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NEW QUESTION: 1
構成にハードコードされたIPアドレスを使用してVPC内のレガシーアプリケーションを管理しています。
再構成を必要とせずにアプリケーションを新しいインスタンスにフェイルオーバーできるようにする2つのメカニズムはどれですか？ 2つの答えを選択してください
A. フェイルオーバーインスタンスに移動できるセカンダリENIを作成します
B. Route53ヘルスチェックを使用してトラフィックをフェイルオーバーインスタンスにフェイルオーバーします
C. トラフィックをフェイルオーバーインスタンスに再ルーティングするELBを作成します
D. フェイルオーバーインスタンスに移動できるプライマリENIOにセカンダリプライベートIPアドレスを割り当てます
Answer: A,D
Explanation:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/MultipleIP.html#MultipleIPReqs
NEW QUESTION: 2
A company is using a fleet of Amazon EC2 instances to ingest data from on-premises data sources.
The data is in JSON format and ingestion rates can be as high as 1 MB/s. When an EC2 instance is rebooted, the data in-flight is lost.
The company's data science team wants to query ingested data in near-real time.
Which solution provides near-real-time data querying that is scalable with minimal data loss?
A. Publish data to Amazon Kinesis Data firehose with Amazon Redshift as the destination.
Use Amazon Redshift to query the data.
B. Publish data to Amazon Kinesis Data Streams.
Use Kinesis Data Analytics to query the data.
C. Store ingested data in an EC2 instance store Publish data to Amazon Kinesis Data Firehose with Amazon S3 as the destination.
Use Amazon Athena to query the data.
D. Store ingested data in an Amazon Elastic Block Store (Amazon EBS) volume.
Publish data to Amazon ElastiCache for Redis.
Subscribe to the Redis channel to query the data.
Answer: C
NEW QUESTION: 3
次の状況のうち、フォレンジックスペシャリストのサービスを利用するのが最も適切なのはどれですか？
A. 売掛金に対する一般的なコンピューター制御の誤用のレビュー。
B. ソースドキュメントへの不正な変更の検出。
C. 製造会社の固定資産の検証。
D. 大企業の幽霊従業員の調査。
Answer: B
NEW QUESTION: 4
会社には、ユーザーが短いビデオをアップロードできるWebアプリケーションがあります。ビデオはAmazon EBSボリュームに保存され、カスタム認識ソフトウェアによって分析されて分類されます。
Webサイトには、特定の月にピークとなる変動するトラフィックを持つ静的コンテンツが含まれています。アーキテクチャは、WebアプリケーションのAuto Scalingグループで実行されるAmazon EC2インスタンスと、Amazon SQSキューを処理するAuto Scalingグループで実行されるEC2インスタンスで構成されます。同社はアプリケーションを再構築して、可能な場合はAWSマネージドサービスを使用して運用オーバーヘッドを削減し、サードパーティソフトウェアへの依存を解消したいと考えています。
これらの要件を満たすソリューションはどれですか？
A. ウェブアプリケーションにはAmazon ECSコンテナーを使用し、SQSキューを処理するスケーリンググループにはスポットインスタンスを使用します。カスタムソフトウェアをAmazon Rekognitionに置き換えて、動画を分類します。
B. アップロードした動画をAmazon EFSに保存し、ファイルシステムをウェブアプリケーションのEC2インスタンスにマウントします。AmazonRekognition APIを呼び出して動画を分類するAWS lambda関数でSQSキューを処理します。
C. Amazon S3でWebアプリケーションをホストします。アップロードした動画をAmazon S3に保存します。 S3イベント通知を使用して、イベントをSQSキューに公開します。 Amazon Rekognition APIを呼び出して動画を分類するAWS Lambda関数を使用してSQSキューを処理します。
D. AWS Elastic Beanstalkを使用して、アプリケーションのAuto ScalingグループでEC2インスタンスを起動し、ワーカー環境を起動してSQSキューを処理します。カスタムソフトウェアをAmazon Rekognitionに置き換えて、動画をカテゴリ化します。
Answer: D
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