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NEW QUESTION 21
You are automating the creation of EC2 instances in your VPC. Hence, you wrote a python script to trigger the Amazon EC2 API to request 50 EC2 instances in a single Availability Zone. However, you noticed that after 20 successful requests, subsequent requests failed.
What could be a reason for this issue and how would you resolve it?
Answer: A
Explanation:
You are limited to running On-Demand Instances per your vCPU-based On-Demand Instance limit, purchasing 20 Reserved Instances, and requesting Spot Instances per your dynamic Spot limit per region. New AWS accounts may start with limits that are lower than the limits described here.
If you need more instances, complete the Amazon EC2 limit increase request form with your use case, and your limit increase will be considered. Limit increases are tied to the region they were requested for.
Hence, the correct answer is: There is a vCPU-based On-Demand Instance limit per region which is why subsequent requests failed. Just submit the limit increase form to AWS and retry the failed requests once approved.
The option that says: There was an issue with the Amazon EC2 API. Just resend the requests and these will be provisioned successfully is incorrect because you are limited to running On-Demand Instances per your vCPU-based On-Demand Instance limit. There is also a limit of purchasing 20 Reserved Instances, and requesting Spot Instances per your dynamic Spot limit per region hence, there is no problem with the EC2 API.
The option that says: By default, AWS allows you to provision a maximum of 20 instances per region.
Select a different region and retry the failed request is incorrect. There is no need to select a different region since this limit can be increased after submitting a request form to AWS.
The option that says: By default, AWS allows you to provision a maximum of 20 instances per Availability Zone. Select a different Availability Zone and retry the failed request is incorrect because the vCPU- based On-Demand Instance limit is set per region and not per Availability Zone. This can be increased after submitting a request form to AWS.
References:
https://docs.aws.amazon.com/general/latest/gr/aws_service_limits.html#limits_ec2
https://aws.amazon.com/ec2/faqs/#How_many_instances_can_I_run_in_Amazon_EC2 Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/
NEW QUESTION 22
A company is developing a file-sharing application that will use an Amazon S3 bucket for storage. The company wants to serve all the files through an Amazon CloudFront distribution. The company does not want the files to be accessible through direct navigation to the S3 URL.
What should a solutions architect do to meet these requirements?
Answer: D
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/cloudfront-access-to-amazon-s3/
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-access-to-s3.html#private-content-restricting-access-to-s3-overview
NEW QUESTION 23
An automotive company is working on an autonomous vehicle development and deployment project using AWS. The solution requires High Performance Computing (HPC) in order to collect, store and manage massive amounts of data as well as to support deep learning frameworks. The Linux EC2 instances that will be used should have a lower latency and higher throughput than the TCP transport traditionally used in cloud-based HPC systems. It should also enhance the performance of inter-instance communication and must include an OS-bypass functionality to allow the HPC to communicate directly with the network interface hardware to provide low-latency, reliable transport functionality.
Which of the following is the MOST suitable solution that you should implement to achieve the above requirements?
Answer: D
Explanation:
An Elastic Fabric Adapter (EFA) is a network device that you can attach to your Amazon EC2 instance to accelerate High Performance Computing (HPC) and machine learning applications. EFA enables you to achieve the application performance of an on-premises HPC cluster, with the scalability, flexibility, and elasticity provided by the AWS Cloud.
EFA provides lower and more consistent latency and higher throughput than the TCP transport traditionally used in cloud-based HPC systems. It enhances the performance of inter-instance communication that is critical for scaling HPC and machine learning applications. It is optimized to work on the existing AWS network infrastructure and it can scale depending on application requirements. EFA integrates with Libfabric 1.9.0 and it supports Open MPI 4.0.2 and Intel MPI 2019 Update 6 for HPC applications, and Nvidia Collective Communications Library (NCCL) for machine learning applications.
The OS-bypass capabilities of EFAs are not supported on Windows instances. If you attach an EFA to a Windows instance, the instance functions as an Elastic Network Adapter, without the added EFA capabilities.
Elastic Network Adapters (ENAs) provide traditional IP networking features that are required to support VPC networking. EFAs provide all of the same traditional IP networking features as ENAs, and they also support OS-bypass capabilities. OS-bypass enables HPC and machine learning applications to bypass the operating system kernel and to communicate directly with the EFA device.
Hence, the correct answer is to attach an Elastic Fabric Adapter (EFA) on each Amazon EC2 instance to accelerate High Performance Computing (HPC).
Attaching an Elastic Network Adapter (ENA) on each Amazon EC2 instance to accelerate High Performance Computing (HPC) is incorrect because Elastic Network Adapter (ENA) doesn't have OS- bypass capabilities, unlike EFA.
Attaching an Elastic Network Interface (ENI) on each Amazon EC2 instance to accelerate High Performance Computing (HPC) is incorrect because an Elastic Network Interface (ENI) is simply a logical networking component in a VPC that represents a virtual network card. It doesn't have OS-bypass capabilities that allow the HPC to communicate directly with the network interface hardware to provide low-latency, reliable transport functionality.
Attaching a Private Virtual Interface (VIF) on each Amazon EC2 instance to accelerate High Performance Computing (HPC) is incorrect because Private Virtual Interface just allows you to connect to your VPC resources on your private IP address or endpoint. References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/efa.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/enhanced-networking-ena Check out this Elastic Fabric Adapter (EFA) Cheat Sheet: https://tutorialsdojo.com/elastic-fabric-adapter-efa/
NEW QUESTION 24
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