AWS Certified Machine Learning - Specialty

The AWS Certified Machine Learning - Specialty (MLS-C01) exam is intended for individuals who perform an artificial intelligence and machine learning (AI/ML) development or data science role. The exam validates a candidate's ability to design, build, deploy, optimize, train, tune, and maintain ML solutions for given business problems by using the AWS Cloud. The exam also validates a candidate's ability to complete the following tasks: - Select and justify the appropriate ML approach for a given business problem. - Identify appropriate AWS services to implement ML solutions. - Design and implement scalable, cost-optimized, reliable, and secure ML solutions. The target candidate should have 2 or more years of experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud. Recommended AWS knowledge The target candidate should have the following AWS knowledge: - Experience performing basic hyperparameter optimization - Experience with ML and deep learning frameworks Job tasks that are out of scope for the target candidate The following list contains knowledge that the target candidate is not expected to have. This list is non-exhaustive. Knowledge in the following areas is out of scope for the exam: - Extensive or complex algorithm development - Extensive hyperparameter optimization - Complex mathematical proofs and computations - Advanced networking and network design - Advanced database, security, and DevOps concepts - DevOps-related tasks for Amazon EMR Exam Content There are two types of questions on the exam: - Multiple choice: Has one correct response and three incorrect responses (distractors) - Multiple response: Has two or more correct responses out of five or more response options Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that a candidate with incomplete knowledge or skill might choose. Distractors are generally plausible responses that match the content area. Unanswered questions are scored as incorrect; there is no penalty for guessing. The exam includes 50 questions that affect your score. The exam includes 15 unscored questions that do not affect your score. AWS collects information about performance on these unscored questions to evaluate these questions for future use as scored questions. These unscored questions are not identified on the exam. The AWS Certified Machine Learning - Specialty (MLS-C01) exam has a pass or fail designation. The exam is scored against a minimum standard established by AWS professionals who follow certification industry best practices and guidelines. Your results for the exam are reported as a scaled score of 100–1,000. The minimum passing score is 750. Your score shows how you performed on the exam as a whole and whether you passed. Scaled scoring models help equate scores across multiple exam forms that might have slightly different difficulty levels. Your score report could contain a table of classifications of your performance at each section level. The exam uses a compensatory scoring model, which means that you do not need to achieve a passing score in each section. You need to pass only the overall exam. Each section of the exam has a specific weighting, so some sections have more questions than other sections have. The table of classifications contains general information that highlights your strengths and weaknesses. Use caution when you interpret section-level feedback.