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Exam Code: Generative-AI-Leader Dumps

Questions and Answers: 104

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NEW QUESTION: 1
ワイヤレスサービスを提供する会社には、ユーザーアクティビティに関するログファイルを保存および分析するソリューションが必要です。現在、ログファイルはAmazon EC2インスタンスのAmazon Linuxに毎日配信されます。
バッチスクリプトは、サードパーティツールによる分析に使用されるデータを集約するために1日に1回実行されます。サードパーティツールにプッシュされたデータは、エンドユーザー向けの視覚化を生成するために使用されます。バッチスクリプトは保守が面倒で、増え続けるデータ量をサードパーティツールに配信するのに数時間かかります。同社はコストの削減を望んでおり、開発の労力を最小限に抑え、管理オーバーヘッドを削減する新しいツールを検討する用意がある。会社は、最小限のオーバーヘッドで、ほぼリアルタイムで分析を保存および実行できる、より俊敏なソリューションを構築したいと考えています。このソリューションは、企業のエンドユーザーベースの成長に対応するために、費用対効果と拡張性が必要です。
どのソリューションが会社の要件を満たしていますか?
A. Auto ScalingグループのEC2インスタンスで実行されているAmazon Kinesisエージェントを使用して、データを収集し、Amazon Kinesis Data Forehose配信ストリームに送信します。 Kinesis Data Firehose配信ストリームは、データをAmazon ESに直接配信します。 Kibanaを使用してデータを視覚化します。
B. Amazon EC2からのデータをリアルタイムで失敗させ、Amazon S3にデータを保存するPythonスクリプトを開発します。 copyコマンドを使用して、Amazon S3からAmazon Redshiftにデータをコピーします。 Amazon EC2で実行されているビジネスインテリジェンスツールをAmazon Redshiftに接続し、視覚化を作成します。
C. Amazon EBSに最適化されたEC2インスタンスで実行されるメモリ内キャッシュアプ​​リケーションを使用して、ほぼリアルタイムでログデータをキャプチャします。同じEC2インスタンスにAmazon ESクラスターをインストールして、ほぼリアルタイムでAmazon EC2に配信されるログファイルを保存します。 Kibanaプラグインをインストールして、視覚エフェクトを作成します。
D. EC2インスタンスで実行されているAmazon Kinesisエージェントを使用して、データを収集し、Amazon Kinesis Data Firehose配信ストリームに送信します。 Kinesis Data Firehose配信ストリームは、データをAmazon S3に配信します。 AWS Lambda関数を使用して、Amazon S3からAmazon ESにデータを配信します。 Kibanaを使用してデータを視覚化します。
Answer: C

NEW QUESTION: 2
Given the following pseudocode:
If the Breakfast program ran on Sunday, which of the following would be the output?
A. Pancakes
B. Waffles
C. Oatmeal
D. Bacon and eggs
Answer: B

NEW QUESTION: 3
Welche Einstellung ist mit einer Bewegungsart in SAP Materials Management definiert? Bitte wählen Sie die richtige Antwort.
A. Zählgruppe
B. Bewertungsklasse.
C. Kontoänderung
D. Bewertungsbereich
Answer: C


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