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NEW QUESTION: 1
Which two options are two functions of the data center access layer? (Choose two.)
A. VLAN creation
B. server connections
C. high data transfer rate
D. high network fault tolerance
E. QoS policy enforcement
F. packet filtering
Answer: A,B

NEW QUESTION: 2
Auto Scalingの設定中に、ユーザーはどの画面でアベイラビリティーゾーンを選択しますか？
A. Auto Scalingポリシーの作成
B. Auto Scalingインスタンスの作成
C. Auto Scalingグループの作成
D. Auto Scaling起動構成の作成
Answer: C
Explanation:
説明
Auto Scalingグループをリージョン内の複数のアベイラビリティーゾーンにスパンし、ロードバランサーを接続して受信トラフィックをそれらのアベイラビリティーゾーンに分散することにより、地理的冗長性の安全性と信頼性を活用できます。受信トラフィックは、ロードバランサーが有効になっているすべてのアベイラビリティーゾーンに均等に分散されます。
参照：

NEW QUESTION: 3
A company has a web application that allows users to upload short videos. The videos are stored on Amazon EBS volumes and analyzed by custom recognition software for categorization.
The website contains static content that has variable traffic with peaks in certain months. The architecture consists of Amazon EC2 instances running in an Auto Scaling group for the web application and EC2 instances running in an Auto Scaling group to process an Amazon SQS-queue. The company wants to re-architect the application to reduce operational overhead using AWS managed services where possible and remove dependencies on third-party software.
Which solution meets these requirements?
A. Hosts the web application in Amazon S3. Store the uploaded videos in Amazon S3. Use S3 event notification to publish events to the SQS queue. Process the SQS queue with an AWS Lambda function that call the Amazon Rekognition API to categorize the videos.
B. Use AWS Elastic Beanstalk to launch EC2 instances in an Auto Scaling group for the application and launch a worker environment to process the SQS queue. Replace the custom software with Amazon Rekognition to categories the videos.
C. Use Amazon ECS containers for the web application and Spot instances for the Scaling group that processes the SQS queue. Replace the custom software with Amazon Rekognition to categorize the videos.
D. Store the uploaded videos in Amazon EFS and mount the file system to the EC2 instances for the web application Process the SQS queue with an AWS lambda function that calls the Amazon Rekognition API to categorize the videos.
Answer: D