- Exam Code: MLS-C01
- Exam Name: AWS Certified Machine Learning - Specialty (MLS-C01 Korean Version)
- Certification Provider: Amazon
- Corresponding Certification:AWS Certified Specialty
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What Exam Is Necessary for AWS Machine Learning – Specialty?
The only test necessary to take the AWS Machine Learning – Specialty certification has the code MLS-C This is a specialty exam and it is delivered in English, Japanese, Korean, and Simplified Chinese. Candidates can use two types of delivery methods:
- Online using a proctored exam platform.
- In testing centers;
The registration fee for the AWS MLS-C01 exam is $300. In case candidates want to enroll in doing a practice exam, they should pay another $40. MLS-C01 test includes two types of questions. Candidates will have to answer both multiple-choice and multiple-answer items. Besides, the passing score range goes from 100 to 1,000 points. A candidate will be successful only when he/she gets a minimum score of 750 points. After successfully completing this MLS-C01 exam, you will be awarded the AWS Certified Machine Learning Specialty certification. If you add this certificate to your resume and social network, your chances to get better salary offers are higher. Also, this certification is valid for three years. But once its validity expires, you will need to check the vendor's official site for recertification.
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The benefit in Obtaining the AWS Certified Machine Learning - Specialty Certification
- Amazon MLS Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization
- Amazon MLS certified candidates will be confident and stand different from others as their skills are more trained than non-certified professionals
- Amazon MLS Certifications will provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience
- AWS Certified Machine Learning - Specialty will provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so
Prerequisites
The potential candidates should have 12-24 months of experience in architecting, developing, or running machine learning or deep learning workloads particularly on AWS Cloud. They must also possess the ability to effectively express the intuition behind basic machine learning algorithms. It is also advisable to have some experience with machine learning and deep learning frameworks, as well as be able to follow operational & deployment best practices.
Amazon MLS-C01 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Exploratory Data Analysis (EDA) | 24% | - Data quality assessment - Data visualization and statistical analysis - Feature correlation and selection |
| Machine Learning Implementation and Operations | 20% | - Amazon SageMaker usage and operations - ML pipeline deployment on AWS - CI/CD for ML workflows - Model monitoring and maintenance |
| Modeling | 36% | - Deep learning concepts - Hyperparameter tuning - Supervised and unsupervised learning - Algorithm selection and evaluation |
| Data Engineering | 20% | - Data storage and data ingestion - Feature engineering pipelines - Data preprocessing and transformation |
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