Become  AWS Certified Machine Learning – Specalist  

AWS certified machine learning certification exam preparation

Data Engineering – 20% 

The first domain of the AWS certified machine learning specialty certification is data engineering. The domain of data engineering has a weight of 20% in the total questions of the examination. Candidates have to prepare for the domain of data engineering by reflecting on three essential sub-topics. 

AWS certified machine learning specialty certification requires clear knowledge on the creation of data repositories for machine learning. Candidates will also have to cover skills for identifying and implementing a data-ingestion solution. In addition, candidates would also have to learn about identifying and implementing a data-transformation solution. 

Exploratory Data Analysis – 24% 

The next domain in the AWS certified machine learning specialty certification exam refers to exploratory data analysis. This domain is one of the formidable requirements for the machine learning specialty certification. Candidates will find around 24% of questions in the exam from this domain. 

The first subtopic in this domain refers to sanitization and preparation of data for modeling. The next subtopic in this domain relates to the performance of feature engineering. Candidates will also have to learn data analysis and visualization for machine learning. 

Modeling – 36% 

The most important domain for the AWS certified machine learning specialty certification exam deals with modeling. Candidates should note that they can find around 36% of questions in the exam from this domain. Therefore, this domain should be under the attention of candidates. The first subtopic in modeling is framing business problems as machine learning issues. 

Candidates would also have to cover skills for training machine learning models and performing hyperparameter optimization. Most important of all, candidates have to learn skills for choosing the appropriate models for a particular machine learning problem. In addition, you have to learn about evaluating machine learning models in this domain. 

Machine Learning Implementation and Operations – 20% 

The final domain also holds equal importance like other domains in the machine learning specialty certification exam. You will have to cover machine learning implementation and operations in this domain. Candidates will have to cover practical task-based questions in this domain and could not ignore its importance. You will learn about building machine learning solutions with performance, availability, fault tolerance, resiliency, and scalability. 

Candidates will also need to learn the application of basic AWS security practices to machine learning solution. Candidates will also have to learn the deployment and operationalization of machine learning solutions. Most important of all, you will also have to learn about the recommendation and implementation of reliable machine learning services and features for a particular issue.