Machine Learning

Question 1

A machine learning service which makes it easy to build the workflows required for human review, the AWS service that brings human review to all developer

Answer 1

Amazon Augmented AI

Question 2

Developer tool that provides intelligent recommendations to improve code quality and identify an application’s most expensive lines of code

Answer 2

Amazon CodeGuru

USE CASE: uses machine learning and automated reasoning to identify critical issues, security vulnerabilities, and hard-to-find bugs during application development and provides recommendations to
improve code quality

Question 3

A natural language processing (NLP) service that uses machine learning to find insights and relationships in a text in your unstructured data.

Answer 3

Amazon Comprehend

USE CASE: identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale.

Question 4

AWS Service which is used in extracting complex medical information from unstructured text. The service can identify medical information, such as medical conditions, medications, dosages, strengths, and frequencies from a variety of sources like doctor’s notes, clinical trial reports, and patient health records.

Answer 4

Amazon Comprehend Medical

Question 5

Machine Learning (ML) powered service that makes it easy to improve an application’s operational performance and availability, detects behaviors that deviate from normal operating patterns so you can identify operational issues long before they impact your
customers.

Answer 5

Amazon DevOps Guru

Question 6

Allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%.

Answer 6

Amazon Elastic Inference

Question 7

In most deep learning applications, what is the term for making predictions using a trained model

Answer 7

Inference

Question 8

A fully managed service that uses machine learning to deliver highly accurate forecasts

Answer 8

Amazon Forecast

USE CASE: For example, the demand for a particular color of a shirt may change with the seasons and store location. This complex relationship is hard to determine on its own, but machine learning is ideally suited to recognize it. Once you provide your data, Amazon Forecast will automatically examine it, identify what is meaningful, and produce a forecasting model capable of making predictions that are up to 50% more accurate than looking at time series data alone.

Question 9

Fully managed service that uses machine learning (ML) and more than 20 years of fraud detection expertise from Amazon, to identify potentially fraudulent activity so customers can catch more online fraud faster.

Answer 9

Amazon Fraud Detector

Question 10

HIPAA-eligible service that healthcare providers, health insurance companies, and pharmaceutical companies can use to store, transform, query, and analyze large-scale health data

Answer 10

Amazon HealthLake

USE CASE: You can analyze unstructured clinical text from diverse sources. HealthLake transforms unstructured data using natural language processing (NLP) models, and provides powerful query and search capabilities. You can use HealthLake to organize, index, and structure patient information in a secure, compliant, and auditable manner

Question 11

An intelligent search service powered by machine learning. Reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization.

Answer 11

Amazon Kendra

Question 12

A service for building conversational interfaces into any application using voice and text. Provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational
interactions

Answer 12

Amazon Lex

USE CASE: The same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language,
conversational bots (“chatbots”)

Question 13

Analyzes the data from the sensors on your equipment (e.g. pressure in a generator, flow rate of a compressor, revolutions per minute of fans), to automatically train a machine learning model based on just your data, for your equipment

Answer 13

Amazon Lookout for Equipment

Use case: Uses your unique ML model to analyze incoming sensor data in real-time and accurately identify early warning signs that could lead to machine failures. This means you can detect equipment abnormalities with speed and precision, quickly diagnose issues, take action to reduce expensive downtime, and reduce false alerts

Question 14

Uses machine learning (ML) to automatically detect and diagnose anomalies (i.e. outliers from the norm) in business and operational data, such as a sudden dip in sales revenue or customer acquisition rates.

Answer 14

Amazon Lookout for Metrics

Question 15

A machine learning (ML) service that spots defects and anomalies in visual representations using computer vision (CV), uses ML to see and understand images from any camera as a person would, but with an even higher degree of accuracy and at a much larger
scale.

Answer 15

Amazon Lookout for Vision

Question 16

An end-to-end system that uses machine learning (ML) to detect abnormal behavior in industrial machinery, enabling you to implement predictive maintenance and reduce unplanned
downtime. It includes sensors to capture vibration and temperature data from equipment.

Answer 16

Amazon Monitron

Question 17

A machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.

Answer 17

Amazon Personalize

USE CASE: you provide an activity stream from your application – page views, signups, purchases, and so forth – as well as an inventory of the items you want to recommend, such as
articles, products, videos, or music. Its ;ike having your own Amazon.com machine learning personalization team at your disposal, 24 hours a day

Question 18

Service that turns text into lifelike speech (text-to-Speech). Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products

Answer 18

Amazon Polly

Use case: You can cache and save Polly’s speech audio to replay offline or redistribute. And Polly is easy to use. You simply send the text you want to be converted into speech to the Polly API, and Polly immediately returns the audio stream to your application so your application can play it directly or store it in a standard audio file format, such as MP3

Question 19

Makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use.

Answer 19

Amazon Rekognition

Use case: you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content

Question 20

Fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. It also includes modules that can be used together or independently to build, train, and deploy your machine learning models.

Answer 20

Amazon SageMaker

Question 21

Service which helps you build highly accurate training datasets for machine learning quickly. It offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling task

It can also lower your labeling costs by up to 70% using automatic labeling, which works by training it from data labeled by humans so that the service learns to label data independently.

Answer 21

Amazon SageMaker Ground Truth

Question 22

A service that automatically extracts text and data from scanned documents, it uses machine learning to instantly “read” virtually any type of document to accurately extract text and data without the need for any manual effort or custom code.

Answer 22

Amazon Textract

Question 23

An automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. You can analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech

Answer 23

Amazon Transcribe

Question 24

Neural machine translation service that delivers fast, high-quality, and affordable language translation.

Answer 24

Amazon Translate

Question 25

A fast and scalable training and inference framework with an easy-to-use, concise API for machine learning.

It also includes the ______ interface that allows developers of all skill levels to get started with deep learning on the cloud, on edge devices, and on mobile apps.-

Answer 25

Apache MXNet on AWS

Gluon interface

Question 26

Provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale

Answer 26

AWS Deep Learning AMIs

Question 27

World’s first musical keyboard powered by machine learning to enable developers of all skill levels to learn Generative AI while creating original music outputs, consists of a USB keyboard

Answer 27

AWS DeepComposer

Question 28

Helps put deep learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

Answer 28

AWS DeepLens

Question 29

A 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL)

Answer 29

AWS DeepRacer

Question 30

Machine learning inference chip designed to deliver high performance at low cost.

Answer 30

AWS Inferentia

USE CASE: Developers can reduce inference costs by up to 75% by attaching GPU-powered inference acceleration to Amazon EC2 and SageMaker instances.

Question 31

Enables developers to quickly and easily get started with deep learning in the cloud

Answer 31

TensorFlow on AWS