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NEW QUESTION: 1
ソリューションアーキテクトがAWSにデプロイされる新しいアプリケーションのクラウドアーキテクチャを設計しているプロセスは、処理するジョブの数に基づいて、必要に応じてアプリケーションノードを追加および削除しながら並行して実行する必要がありますプロセッサーアプリケーションはステートレスですソリューションアーキテクトは、アプリケーションは疎結合であり、ジョブアイテムは永続的に保存されます。ソリューションアーキテクトはどの設計を使用する必要がありますか？
A. 処理が必要なジョブを保持するAmazon SQSキューを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ（AMI）を作成しますAMIを使用する起動構成を作成します起動構成セットを使用してAuto Scalingグループを作成しますネットワークの使用状況に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
B. 処理が必要なジョブを送信するためのAmazon SNSトピックを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ（AMI）を作成しますAMIを使用する起動構成を作成します起動構成セットを使用してAuto Scalingグループを作成しますCPU使用率に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
C. 処理が必要なジョブを保持するAmazon SQSキューを作成します。プロセッサーアプリケーションで構成されるAmazonマシンイメージ（AMI）を作成します。AMIを使用する起動テンプレートを作成します。起動テンプレートを使用してAuto Scalingグループを作成します。 SQSキュー内のアイテム数に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
D. 処理が必要なジョブを送信するためのAmazon SNSトピックを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ（AMI）を作成しますAMIを使用する起動テンプレートを作成します起動テンプレートセットを使用してAuto Scalingグループを作成しますSNSトピックにパブリッシュされたメッセージの数に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー。
Answer: C
Explanation:
In this case we need to find a durable and loosely coupled solution for storing jobs. Amazon SQS is ideal for this use case and can be configured to use dynamic scaling based on the number of jobs waiting in the queue.
To configure this scaling you can use the backlog per instance metric with the target value being the acceptable backlog per instance to maintain. You can calculate these numbers as follows:
Backlog per instance: To calculate your backlog per instance, start with the ApproximateNumberOfMessages queue attribute to determine the length of the SQS queue (number of messages available for retrieval from the queue). Divide that number by the fleet's running capacity, which for an Auto Scaling group is the number of instances in the InService state, to get the backlog per instance.
Acceptable backlog per instance: To calculate your target value, first determine what your application can accept in terms of latency. Then, take the acceptable latency value and divide it by the average time that an EC2 instance takes to process a message.
This solution will scale EC2 instances using Auto Scaling based on the number of jobs waiting in the SQS queue.
CORRECT: "Create an Amazon SQS queue to hold the jobs that needs to be processed. Create an Amazon EC2 Auto Scaling group for the compute application. Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue" is the correct answer.
INCORRECT: "Create an Amazon SQS queue to hold the jobs that need to be processed. Create an Amazon EC2 Auto Scaling group for the compute application. Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage" is incorrect as scaling on network usage does not relate to the number of jobs waiting to be processed.
INCORRECT: "Create an Amazon SNS topic to send the jobs that need to be processed. Create an Amazon EC2 Auto Scaling group for the compute application. Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage" is incorrect. Amazon SNS is a notification service so it delivers notifications to subscribers. It does store data durably but is less suitable than SQS for this use case. Scaling on CPU usage is not the best solution as it does not relate to the number of jobs waiting to be processed.
INCORRECT: "Create an Amazon SNS topic to send the jobs that need to be processed. Create an Amazon EC2 Auto Scaling group for the compute application. 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" is incorrect. Amazon SNS is a notification service so it delivers notifications to subscribers. It does store data durably but is less suitable than SQS for this use case. Scaling on the number of notifications in SNS is not possible.
References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html

NEW QUESTION: 2
Who is responsible for maintaining the record of Technical and Delivery Assessment (TDA) completion when a TDA is completed for an IBM storage solution sold by a business partner?
A. IBM Value Added Distributor
B. IBM business partner
C. IBM client representative for business partners
D. IBM local account team
Answer: B

NEW QUESTION: 3
The most appropriate type of FMEA for a product before going into manufacturing is a ___________ FMEA.
A. Consumer
B. Design
C. Test Process
D. Survey
Answer: B