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.