A photograph showing gingerbread men being cut out with a cookie cutter to symbolize selecting a SageMaker built-in algorithm for an appropriate problem

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 / dataSupervisedUnsupervisedTextImages
Number of algorithms5543
This table shows the number of SageMaker built-in algorithms in each main paradigms / data processed groups.

The table below shows SageMaker built-in algorithms listed in alphabetical order with their paradigm or the data type they process.

Algorithm nameParadigm / data type processed
Blazing TextText
Deep AR ForecastingSupervised
Factorization MachinesSupervised
Image ClassificationImage
IP InsightsUnsupervised
K-MeansUnsupervised
K-Nearest Neighbor (K-NN)Supervised
Latent Dirichlet Allocation (LDA)Text
Linear LearnerSupervised
Neural Topic Model (NTM)Text
Object DetectionImage
Object2vecUnsupervised
Principal Component Analysis (PCA)Unsupervised
Random Cut Forest (RCF)Unsupervised
Semantic SegmentationImage
Sequence-to-sequenceText
XGBoostSupervised
Each link will take you to the Study Guide for that SageMaker built-in algorithm.

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.

16
Created on By Michael Stainsbury

3.2 Matching algorithms to uses

Exam cram Q & A for choosing a SageMaker built-in algorithm based on what it is used for.

1 / 18

2 / 18

What are the Image processing algorithms?

3 / 18

Which algorithms that process tabular data?

4 / 18

What are the Supervised SageMaker built in algorithms (not text or image processing)?

5 / 18

What are the Unsupervised SageMaker built in algorithms (not text or image processing)?

6 / 18

What are the SageMaker built in algorithms that use Classification or Regression?

7 / 18

What are the two SageMaker built in algorithms that can be used for Anomaly Detection?

8 / 18

What are the SageMaker built in algorithms that can be used for Embedding?

9 / 18

What are the SageMaker built in algorithms that can be used in Recommendation Systems?

10 / 18

Which SageMaker built in algorithm can be used for Text Classification problems?

11 / 18

Which SageMaker built in algorithm can be used for Time-series Forecasting problems?

12 / 18

Which SageMaker built in algorithm can be used for image and multi-label classification?

13 / 18

Which SageMaker built in algorithm can be used for IP anomaly detection?

14 / 18

Which two SageMaker built in algorithms can be used for Topic modeling?

15 / 18

Which SageMaker built in algorithm can be used for detecting things in images and classifying them?

16 / 18

Which SageMaker built in algorithm can be used for dimensionality reduction in Feature Engineering?

17 / 18

Which SageMaker built in algorithm can be used for computer vision?

18 / 18

Which SageMaker built in algorithm can be used for Machine Translation?

Your score is

The average score is 56%

0%

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.

8
Created on By Michael Stainsbury

3.2 Matching uses to algorithms

Exam cram Q & A for identifying uses for a SageMaker built-in algorithm.

1 / 17

What can Blazing Text do, or be used for?

2 / 17

What can the DeepAR Forecasting algorithm do, or be used for?

3 / 17

What can the Factorization Machines algorithm do, or be used for?

4 / 17

What can the Image Classification algorithm do, or be used for?

5 / 17

What can the IP Insights algorithm do, or be used for?

6 / 17

What can the K-Means algorithm do, or be used for?

7 / 17

What can the LDA algorithm do, or be used for?

8 / 17

What can the NTM algorithm do, or be used for?

9 / 17

What can the Sequence-to-Sequence algorithm do, or be used for?

10 / 17

What can the Semantic Segmentation algorithm do, or be used for?

11 / 17

What can the Object Detection algorithm do, or be used for?

12 / 17

What can the K-Nearest Neighbors algorithm do, or be used for?

13 / 17

What can the Linear Learner algorithm do, or be used for?

14 / 17

What can the XGBoost algorithm do, or be used for?

15 / 17

What can the Object2Vec algorithm do, or be used for?

16 / 17

What can the Principal Component Analysis (PCA) algorithm do, or be used for?

17 / 17

What can the Random Cut Forest (RCF) algorithm do, or be used for?

Your score is

The average score is 44%

0%


Amazon Study Guide for the AWS Machine Learning Speciality exam
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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 AWS Certified Machine Learning web page screen shot
Reviews
Pluralsight review – AWS Certified Machine Learning Specialty

Contains affiliate links. If you go to Whizlab’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…


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