Compute Technology Flashcards

1
Q

Text-to-speech service that uses advanced deep learning technologies to synthesize natural-sounding human speech
-used to create applications that talk, such as chatbots, e-learning platforms, and telephony systems

A

Amazon Polly

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2
Q

An automatic speech recognition (ASR) service that converts speech to text
It can transcribe audio files stored in Amazon S3 or transcribe live audio streams

Useful for applications like customer call analytics, media analysis, and improving accessibility.

A

Amazon Transcribe

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3
Q

A machine learning service that automatically extracts text, handwriting, and data from scanned documents
-It goes beyond simple optical character recognition (OCR) by identifying and extracting specific data from documents, such as forms and tables
-ideal for processing invoices, receipts, and other documents with structured data.

A

Amazon Textract

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4
Q

A neural machine translation service that provides accurate and natural-sounding translations
-It supports batch and real-time translations and can be integrated into applications to enable multilingual user experiences6
-Useful for translating company-authored content, customer communications, and more.

A

Amazon Translate

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5
Q

Service that enables instances in a private subnet to connect to the internet or other AWS services while preventing the internet from initiating connections to those instances
-used to provide outbound internet access to resources in private subnets

A

Network Address Translation (NAT) Gateway

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6
Q

A service that helps you model and set up your AWS resources so you can spend less time managing those resources and more time focusing on your applications

You create a template that describes all the AWS resources you want, and it provisions and configures those resources for you

A

AWS CloudFormation

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7
Q

A service for deploying and scaling web applications and services

A

AWS Elastic Beanstalk

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8
Q

It simplifies the process of managing applications without worrying about the underlying infrastructure

You upload your application code, and it automatically handles the deployment details, such as capacity provisioning, load balancing, and auto scaling

A

AWS Elastic Beanstalk

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9
Q

A data transport solution that uses secure appliances to transfer large amounts of data into and out of the AWS cloud

It’s ideal for moving terabytes or petabytes of data efficiently and securely.

A

AWS Snowball

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10
Q

An exabyte-scale data transport solution that uses a rugged, secure, and portable data center to transfer extremely large amounts of data to AWS

-It’s designed for data migrations, disaster recovery, and other large-scale data transfer needs.

A

AWS SnowMobile

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11
Q

A small, rugged, and secure edge computing device that can be used to collect, process, and transfer data in remote locations

It’s ideal for data collection in environments where connectivity is limited or unreliable.

A

AWS SnowCone

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12
Q

An open-source edge runtime and cloud service that helps you build, deploy, and manage IoT applications on your devices

-it allows devices to act locally on the data they generate, run machine learning models, and communicate securely with AWS IoT Core

A

AWS IoT Greengrass

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13
Q

A service that helps you register, organize, monitor, and remotely manage IoT devices at scale

It integrates with AWS IoT Core to easily connect devices to the cloud and manage them remotely

A

AWS IoT Device Management

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14
Q

A monitoring and management service that provides data and actionable insights for AWS resources and applications

It collects and tracks metrics, monitors log files, sets alarms, and automatically reacts to changes in your AWS resources

A

Amazon CloudWatch

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15
Q

A tool that allows you to visualize, understand, and manage your AWS costs and usage over time

It provides preconfigured views, filtering and grouping options, and cost and usage forecasts to help you analyze and optimize your spending

A

AWS Cost Explorer

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16
Q

A fully managed service that enables data scientists and developers to build, train, and deploy machine learning models

It provides tools for building, debugging, and deploying models, as well as managing machine learning workflows

A

AWS SageMaker

17
Q

A service for building conversational interfaces using voice and text.

It powers the Amazon Alexa virtual assistant and allows developers to create sophisticated chatbots and voice interfaces for applications

18
Q

A serverless data integration service that makes it easy to discover, prepare, move, and integrate data from multiple sources

It supports ETL (extract, transform, load) jobs, data cataloging, and data transformation11

19
Q

A cloud-based big data platform that helps you process large amounts of data quickly and cost-effectively

It supports popular big data frameworks like Apache Hadoop and Spark, and it’s used for data processing, machine learning, and analytics.

A

AWS EMR (Elastic MapReduce)

20
Q

A service that simplifies and accelerates the transfer of files between on-premises environments and AWS storage services

It supports secure file transfers using SFTP, FTPS, and FTP protocols.

A

AWS Transfer Family

21
Q

A cloud-based contact center service that makes it easy to set up and manage a customer contact center and provide reliable customer engagement

It offers features like call routing, interactive voice response (IVR), and real-time analytics.

A

AWS Connect

22
Q

An online integrated development environment (IDE) that lets you write, run, and debug code with just a browser, making it easier to collaborate on code

A

AWS Cloud9

23
Q

Automates code deployments to various AWS services like EC2, Lambda, and ECS

A

AWS CodeDeploy

24
Q

A continuous integration and continuous delivery (CI/CD) service that automates the build, test, and deployment phases of your release process

It allows you to model, visualize, and automate the steps required to release your software

A

AWS CodePipeline

25
Q

Allows you to model and provision AWS resources using code, enabling consistent and repeatable infrastructure deployments

A

CloudFormation

26
Q

a service that helps developers analyze and debug distributed applications. It provides detailed visibility into the request and event flow of your applications, allowing you to identify performance bottlenecks, errors, and latency issues

27
Q

fully managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images

A

Amazon Elastic Container Registry (ECR)

28
Q

fully managed service that makes it easy to launch and run high-performance file systems in the cloud. It handles tasks like provisioning hardware, configuring software, and taking backups, allowing you to focus on your applications

A

Amazon FSx (Amazon File Storage)

29
Q

fully managed business intelligence (BI) service provided by AWS. It allows you to create and deliver interactive dashboards and visualizations to gain insights from your data

A

Amazon QuickSight

30
Q

fully managed, in-memory data store and cache service that improves the performance of web applications by allowing you to retrieve information from managed in-memory caches instead of relying entirely on slower disk-based databases. It supports two open-source in-memory engines: Memcached and Redis

A

AWS ElastiCache

31
Q

Advanced key-value store that functions as a cache, database, and message broker.
Used for real-time analytics, session storage, message queues, leaderboards.

32
Q

General-purpose distributed memory caching system.
Used for caching results of database queries, session data, or any type of temporary data.

33
Q

an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. It’s serverless, so there’s no infrastructure to manage, and you only pay for the queries you run

A

AWS Athena

34
Q

a suite of services for processing and analyzing real-time streaming data at scale.

A

AWS Kinesis

35
Q

Collects and processes large streams of data records in real time

A

Kinesis Data Streams

36
Q

Simplifies the process of loading streaming data into data stores and analytics tools.

A

Kinesis Data Firehose

37
Q

Captures, processes, and stores video streams for analytics and machine learning

A

Kinesis Video Streams

38
Q

Allows you to analyze streaming data in real time with SQL or Apache Flink

A

Kinesis Data Analytics