AWS Certified Machine Learning Specialty ~ Practice Exams

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This course is a comprehensive and targeted preparation resource designed to assist aspiring machine learning professionals in achieving the AWS Certified Machine Learning – Specialty certification (MLS-C01). This course offers a focused and intense practice experience through a series of mock exams that closely simulate the actual certification exam. With an extensive collection of challenging questions, the course aims to evaluate and enhance participants’ understanding of key machine learning concepts, AWS services, and practical application scenarios. Each mock exam reflects the structure and complexity of the official certification test, ensuring that learners become familiar with the question format and time constraints. AWS Certified Machine Learning – Specialty Exam details: Exam Name: AWS machine learning specialty Exam code: MLS-C01Exam voucher cost: $300 USDExam languages: English, Japanese, Korean, and Simplified Chinese Exam format: Multiple-choice, multiple-answer Number of questions: 65 (estimate)Length of exam: 170 minutes Passing grade: Score is from 750-1000, passing grade of 750AWS certifications are valid for 3 years, after which you must recertify (you get a 50% off voucher for your recertification exam from AWS)AWS Machine Learning Certification Syllabus Data Engineering: 20%Exploratory Data Analysis: 24%Modeling: 36%Machine Learning Implementation and Operations: 20%# Domain 1: Data Engineering The sections that are tested and covered in this domain are as follows: Development of Machine Learning repositories Implementation and identification of data ingestion and transformation solutions# Domain 2: Exploratory Data Analysis This module comprises modeling and other Machine Learning concepts, along with the ones mentioned below: Preparation and sanitization of data for modeling Feature engineering Data visualization and analyzing for Machine Learning# Domain 3: Modeling This is among the most vital domain among the rest when it comes to preparation and examination. The sections covered in this domain are listed below: Relating business issues with Machine Learning Training Machine Learning models Identification of the right model for the respective Machine Learning business problem Hyperparameter optimization Evaluation of Machine Learning models# Domain 4: Machine Learning Implementation and Operations This domain of the syllabus includes concepts of Implementation and services of Machine Learning, some of which include: Development of Machine Learning solutions for availability, resiliency, fault-tolerance, and performance Recommendation and implementation of the right Machine Learning services for the respective issues Application of basic security practices of AWS to Machine Learning solutions Participants can expect to sharpen their problem-solving skills, reinforce their knowledge of AWS machine learning services, and gain confidence in their ability to tackle real-world machine learning challenges within the AWS ecosystem. By tackling a variety of scenarios and assessing their progress through detailed explanations and rationales for each question, participants will be better equipped to excel on the actual certification exam. Whether you are a machine learning practitioner, developer, or data scientist, this course provides a valuable opportunity to gauge your readiness and refine your skills, ultimately leading to success in earning the AWS Certified Machine Learning – Specialty certification.