Amazon AWS Certified Machine Learning - Specialty Bundle
- Exam: AWS Certified Machine Learning - Specialty AWS Certified Machine Learning - Specialty (MLS-C01)
- Exam Provider: Amazon
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AWS Certified Machine Learning - Specialty Questions & Answers
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The AWS Machine Learning Specialty certification is designed for developers and data scientists who want to enhance their skills in using machine learning via the AWS platform.
What Is Audience for AWS Machine Learning Specialty Certification?
The AWS Certified Machine Learning Specialty certificate is intended for programmers, data scientists, and other candidates passionate about machine learning who want to learn how to use the benefits of artificial intelligence capabilities on the AWS platform. The training process necessary for obtaining this certification helps examinees develop the right skills to build, train, and deploy machine learning models using advanced AWS Cloud services. Candidates can achieve this certificate by obtaining the passing score in MLS-C01 exam. Even though this test doesn’t have any mandatory requirements, the vendor recommends that candidates should have previous knowledge of certain topics. A successful applicant is one who has between 1 to 2 years of practical experience in developing, running and architecting ML and deep learning workloads on the AWS Cloud. Also, it would be helpful if the candidate would have prior experience performing basic hyperparameter optimization and know how to follow model-training and operational best practices.
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-C01. This is a specialty exam and it is delivered in English, Japanese, Korean, and Simplified Chinese. Candidates can use two types of delivery methods:
- In testing centers;
- Online using a proctored exam platform.
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.
What Topics Are Covered in AWS Machine Learning - Specialty Certification Exam?
The certification exam for the AWS Machine Learning – Specialty certification tests the candidates' ability to select the best machine learning strategy to improve the business processes. Also, they will be able to identify the best AWS service needed to implement different machine learning solutions. Besides, candidates will be able to design and put into practice reliable, scalable, and cost-optimized machine learning solutions. The AWS MLS-C01 exam, in particular, focuses on four domains. They are the following:
- Data engineering;
- Exploratory Data Analysis;
- Machine Learning Implementation and Operations.
The first topic handles data engineering and has 3 sections. The first one handles the creation of data repositories for efficient machine learning strategies. Also, candidates will learn how to effectively identify and implement solutions related to data-ingestion. The third sub-domain included in this section focuses on the implementation and identification of different data-transformation solutions.
The second tested area concentrates on exploratory data analysis. When they prepare for this topic, candidates will learn how to sanitize and prepare data for modeling. Also, they will learn how to make a performance when it comes to feature engineering. Finally, candidates will learn how to visualize data and analyze different parameters for machine learning.
Within the modeling section, candidates will learn how to frame different business problems related to machine learning issues. Besides, they will find how to select the right models for different machine learning problems. In this section, candidates will also learn how to train effectively for machine learning models. Another essential concept that candidates will discover in this part is related to hyperparameter optimization performance. Last but not least, applicants will understand how to correctly evaluate machine learning models.
The final domain concentrates on machine learning operations and implementation. This segment focuses on helping candidates develop advanced abilities in building machine learning solutions to achieve the highest performance and fault tolerance. These solutions will help them ensure availability, resilience, and scalability. Another subtopic included in the last objective deals with the recommendations and implementation of the right machine learning services adapted to the business context. Candidates will also learn how to apply fundamental AWS security practices to solve different machine learning issues. Finally, they will become ready to deploy and operationalize various machine learning solutions.
What Are Career Opportunities for Certified Specialists?
If you are determined to get this AWS Machine Learning Specialty certification, you should be ready to understand how machine learning works and how to implement its features to solve different business problems and improve processes. By adding this certification under your belt, you can apply for different positions, such as:
- Machine Learning Engineer;
- Senior Development Manager, Applied Science;
- Software Development Engineer;
- Deep and Machine Learning Specialist.
Any successful candidate who manages to get the AWS Machine Learning Specialty certification will have improved chances to get a well-paid job and appealing incentives. We checked what Payscale.com mentions the opportunities available for the positions above. According to the benchmark of this site, a Machine Learning Engineer will get around $111k per annum. On the other hand, a Software Development Engineer can win approximately $110k in one year. Of course, a candidate who gets an international certificate like the AWS one will benefit from a higher salary. In case you wonder what a Machine Learning Engineer does, then you should know that he/she works with artificial intelligence and creates different programs and algorithms that improve business development and make processes more effective. The person working in this position is quite autonomous and has an open-minded attitude. He/she will immediately identify faults and come with immediate solutions to prevent any system breakdowns.
In case you want to specialize in more specific AWS services, you can opt for other Amazon specialty certifications like the AWS Certified Advanced Networking Specialty, the AWS Certified Alexa Skill Builder Specialty, or the AWS Certified Database Specialty if to name a few.
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