Exam Topics
As for the MLS-C01 certification test, there are 4 domains that are presented in the exam content. All in all, the topics you need to focus on when preparing for this test are highlighted below:
- Machine Learning Implementation and Operations
This is the last objective of the certification exam. It mainly includes the concepts of machine learning services as well as implementation. It carries about 20% weightage in the test. One of the most prominent sections covered within this domain is building machine learning solutions for availability, fault tolerance, resiliency, and performance. It also evaluates the candidates’ knowledge and skills in implementing and recommending the correct machine learning services particularly for a given problem. In addition, the examinees should be ready to demonstrate that they know about applying basic Amazon Web Services (AWS) security practices to specific machine learning solutions. Also, this part requires that the IT pros attempting this test make evident that they have the skills and knowledge required to deploy and operationalize machine learning solutions.
- Modeling
This is the most prominent part of this exam with a weightage of 36%. This means that it is impossible to get the passing score if you have not mastered this topic. It covers the following sections, including framing business problems as machine learning problems and training machine learning model. In addition, the test takers need to be ready to demonstrate their competence in selecting an appropriate model for specific machine learning problems. They have to possess the ability to perform hyperparameter optimization as well as perform the task of evaluating machine learning models.
- Data Engineering
This domain makes up about 20% of the total questions in the entire exam content. It measures the test takers’ ability to accomplish the technical tasks such as creating machine and learning data repositories. Another section that is included in this topic is implementing & identifying the data ingestion solution. Besides that, the students are also required to demonstrate their skills in implementing and identifying data transformation solutions.
- Exploratory Data Analysis
The second subject area covers about 24% of the total weightage and requires that the learners know about data for machine learning. They should know more about machine modeling concepts as well. The questions in this section demand that the candidates possess the skills in preparing data & sanitizing that particular data for modeling. Other items seek to verify their expertise in performing feature engineering. Last but not least, the applicants should demonstrate their understanding of how to perform visualization and canalization of data for machine learning.
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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:
- Software Development Engineer;
- Machine Learning Engineer;
- Deep and Machine Learning Specialist.
- Senior Development Manager, Applied Science;
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.
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