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AWS Certified Machine Learning Specialty - Practice Exam
The full-length exam-style questions give thorough feedback and suggested resources for AWS ML Cert preparation [2024].

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About AWS Certified Machine Learning Specialty - Practice Exam
With the introduction of Generative AI, AWS Certified Machine Learning Specialty
(MLS-C01) is consistently among the top-paying IT certifications, considering that
Amazon Web Services
is the leading cloud services platform in the world with almost 50% market share. Machine learning professionals can earn over $150,000 per year with an AWS Certified
Machine Learning Specialty
certification!
It would be ideal if Candidate had the following AWS knowledge:
Ability to convey the intuition underlying basic machine learning techniques.
Experience with basic hyperparameter optimization
Experience with ML and deep learning frameworks.
The ability to adhere to model-training best practices
The capacity to use deployment best practices
The ability to adhere to operational best practices Knowledge that is 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 Response types
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.