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NEW QUESTION: 1
開発者は重複する連絡先を特定し、1,000万人のサブスクライバーに対して連絡先の削除プロセスを開始しました。プロセスをどのように促進できますか？
A. すべての連絡先のサブスクライバーを手動で削除する
B. 不要な送信可能なデータ拡張を削除します
C. 抑制値をより大きな値に変更します
D. 現在の削除プロセスを停止し、より小さなグループを削除します
Answer: D
NEW QUESTION: 2
組織は大容量のハッシュタグデータのストリームをリアルタイムで処理する必要があり、特定のタグに関する洞察を得るためにデータに対してカスタムSQLクエリを実行する必要があります。組織はこのソリューションに弾力性が必要であり、クラスターを管理したくないと考えています。
これらの要件を満たすAWSサービスは次のうちどれですか？
A. Amazon Kinesis Data Analytics
B. アマゾンアテナ
C. Amazon Redshift
D. Amazon Elasticsearch Service
Answer: A
Explanation:
Explanation
The streaming source for your application. You can select either a Kinesis data stream or a Kinesis Data Firehose data delivery stream as the streaming source. In the input configuration, you map the streaming source to an in-application input stream. The in-application stream is like a continuously updating table upon which you can perform the SELECT and INSERT SQL operations. In your application code, you can create additional in-application streams to store intermediate query results.
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or build entire streaming applications using templates and an interactive SQL editor. Java developers can quickly build sophisticated streaming applications using open source Java libraries and AWS integrations to transform and analyze data in real-time. Amazon Kinesis Data Analytics takes care of everything required to run your real-time applications continuously and scales automatically to match the volume and throughput of your incoming data. With Amazon Kinesis Data Analytics, you only pay for the resources your streaming applications consume. There is no minimum fee or setup cost.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works.html
NEW QUESTION: 3
Which of the following statements are true about security risks?
Each correct answer represents a complete solution. Choose three.
A. They are considered an indicator of threats coupled with vulnerability.
B. They can be removed completely by taking proper actions.
C. They can be mitigated by reviewing and taking responsible actions based on possible risks.
D. They can be analyzed and measured by the risk analysis process.
Answer: A,C,D
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