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Introduction
The AWS Certified Machine Learning – Specialty (MLS-C01) examination is intended for individuals who perform a development or data science role. This exam validates an examinees ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud.
It validates an examinees ability to design, implement, deploy, and maintain ML solutions for given business problems. It will validate the candidates ability to:
=> 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
Expectations;
– 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud
– The ability to express the intuition behind basic ML algorithms
– Experience performing basic hyperparameter optimization
– Experience with ML and deep learning frameworks
– The ability to follow model-training best practices
– The ability to follow deployment and operational best practices
Exam Content
There are two types of questions on the examination:
=> Multiple choice: Has one correct response and three incorrect responses (distractors).
=> Multiple response: Has two or more correct responses out of five or more options.
Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that an examinee with incomplete knowledge or skill would likely choose. However, they are generally plausible responses that fit in the content area defined by the test objective.
Unanswered questions are scored as incorrect; there is no penalty for guessing. For more support and quires, ask from (support@realexamcollection.com).
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