The AWS Certified Machine Learning – Specialty (MLS-C01) exam is designed for professionals looking to validate their expertise in building, training, tuning, and deploying machine learning models on AWS. As the field of machine learning continues to evolve, so does the focus of the exam. If you’re preparing for the MLS-C01 exam in 2025, it's crucial to understand the question trends and core concepts that are likely to be tested.
Below is a detailed guide to the Amazon MLS-C01 exam questions you can expect in 2025, based on current patterns, AWS updates, and industry focus areas.
Key Domains Covered in MLS-C01
The exam is structured around four primary domains, each weighted differently:
- Data Engineering (20%)
- Exploratory Data Analysis (24%)
- Modeling (36%)
- Machine Learning Implementation and Operations (20%)
Each of these domains contributes specific question types that test both theoretical understanding and hands-on practical skills.
Amazon MLS-C01 Exam Questions Likely to Appear in 2025
1. Data Engineering
- Identify appropriate storage solutions (e.g., S3 vs. Redshift vs. RDS)
- Optimize data pipelines using AWS Glue, Kinesis, and Lambda
- Handle real-time vs. batch processing scenarios
2. Exploratory Data Analysis (EDA)
- Detect data imbalance and choose the right technique (e.g., SMOTE, undersampling)
- Handle missing data and outliers in datasets
- Interpret visualizations and data distribution graphs
3. Modeling
- Select the right machine learning algorithm for business use cases
- Hyperparameter tuning using Amazon SageMaker
- Evaluate model performance using metrics like F1, AUC-ROC, precision/recall
- Handle overfitting/underfitting and regularization techniques
4. Machine Learning Implementation and Operations
- Deploy models using SageMaker endpoints or batch transform
- Monitor model drift and retrain models efficiently
- Secure models and endpoints with IAM roles and encryption
- Set up CI/CD pipelines for ML workflows
Tips to Tackle Amazon MLS-C01 Exam Questions Effectively
- Practice with scenario-based questions, as many Amazon MLS-C01 Exam questions are contextual and test real-world decision-making.
- Focus on AWS service limitations and integration points, especially between SageMaker, S3, and Lambda.
- Memorize algorithm characteristicsn know when to use XGBoost, linear regression, KNN, etc.
- Review core AWS services like SageMaker, S3, IAM, CloudWatch, and Lambda, as they frequently appear in exam scenarios.
- Use trusted resources like study4exam to access realistic and updated Amazon MLS-C01 Exam questions for structured practice and self-assessment.
- Analyze both correct and incorrect answers to deepen your understanding of each concept.
Final Thoughts
The Amazon MLS-C01 exam questions expected in 2025 will reflect real-world ML challenges and AWS services that are at the core of production-level machine learning workflows. Focusing on practical, service-oriented knowledge along with strong fundamentals in ML will help you pass the exam and stand out as a certified AWS machine learning specialist.