A company is operating several factories where it builds products. The company needs the ability to process data, store data, and run applications with local system interdependencies that require low latency.
Which AWS service should the company use to meet these requirements?
The company should use AWS Outposts to meet the requirements of processing data, storing data, and running applications with local system interdependencies that require low latency. AWS Outposts is a fully managed service that extends AWS infrastructure and services to on-premises locations for a consistent hybrid experience. By bringing AWS services to their local environments, the company can achieve low-latency interactions for their applications and systems, which is essential for integrated factory operations.
it says... " ...local system interdependencies that require low latency..." ==> C
A. No because IoT Greengrass doesn't handle storage. B. Yes because Lambda can offer double-digit millisecond latency when Provisioned Concurrency is enabled. Generally, double-digit latency is considered 'low' and the question should have clarified what it considers 'low.' This allows you to meet your needs and still utilize all of the redundancy and other features built into the cloud. C. No. Yes, this meets their needs, too, but it adds layers of complexity (and failure domains) that Lambda doesn't have to contend with. Kind of like buying a Mercedes G Wagon (Outpost) to go to a friends house down the street instead of buying a bike (Lambda). D. No because it only handles storage.
But the question doesn't state that it requests something least complex . . .
shouldn't that be common sense when you provide solution to a client?
well lambda is simpler but doesnt fulfill all the requirements.. storage for instance.
well lambda is simpler but doesnt fulfill all the requirements.. storage for instance.
shouldn't that be common sense when you provide solution to a client?
well lambda is simpler but doesnt fulfill all the requirements.. storage for instance.
How can you store data with lambda ? Requirement included storing data
well lambda is simpler but doesnt fulfill all the requirements.. storage for instance.
Lambda does not offer low latency.
The AWS service that the company should use to meet these requirements is C. AWS Outposts. AWS Outposts is a fully-managed service that extends AWS infrastructure, services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. With AWS Outposts, the company can run AWS services locally, including compute, storage, database, and analytics, while seamlessly connecting to AWS services in the cloud. This means that the company can process data, store data, and run applications with local system interdependencies that require low latency using AWS Outposts, which is located within their own datacenters or facilities. With AWS Outposts, the company can avoid the latency and data transfer costs that come with using cloud services located far away from their factories.
I am thinking about D. Since AWS claims "Snowball Edge Compute Optimized devices provide 52 vCPUs, block and object storage, and an optional GPU for use cases like advanced machine learning and full motion video analysis in disconnected environments. You can use these devices for data collection, machine learning and processing, and storage in environments with intermittent connectivity (like manufacturing, industrial, and transportation) or in extremely remote locations (like military or maritime operations) before shipping them back to AWS."
yes but it speaks about low latency so AWS outpost. Snowball Edge is for where you don't have internet connection or low bandwidth. So Low latency can't be achieved if you dont have good internet connection.
https://d1.awsstatic.com/product-marketing/Outposts/TrulyConsistentHybridCloud.pdf This document will answer this question
With AWS Outposts, you can run some AWS services locally and connect to a broad range of services available in the local AWS Region. Run applications and workloads on premises using familiar AWS services, tools, and APIs. Outposts supports workloads and devices requiring low latency access to on-premises systems, local data processing, data residency, and application migration with local system interdependencies.
C: Outposts "By providing local access to AWS managed infrastructure, AWS Outposts enables customers to build and run applications on premises using the same programming interfaces as in AWS Regions, while using local compute and storage resources for lower latency and local data processing needs." https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html
How can you "store data" with Lambda? I don't know.. I believe is Outpost.
Also how lambda helps low latency?
Outposts - is for on-premises local system
C - Outposts is designed to provide the same APIs, control plane, and hardware as the AWS cloud, but with the ability to run workloads on-premises. This can be useful for applications that require low latency or local system interdependencies, as it allows you to keep your data and applications close to your users and processes.
C is the answer.
Sure answer is C
C. AWS Outposts: AWS Outposts brings AWS infrastructure and services to a company's on-premises data centers or co-location facilities. It allows the company to run AWS services locally on Outposts with the same APIs, tools, and hardware as in the AWS Cloud. With AWS Outposts, the company can process data, store data, and run applications on-premises while still benefiting from the AWS ecosystem and services.
"Local system" => Outposts
Why not C？
I thought it was C as well.
C is the right answer
Answer is C.
Everyone is saying C with no explanation. I personally think it’s Lamba because it’s code. The question asks for low latency
C not B !! AWS Outposts is a fully managed service that extends AWS infrastructure, services, APIs, and tools to customer premises. By providing local access to AWS managed infrastructure, AWS Outposts enables customers to build and run applications on premises using the same programming interfaces as in AWS Regions, while using local compute and storage resources for lower latency and local data processing needs.
https://aws.amazon.com/outposts/ Outposts supports workloads and devices requiring low latency access to on-premises systems, local data processing, data residency, and application migration with local system interdependencies.
Answer is B, look at the keyword "with local system interdependencies" this is offered Lamda.
What about low latency?
this lookscorrect
local system
answer C
Lambda? really? AWS Outposts is the way
sure answer c
C. AWS Outposts
Naaabj hbhb
BECAUSE IT'S LOCAL
Should be C
C for sure
Of course Outposts
C would be correct
I thought it was C as well.
Vote for A https://aws.amazon.com/greengrass/ https://docs.aws.amazon.com/greengrass/v1/developerguide/what-is-gg.html AWS IoT Greengrass is an Internet of Things (IoT) open source edge runtime and cloud service that helps you build, deploy, and manage device software. Customers use AWS IoT Greengrass for their IoT applications on millions of devices in homes, factories, vehicles, and businesses.
Vote for B Lambda is a compute service that lets you run code without provisioning or managing servers. Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, and logging. With Lambda, you can run code for virtually any type of application or backend service
Why can't the factory be working with the Cloud? it could be using Lambdas to do the job no?
B ......AWS Outposts is a fully managed service that extends AWS infrastructure, services, APIs, and tools to customer premises. By providing local access to AWS managed infrastructure, AWS Outposts enables customers to build and run applications on premises using the same programming interfaces as in AWS Regions, while using local compute and storage resources for lower latency and local data processing needs.
I think it should be "B" because of the term "local interdependencies"
The keyword in the question to choose Outposts is "low latency". The data and processing have to be the closest possible to the factory.
Lambda can offer double-digit millisecond latency
C : Because its running on-premise workloads as well
Vote for C.
C is correct.
why not A
AWS IoT Greengrass (option A) is a service that enables you to run AWS Lambda functions and keep device data in sync with the cloud, even when the devices are offline. It is not designed for use cases that require low latency and local system interdependencies.
A - edge computing. No B - Serverless computing. No C - extend AWS infra to on-premise for a hybrid experience D - data transfer device Answer: C
https://d1.awsstatic.com/product-marketing/Outposts/TrulyConsistentHybridCloud.pdf
local system interdependencies ==> C
I Think AWS Lambda why because of in lambda ,we can write , read , store and run our code application with less cost .
AWS Outposts
AWS Outposts
AWS IoT Greengrass: Best suited for low-latency, local data processing, and handling interdependencies in edge environments such as factories. AWS Outposts: More for hybrid cloud solutions that extend AWS services to on-premises data centers but not specifically designed for local low-latency processing at the edge.