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NEW QUESTION: 1
HOTSPOT


Answer:
Explanation:

References:
https://technet.microsoft.com/en-us/library/hh974722(v=wps.630).aspx

NEW QUESTION: 2
Which ITIL guiding principle recommends using existing services, processes and tools when improving services?
A. Focus on value
B. Keep is simple and practical
C. Start where you are
D. Progress iteratively with feedback
Answer: C

NEW QUESTION: 3
Which TCP setting is tuned to minimize the risk of fragmentation on a GRE/IP tunnel?
A. Window size
B. MTU
C. MRU
D. MSS
Answer: D
Explanation:
Explanation
The TCP Maximum Segment Size (TCP MSS) defines the maximum amount of data that a host is willing to accept in a single TCP/IP datagram. This TCP/IP datagram might be fragmented at the IP layer. The MSS value is sent as a TCP header option only in TCP SYN segments. Each side of a TCP connection reports its MSS value to the other side. Contrary to popular belief, the MSS value is not negotiated between hosts. The sending host is required to limit the size of data in a single TCP segment to a value less than or equal to the MSS reported by the receiving host.
TCP MSS takes care of fragmentation at the two endpoints of a TCP connection, but it does not handle the case where there is a smaller MTU link in the middle between these two endpoints.
PMTUD was developed in order to avoid fragmentation in the path between the endpoints. It is used to dynamically determine the lowest MTU along the path from a packet's source to its destination.
Reference: http://www.cisco.com/c/en/us/support/docs/ip/generic-routing-encapsulationgre/
25885-pmtud-ipfrag.html (there is some examples of how TCP MSS avoids IP Fragmentation in this link but it is too long so if you want to read please visit this link) Note: IP fragmentation involves breaking a datagram into a number of pieces that can be reassembled later.

NEW QUESTION: 4
솔루션 아키텍트는 이미지 카탈로그에 액세스하고 이미지를 사용자 정의하기위한 요청을 제출할 수있는 기능을 제공하는 솔루션을 설계하고 있습니다. 이미지 사용자 정의 매개 변수는 요청에 따라 AWS API Gateway API로 전송됩니다. 사용자 정의 된 이미지는 요청시 생성됩니다. 사용자가 클릭하면 사용자 정의 된 이미지를 보거나 다운로드 할 수있는 링크가 제공됩니다. 이미지를보고 사용자 정의하려면 솔루션의 가용성이 높아야 합니다. 이러한 요구 사항을 충족하는 가장 비용 효율적인 솔루션은 무엇입니까?
A. AWS Lambda를 사용하여 원본 이미지를 요청 된 사용자 지정으로 조작 Amazon S3에 원본 이미지 및 Amazon DynamoDB에 조작 된 이미지 저장 Amazon EC2 인스턴스 앞에 Elastic Load Balancer 구성 D Amazon EC2 인스턴스를 사용하여 요청 된 사용자 지정에 원본 이미지 Amazon S3에 원본 이미지 저장 및 Amazon DynamoDB에 조작 된 이미지 저장 S3 버킷을 원본으로 사용하여 Amazon CloudFront 배포 구성
B. AWS Lambda를 사용하여 원본 이미지를 요청 된 사용자 지정으로 조작 Amazon S3에 원본 및 조작 된 이미지 저장 S3 버킷을 원본으로 사용하여 Amazon CloudFront 배포 구성
C. Amazon EC2 인스턴스를 사용하여 원본 이미지를 요청 된 사용자 지정으로 조작 Amazon S3에 원본 및 조작 된 이미지 저장 EC2 인스턴스 앞에 Elastic Load Balancer 구성
Answer: B
Explanation:
Explanation
AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS 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, code monitoring and logging. All you need to do is supply your code in one of the languages that AWS Lambda supports.
Storing your static content with S3 provides a lot of advantages. But to help optimize your application's performance and security while effectively managing cost, we recommend that you also set up Amazon CloudFront to work with your S3 bucket to serve and protect the content. CloudFront is a content delivery network (CDN) service that delivers static and dynamic web content, video streams, and APIs around the world, securely and at scale. By design, delivering data out of CloudFront can be more cost effective than delivering it from S3 directly to your users.
CloudFront serves content through a worldwide network of data centers called Edge Locations. Using edge servers to cache and serve content improves performance by providing content closer to where viewers are located. CloudFront has edge servers in locations all around the world
https://docs.aws.amazon.com/lambda/latest/dg/welcome.html
https://aws.amazon.com/blogs/networking-and-content-delivery/amazon-s3-amazon-cloudfront-a-match-made-in