AWS Certified Machine Learning – Specialty certification not only validates essential skills but also signifies a profound understanding of ML principles and practices tailored for the AWS environment. Achieving AWS Certified Machine Learning – Specialty certification is a significant milestone for professionals looking to advance their careers in the field of machine learning. By mastering the MLS-C01 exam, individuals can showcase their expertise in leveraging AWS services to build robust and scalable ML solutions. With comprehensive preparation and dedication, success in the MLS-C01 exam is within reach, opening doors to exciting opportunities in the world of cloud-based machine learning.
AWS Certified MLS-C01 Exam Overview
The MLS-C01 exam is designed for individuals with a development or data science background, who possess at least two years of hands-on experience in developing, architecting, or running ML or deep learning workloads on AWS. The MLS-C01 exam consists of 65 questions, which can be in either multiple-choice or multiple-response formats. Candidates have 180 minutes to complete the exam. The cost of the exam is $300. It can be taken at a Pearson VUE testing center or through an online proctored exam.
Key Topics Covered in MLS-C01 Exam
To pass the MLS-C01 exam, candidates need to have a deep understanding of the following content domains and their respective weightings:
1. Data Engineering (20%): This domain focuses on skills related to data collection, storage, and preprocessing on AWS.
2. Exploratory Data Analysis (24%): Candidates are tested on their ability to analyze data, identify patterns, and derive insights using AWS services.
3. Modeling (36%): This domain assesses candidates’ proficiency in building and evaluating ML models using various algorithms and techniques on AWS.
4. Machine Learning Implementation and Operations (20%): Candidates need to demonstrate their knowledge of deploying, monitoring, and maintaining ML models in production environments on AWS.