AWS Artificial Intelligence, Machine Learning, and Analytics Technology and Services Flashcards

1
Q

Rekognition

A

Allows you to automate your image and video analysis

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2
Q

Comprehend

A

Natural-language processing (NLP) service that finds relationships in text

  • discover insights, meanings and connections in your text data
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3
Q

Polly

A

Turns text into speech

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4
Q

SageMaker

A

Helps you build, train, and deploy machine learning models quickly

Example use case:

  • recommendation engine: recommends products based on customer purchase history
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5
Q

Translate

A

Provides language translation

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6
Q

Lex

A

Helps you build conversational interfaces in your applications using natural language models

  • chat bot
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7
Q

Kendra

A

Intelligent search service that helps organizations easily search and discover information across various data sources

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8
Q

Textract

A

Extracts information from documents using advanced OCR (Optical character recognition)

  • Automated ID processing
  • Analyzing invoices
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9
Q

Transcribe

A

Speech-to-text service

  • streamed audio
  • audio files
  • subtitles or meeting notes
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10
Q

Amazon Forecast

A
  • time series forecasting service
  • uses machine learning for business metrics analysis
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11
Q

Amazon DevOps Guru

A
  • cloud operations service for improving application operational performance and availability
  • detect behaviors that deviate from normal operating patterns

Benefits:

  • automatically detect operational issues
  • resolve issues with machine learning- powered insights
  • elastically scale operational analytics
  • uses machine learning to reduce alarm noise
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12
Q

Redshift

A

Scalable data warehouse solution

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13
Q

Athena

A

Query service for Amazon S3

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14
Q

Glue

A

Extract, transform, load (ETL) service that prepare your data for analytics

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15
Q

Kinesis

A

Allows you to analyze data and video streams in real time

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16
Q

Elastic MapReduce (EMR)

A

Web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data.

  • utilizes hosted Hadoop framework running on Amazon EC2 and Amazon S3
  • Apache Hadoop, Apache Spark, Hive and Presto
17
Q

Data Pipeline

A

helps to move data between computer and storage services running either on AWS or on-premises

  • moves data at specific intervals
  • based on conditions
  • send notifications on success and failure
18
Q

QuickSight

A

Helps you visualize your data

  • build interactive dashboards
  • embed dashboards in your applications
19
Q

Amazon Elasticsearch/OpenSearch

A

Open-source data analysis technology enabling you to get real-time insights from your data

-analyze business data to gain insights and make better decisions
- involved with operational analytics such as application monitoring, log analytics and clickstream analytics.
- search operation infrastructure and security logs to understand how your systems are operating

20
Q

Apache Kafka

A

distributed streaming platform that allows you to publish, subscribe to, store and process data streams in real time

21
Q

Amazon MSK for Apache Kafka

A

Fully managed Apache Kafka

Use case:

  • track and analyze stock market data in real-time
22
Q

AWS Data Exchange

A

Allows customers to find, subscribe to, and use third-party data in the cloud

23
Q

AWS Amplify

A

A set of tools and services that can be used to build scalable full-stack apps powered by AWS

  • supports real-time functionalities and offline operations
24
Q

AWS AppSync

A

Fully managed service that simplifies the development of scalable and secure GraphQL APIs, enabling real-time data synchronization and offline capabilities for mobile and web applications