For those who work in data science or artificial intelligence/machine learning (AI/ML) development, the AWS Certified Machine Learning - Specialty (MLS-C01) exam is designed for them. The test verifies a candidate's capacity to use the AWS Cloud to design, develop, implement, optimize, train, tune, and manage ML solutions for specific business challenges.
The exam also confirms a candidate's competence to do the following tasks:
- Choose and justify the best machine learning technique for a specific business challenge.
- Identify relevant AWS services for implementing machine learning solutions.
- Create and execute scalable, cost-effective, dependable, and secure machine learning systems.
Who ought to take this Exam?
The ideal applicant should have at least two years' worth of first-hand experience creating, architecting, and executing machine learning or deep learning workloads on the AWS Cloud.
Preferred familiarity with AWS
The following knowledge is what the ideal applicant should possess:
- the capacity to communicate the idea behind fundamental machine learning (ML) algorithms;
- practical experience with basic hyperparameter optimization;
- familiarity with ML and deep learning frameworks;
- The capacity to adhere to model-training best practices.
- The capacity to adhere to operational best practices and optimal deployment methods
Syllabus details about AWS-Certified-Machine-Learning-Specialty-Certification exam
Domain 1: Data Engineering
- Create data repositories for machine learning.
- Identify and implement a data-ingestion solution.
- Identify and implement a data-transformation solution.
Domain 2: Exploratory Data Analysis
- Sanitize and prepare data for modeling.
- Perform feature engineering.
- Analyze and visualize data for machine learning.
Domain 3: Modeling
- Frame business problems as machine learning problems.
- Select the appropriate model(s) for a given machine learning problem.
- Train machine learning models.
- Perform hyperparameter optimization.
Domain 4: Machine Learning Implementation and Operations
- Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
- Recommend and implement the appropriate machine learning services and features for a given problem.
- Apply basic AWS security practices to machine learning solutions.
- Deploy and operationalize machine learning solutions.
MLS-C01 Exam Info:
|Exam Name||AWS Certified Machine Learning Specialty|
|No. of Questions||65|
|Exam Cost||USD 300|
|Passing score||750/1000 Or 75%|
|Exam Time Duration||180 minutes|
|Language||English, Korean, Japanese, Simplified Chinese|
|Format of Exam||Multiple Choice Questions, Drag and Drop, Multiple Answers, Scenario-based|
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