Test index for the MLS-C01 AWS Machine Learning Specialty certification exam

MLS-C01 test index

For most people effective learning is active learning. Frequent, targeted, testing can help to keep interest, measure achievements and identify weaknesses requiring further study. There are over 25 tests are embedded in the Study Guides. This test index has links to take you to each test.

Domain 1 Data Engineering

• 1. Data Engineering
• 1.1 Create data repositories for machine learning.
• 1.2 Identify and implement a data-ingestion solution.
  • Streaming data for Machine Learning
  • Batch processing for Machine Learning
• 1.3 Identify and implement a data-transformation solution.

Domain 2 Exploratory Data Analysis

• 2 Exploratory data analysis
• 2.1 Sanitize and prepare data for modeling
• 2.2 Perform feature engineering
• 2.3 Analyze and visualize data for machine learning

Domain 3 Modeling

• 3 Modeling
• 3.1 Frame the business problem
  • Problem Framing for Machine Learning
  • Supervised Learning for Machine Learning
  • Unsupervised Learning for Machine Learning
• 3.2 Select the appropriate models
  • How to select a model for a given machine learning problem
  • 35 Q & A for SageMaker built-in algorithms
    • Choose the SageMaker built-in algorithm
    • Choose an algorithm from a list of uses
• 3.3 Train the models
  • Training Machine Learning models
• 3.4 Tune the models
  • Model tuning
• 3.5 Evaluate the models
  • How to evaluate Machine Learning models

Domain 4 Machine Learning Implementation and Operations

• 4 Machine Learning Implementation and Operations
• 4.1 Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
• 4.2 Recommend and implement the appropriate machine learning services and features for a given problem.
• 4.3 Apply basic AWS security practices to machine learning solutions.
• 4.4 Deploy and operationalize machine learning solutions.

AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam

This study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. The online resources that accompany this Study Guide include practice exams and assessments, electronic flashcards, and supplementary online resources.