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AWS Certified Machine Learning Specialty – Mock Test
The AWS Certified Machine Learning – Specialty (MLS-C01)The AWS Certified Machine Learning – Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate’s ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems. Abilities Validated by the CertificationSelect and justify the appropriate ML approach for a given business problemIdentify appropriate AWS services to implement ML solutionsDesign and implement scalable, cost-optimized, reliable, and secure ML solutionsRecommended Knowledge and Experience1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS CloudThe ability to express the intuition behind basic ML algorithmsExperience performing basic hyperparameter optimizationExperience with ML and deep learning frameworksThe ability to follow model-training best practicesThe ability to follow deployment and operational best practicesPrepare for Your ExamThere is no better preparation than hands-on experience. There are many relevant AWS Training courses and other resources to assist you with acquiring additional knowledge and skills to prepare for certification. Please review the exam guide for information about the competencies assessed on the certification exam on AWS site -> AWSCertification section. To ensure success in AWS Certified Machine Learning – Specialty (MLS-C01) certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for AWS Certified Machine Learning – Specialty (MLS-C01) exam.
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