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NEW QUESTION: 1
会社には、AWS Elastic Beanstalk負荷分散と自動スケーリング環境にウェブサイトがあります。この環境には、データベースリソースとして構成されたAmazon RDS MySQLインスタンスがあります。トラフィックが急増した後、ウェブサイトはトラフィックを落とし始めました。管理者は、メモリ不足エラーの結果として、一部のインスタンスのアプリケーションが応答していないことを発見しました。 Classic Load Balancerはそれらのインスタンスをサービス停止としてマークし、Elastic Beanstalk拡張ヘルスレポートのヘルスステータスが低下しました。ただし、Elastic Beanstalkはこれらのインスタンスを置き換えませんでした。 Classic Load Balancerの背後では容量が減少しているため、顧客のアプリケーションの応答時間は遅くなります。この問題を完全に修正するアクションはどれですか？
A. メモリがいっぱいになったときにウェブサーバープロセスを抑制するためのcronスクリプトを記述し、AWS Systems Managerでデプロイします。
B. Auto Scalingグループ内のインスタンスの最大数を一時的に変更して、グループがより多くのトラフィックをサポートできるようにします。
C. Auto Scalingグループのヘルスチェックの設定をAmazon EC2からElastic Load Balancingに変更し、グループの容量を増やします。
D. Elastic Beanstalk環境のクローンを作成します。新しい環境が起動したら、CNAMEを交換して、以前の環境を終了します。
Answer: B
NEW QUESTION: 2
You are modifying an existing banking application.
The application includes an Account class and a Customer class. The following code segment defines the classes.
You populate a collection named customerCollection with Customer and Account objects by using the following code segment:
You create a largeCustomerAccounts collection to store the Account objects by using the following code segment:
Collection<Account> largeCustomerAccounts = new Collection<Account> (); All accounts with a Balance value greater than or equal to 1,000,000 must be tracked.
You need to populate the largeCustomerAccounts collection with Account objects.
Which code segment should you use?
A. Option C
B. Option A
C. Option D
D. Option B
Answer: A
NEW QUESTION: 3
A. Option A
B. Option D
C. Option C
D. Option E
E. Option B
Answer: A,B,E