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NEW QUESTION: 1

A. Option C
B. Option B
C. Option D
D. Option A
Answer: D

NEW QUESTION: 2
会社がビデオ処理プラットフォームを運営しています。ファイルは、Amazon EFS共有に保存するウェブサーバーに接続するユーザーによってアップロードされます。このウェブサーバーは、単一のAmazon EC2インスタンスで実行されています。 Auto Scalingグループで実行されているインスタンスの異なるグループは、EFS共有ディレクトリ構造をスキャンして新しいファイルを処理し、一緒にアップロードされる指示ファイルに従って新しいビデオ（サムネイル、異なる解像度、圧縮など）を生成しますビデオファイル。 Auto Scalingグループによって管理されるインスタンスのグループで実行されている別のアプリケーションは、ビデオファイルを処理し、EFS共有から削除します。結果はS3バケットに保存されます。処理されたビデオファイルへのリンクは、顧客にメールで送信されます。
同社は最近、Auto Scaling Groupにインスタンスを追加すると、多くのファイルが2回処理されるため、画像処理速度が改善されないことを発見しました。これらのビデオファイルの最大サイズは
2GB。
ソリューションアーキテクトは、信頼性を向上させ、ビデオファイルの冗長処理を削減するために何をすべきですか？
A. Webアプリケーションを変更して、ビデオファイルを直接Amazon S3にアップロードします。 Amazon CloudWatch Eventsを使用して、ファイルがアップロードされるたびにAWS Lambda関数をトリガーし、このLambda関数にメッセージをAmazon SQSキューに入れさせます。ビデオ処理アプリケーションを変更して、新しいファイルのSQSキューから読み取るようにし、キュー深度メトリックを使用してビデオ処理Auto Scalingグループのインスタンスをスケーリングします。
B. Webアプリケーションを書き換えてAmazon S3から直接実行し、Amazon API Gatewayを使用してビデオファイルをS3バケットにアップロードします。 S3トリガーを使用して、ファイルがアップロードされるたびにAWS Lambda関数を実行し、新しいビデオファイルを処理して別のバケットに保存します。 CloudWatchイベントを使用して、SESジョブをトリガーし、処理済みファイルへのリンクを含むメールを顧客に送信します。
C. Amazon S3から実行するようにWebアプリケーションを書き換え、ビデオファイルをS3バケットにアップロードします。新しいファイルがアップロードされるたびに、AWS Lambda関数をトリガーして、リンクと指示を含むメッセージをSQSキューに入れます。ビデオ処理アプリケーションを変更して、SQSキューとS3バケットから読み取る。キュー深度メトリックを使用して、ビデオ処理インスタンスのAuto Scalingグループのサイズを調整します。
D. ウェブサーバーインスタンスでcronジョブをセットアップして、EFS共有のコンテンツをAmazon S3に同期します。ファイルがアップロードされるたびにAWS Lambda関数をトリガーして、動画ファイルを処理し、結果をAmazon S3に保存します。 Amazon CloudWatch Eventsを使用すると、Amazon SESジョブがトリガーされ、処理済みファイルへのリンクを含むEメールが顧客に送信されます。
Answer: A

NEW QUESTION: 3
A company has two different types of reporting needs on their 200-GB data warehouse:
1 Data scientists run a small number of concurrent ad hoc SQL queries that can take several minutes each to run.
2 Display screens throughout the company run many fast SQL queries to populate dashboards.
Which design would meet these requirements with the LEAST cost?
A. Use Amazon Redshift for both requirements, with separate query queues configured in workload management.
B. Configure auto-replication between Amazon Redshift and Amazon RDS. Data scientists use Redshift.
Dashboards use RDS.
C. Use Amazon Redshift for Data Scientists. Run automated dashboard queries against Redshift and store the results in Amazon ElastiCache. Dashboards query ElastiCache.
D. Replicate relevant data between Amazon Redshift and Amazon DynamoDB. Data scientists use Redshift. Dashboards use DynamoDB.
Answer: A
Explanation:
Explanation
Redshift makes it simple and cost effective to run high performance queries on petabytes of structured data so that you can build powerful reports and dashboards using your existing business intelligence tools.
https://docs.aws.amazon.com/redshift/latest/dg/c_workload_mngmt_classification.html

NEW QUESTION: 4
A customer needs to add storage capacity to a host In a remote branch office. They have limited IT resources, so the solution requires ease of integration at a low price point Which HPE Storage family best meets these needs?
A. HPE MSA Storage Array
B. HPE D3000 Enclosure
C. HPE NimbIe Storage
D. HPE 3PAR StoreServ
Answer: A