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NEW QUESTION: 1
ロードバランサーの背後にあるAmazon EC2インスタンスで実行されている会社の大規模な多層WindowsベースのWebアプリケーションを担当します。メトリックを確認していると、顧客ページの読み込み時間が遅いという上昇傾向に気づき始めました。上司から、1秒あたりの要求が多すぎて顧客の読み込み時間が影響を受けないようにするためのソリューションを考え出すように依頼されました。この問題を解決するには、どの手法を使用しますか？
A. AWS CloudFormation、Elastic Beanstalk、Auto Scalingを使用してインフラストラクチャを再デプロイします。 Auto Scalinggroupポリシーを設定して、1秒あたりのリクエスト数と現在の顧客の読み込み時間に基づいてスケーリングします。
B. AWS CloudFormationテンプレートを使用してインフラストラクチャを再デプロイします。 2番目のAWS CloudFormationスタックを起動します。 Elastic Load Balancing SpillOver機能を設定して、2番目のAWS CloudFormationスタックへの遅い接続をスピルオーバーします。
C. Auto Scalingテンプレートを使用してアプリケーションを再デプロイします。顧客の読み込み時間がしきい値を超えたときに新しいElastic Beanstalkアプリケーションを起動するようにAuto Scalingテンプレートを設定します。
D. AWS CloudFormationテンプレートを使用してインフラストラクチャを再デプロイします。 Elastic Load Balancingヘルスチェックを設定して、ヘルスチェックが失敗したときに新しいAWS CloudFormationスタックを開始します。
Answer: A
Explanation:
Auto Scaling helps you ensure that you have the correct number of Amazon CC2 instances available to handle the load for your application. You create collections of CC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Auto Scaling ensures that your group never goes below this size. You can specify the maximum number of instances in each Auto Scaling group, and Auto Scaling ensures that yourgroup never goes above this size. If you specify the desired capacity, either when you create the group or at any time thereafter. Auto Scaling ensures that yourgroup has this many instances.
If you specify scaling policies, then Auto Scaling can launch or terminate instances as demand on your application increases or decreases.
Option A and B are invalid because Autoscaling is required to solve the issue to ensure the application can handle high traffic loads.
Option D is invalid because there is no Autoscaling template.
For more information on Autoscaling, please refer to the below document link: from AWS
http://docs.aws.amazon.com/autoscaling/latest/userguide/Whatl sAutoScaling.html

NEW QUESTION: 2
Which command is used to write a kernel debug to a file?
A. Fw ctl kdebug-T -I > debug.txt
B. Fw ctl debug -T -f > debug.txt
C. Fw ctl kdebug -T -f> debug .txt
D. Fw ctl debug -S -T > debug. txt
Answer: C
Explanation:
Reference: https://itsecworks.com/2011/08/09/checkpoint-firewall-debugging-basics/

NEW QUESTION: 3
従業員とその写真のリストを含むデータベースがあります。
従業員の新しい写真にタグを付けています。
次の各ステートメントについて、ステートメントが真の場合は[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview
https://docs.microsoft.com/en-us/azure/cognitive-services/face/concepts/face-detection