\n  * Amazon SageMaker\n  * Amazon S3\n  * Amazon Textract\n  * Amazon Transcribe\n  * AWS Batch\n  * AWS Glue\n  * AWS Lambda\n  * Virtual Private Cloud (VPC)\n\n* **Data \u0026 ML Technologies:**\n\n  * Apache Parquet\n  * Apache Spark\n  * Convolutional Neural Networks (CNNs)\n  * Recurrent Neural Networks (RNNs)\n  * K-means Clustering\n  * Linear \u0026 Logistic Regression\n  * Principal Component Analysis (PCA)\n\n...and more!\n\n---\n\n## 📝 Files in This Repository\n\n* `MLS-C01-Questions.md` – Contains all 137 practice questions.\n* `MLS-C01-Answers.md` – Detailed answers and brief explanations (where applicable).\n\n---\n\n## ⚠️ Disclaimer\n\nThis 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.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsubarashi42%2Faws--mls-c01--studypack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsubarashi42%2Faws--mls-c01--studypack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsubarashi42%2Faws--mls-c01--studypack/lists"}