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NEW QUESTION: 1
A wireless engineer completes a site survey for a company. Which three items are included in the site survey report? (Choose three.)
A. RRM recommendations for the WLC
B. the Cisco IOS version of Cisco Prime Infrastructure
C. the survey path walked by the engineer
D. pictures if the access point locations
E. websites that users will visit on a daily basis
F. the heat maps captured by the survey
Answer: A,E,F

NEW QUESTION: 2
한 회사가 온 프레미스에서 정적 웹 사이트를 호스팅하고 웹 사이트를 AWS로 마이그레이션하려고합니다. 웹 사이트는 전 세계 사용자에게 가능한 한 빨리로드되어야합니다. 회사는 또한 가장 비용 효율적인 솔루션을 원합니다. 솔루션 설계자는이를 수행하기 위해 무엇을해야합니까?
A. Apache HTTP Server를 실행하는 Amazon EBS 지원 Amazon EC2 인스턴스에 웹 사이트 콘텐츠 복사 Amazon Route 53 지리적 위치 라우팅 정책을 구성하여 가장 가까운 출처를 선택합니다.
B. 웹 사이트 콘텐츠를 여러 AWS 리전에서 Apache HTTP Server를 실행하는 여러 Amazon EBS 지원 Amazon EC2 인스턴스에 복사 가장 가까운 오리진을 선택하도록 Amazon CloudFront 지리적 위치 라우팅 정책을 구성합니다. Amazon CloudFront 란 무엇입니까?
C. 웹 사이트 콘텐츠를 Amazon S3 버킷에 복사 정적 웹 페이지 콘텐츠를 제공하도록 버킷 구성 S3 버킷을 여러 AWS 리전에 복제
D. 웹 사이트 콘텐츠를 Amazon S3 버킷에 복사 정적 웹 페이지 콘텐츠를 제공하도록 버킷 구성 S3 버킷을 오리진으로 사용하여 Amazon CloudFront 구성
Answer: D
Explanation:
Amazon CloudFront is a web service that speeds up distribution of your static and dynamic web content, such as .html, .css, .js, and image files, to your users. CloudFront delivers your content through a worldwide network of data centers called edge locations. When a user requests content that you're serving with CloudFront, the user is routed to the edge location that provides the lowest latency (time delay), so that content is delivered with the best possible performance.
Using Amazon S3 Buckets for Your Origin
When you use Amazon S3 as an origin for your distribution, you place any objects that you want CloudFront to deliver in an Amazon S3 bucket. You can use any method that is supported by Amazon S3 to get your objects into Amazon S3, for example, the Amazon S3 console or API, or a third-party tool. You can create a hierarchy in your bucket to store the objects, just as you would with any other Amazon S3 bucket.
Using an existing Amazon S3 bucket as your CloudFront origin server doesn't change the bucket in any way; you can still use it as you normally would to store and access Amazon S3 objects at the standard Amazon S3 price. You incur regular Amazon S3 charges for storing the objects in the bucket.
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/Introduction.html
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/DownloadDistS3AndCustomOrigins.html

NEW QUESTION: 3
A security professional is analyzing the results of a network utilization report. The report includes the
following information:

Which of the following servers needs further investigation?
A. mrktg.file.srvr.02
B. hr.dbprod.01
C. web.srvr.03
D. R&D.file.srvr.01
Answer: B
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
A solutions architect is designing the cloud architecture for a new application being deployed on AWS The process should run in parallel while adding and removing application nodes as needed based on the number of jobs to be processed The processor application is stateless The solutions architect must ensure that the application is loosely coupled and the job items are durably stored Which design should the solutions architect use?
A. Create an Amazon SQS queue to hold the jobs that needs to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue
B. Create an Amazon SQS queue to hold the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage
C. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of messages published to the SNS topic.
D. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage
Answer: A
Explanation:
Amazon Simple Queue Service
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.
SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.
Scaling Based on Amazon SQS
There are some scenarios where you might think about scaling in response to activity in an Amazon SQS queue. For example, suppose that you have a web app that lets users upload images and use them online. In this scenario, each image requires resizing and encoding before it can be published. The app runs on EC2 instances in an Auto Scaling group, and it's configured to handle your typical upload rates. Unhealthy instances are terminated and replaced to maintain current instance levels at all times. The app places the raw bitmap data of the images in an SQS queue for processing. It processes the images and then publishes the processed images where they can be viewed by users. The architecture for this scenario works well if the number of image uploads doesn't vary over time. But if the number of uploads changes over time, you might consider using dynamic scaling to scale the capacity of your Auto Scaling group.
https://aws.amazon.com/sqs/#:~:text=Amazon%20SQS%20leverages%20the%20AWS,queues%20provide%20nearly%20unlimited%20throughput.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html