The certification is valuable for data scientists, machine learning engineers, and others in related fields. Exam Overview •Exam Name: AWS Certified Machine Learning - Specialty (MLS-C01) •Duration: 180 minutes •Number of Questions: 65 •Passing Score: 750 out of 1000 •Exam Fee: $300 USD •MLS-C01 Study Guide Format: Multiple-choice, multiple-response questions •Prerequisites: While there are no formal prerequisites for the MLS-C01 exam, AWS recommends having a solid understanding of ML concepts, programming languages such as Python, and at least one year of hands-on experience with the AWS platform. Exam Domains The MLS-C01 exam is divided into four main domains, each of which tests a specific area of knowledge in machine learning: 1.Data Engineering (20%) oSelecting and preparing data for machine learning. oWorking with data in the AWS ecosystem. oBuilding and managing data pipelines. 2.Exploratory Data Analysis (24%) oAnalyzing data sets for patterns and trends. oUsing AWS tools to explore and manipulate data. oUnderstanding the significance of data exploration in building ML models. 3.Modeling (36%) oSelecting the right algorithms and frameworks. oTraining, tuning, and evaluating ML models. oUnderstanding overfitting, bias, variance, and other model evaluation techniques.

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