35 Q & A for SageMaker built-in algorithms
The AWS Machine Learning – Speciality certification exam (MLS-C01) tests your abilities to select the correct answer to real life scenarios. 36% of the questions in the MLS-C01 exam will be from Domain 3. These SageMaker built-in algorithms are part of Sub-domain 3.2, Select the appropriate models for a given Machine Learning problem. Sub-domain 3.2 describes SageMaker’s 17 built-in algorithms, their features and how they can be chosen to solve a given problem. Each of the SageMaker built-in algorithms is described with the same level of detail as the exam questions in the Study Guides organised by the most significant paradigm or data processed. There are four Study Guides, as shown in this table:
| Main paradigm / data | Supervised | Unsupervised | Text | Images |
| Number of algorithms | 5 | 5 | 4 | 3 |
The table below shows SageMaker built-in algorithms listed in alphabetical order with their paradigm or the data type they process.
| Algorithm name | Paradigm / data type processed |
| Blazing Text | Text |
| Deep AR Forecasting | Supervised |
| Factorization Machines | Supervised |
| Image Classification | Image |
| IP Insights | Unsupervised |
| K-Means | Unsupervised |
| K-Nearest Neighbor (K-NN) | Supervised |
| Latent Dirichlet Allocation (LDA) | Text |
| Linear Learner | Supervised |
| Neural Topic Model (NTM) | Text |
| Object Detection | Image |
| Object2vec | Unsupervised |
| Principal Component Analysis (PCA) | Unsupervised |
| Random Cut Forest (RCF) | Unsupervised |
| Semantic Segmentation | Image |
| Sequence-to-sequence | Text |
| XGBoost | Supervised |
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. It is available in both paper and kindle version for immediate access. (Vist Amazon books)
Questions
The following Questions and Answers will help you to prepare for the AWS Machine Learning – Speciality certification exam. The Questions and Answers are organized into two tests:
Choose the SageMaker built-in algorithm
For a given use, choose the most appropriate SageMaker built-in algorithms. There are 18 multiple choice questions with one or more answers.
Choose an algorithm from a list of uses
For a given SageMaker built-in algorithm choose from a list of uses appropriate for the algorithm. There are 17 multiple choice questions with one or more answers.
Choose input data for an algorithm
Please select quiz
Amazon Study Guide review – AWS Certified Machine Learning Specialty
This Amazon Study Guide review is a review of the official Amazon study guide to accompany the exam. The 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…
Pluralsight review – AWS Certified Machine Learning Specialty
Contains affiliate links. If you go to Pluralsight’s website and make a purchase I may receive a small payment. The purchase price to you will be unchanged. Thank you for your support. The AWS Certified Machine Learning Specialty learning path from Pluralsight has six high quality video courses taught by expert instructors. Two are introductory…
Whizlabs review – AWS Certified Machine Learning Specialty
Need more practice with the exams? Check out Whizlab’s free test with 15 questions. They also have three practice tests (65 questions each) and five section tests (10-15 questions each). Money off promo codes are below. For the AWS Certified Machine Learning Specialty Whizlabs provides a practice tests, a video course and hands-on labs. These…
