The AWS Certified Machine Learning - Specialty (MLS-C01) exam is intended for individuals who perform a development or data science role. This certification validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.

The Amazon AWS Certified Machine Learning - Specialty (MLS-C01) exam is designed for individuals who perform a development or data science role. This certification validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.

The AWS Certified Machine Learning - Specialty (MLS-C01) exam typically consists of 65 multiple-choice and multiple-response questions.

The passing score for the AWS Certified Machine Learning - Specialty (MLS-C01) exam is 750 on a scale of 100-1000.

The competency level required for the AWS Certified Machine Learning - Specialty (MLS-C01) exam is advanced, as it is intended for individuals with significant experience and expertise in machine learning and data science.

The question format of the AWS Certified Machine Learning - Specialty (MLS-C01) exam includes multiple-choice and multiple-response questions.

You can take the AWS Certified Machine Learning - Specialty (MLS-C01) exam at a Pearson VUE or PSI testing center, or online with a proctor through the AWS Certification website.

The AWS Certified Machine Learning - Specialty (MLS-C01) exam is offered in English, Japanese, Korean, and Simplified Chinese.

The cost of the AWS Certified Machine Learning - Specialty (MLS-C01) exam is $300 USD.

The target audience for the AWS Certified Machine Learning - Specialty (MLS-C01) exam includes data scientists, machine learning engineers, developers, and other IT professionals who want to validate their machine learning skills on the AWS platform.

The average salary of an individual with AWS Certified Machine Learning - Specialty certification varies based on location and experience, but it generally ranges from $120,000 to $160,000 per year.

The testing providers for the AWS Certified Machine Learning - Specialty (MLS-C01) exam are Pearson VUE and PSI.

The recommended experience for the AWS Certified Machine Learning - Specialty (MLS-C01) exam includes 1-2 years of experience developing, architecting, or running machine learning/deep learning workloads on the AWS Cloud, along with the ability to express the intuition behind basic machine learning algorithms.

There are no formal prerequisites for the AWS Certified Machine Learning - Specialty (MLS-C01) exam, but it is recommended that candidates have significant hands-on experience with machine learning and AWS services.

As of now, there is no announced retirement date for the AWS Certified Machine Learning - Specialty (MLS-C01) exam. AWS typically provides advance notice when an exam is scheduled to retire.

The AWS Certified Machine Learning - Specialty (MLS-C01) exam is part of the AWS Certification roadmap, which includes foundational, associate, professional, and specialty certifications. It is a specialty-level certification focusing on machine learning.

The AWS Certified Machine Learning - Specialty (MLS-C01) exam covers topics such as data engineering, exploratory data analysis, modeling, machine learning implementation and operations, and more.

Sample questions for the AWS Certified Machine Learning - Specialty (MLS-C01) exam can be found on the official AWS Certification website, which provides a downloadable exam guide and sample questions to help candidates prepare.

The difficulty level of the AWS Certified Machine Learning - Specialty (MLS-C01) exam is considered advanced, as it requires a deep understanding of machine learning concepts and practical experience with AWS services.