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NEW QUESTION: 1
........... is the process of passing a packet from one node to another.
A. Forwarding
B. Switching
C. Directing
D. Routing
Answer: A

NEW QUESTION: 2
조직은 대량의 해시 태그 데이터 스트림을 실시간으로 처리해야 하며 특정 태그에 대한 통찰력을 얻으려면 데이터에 대해 사용자 지정 SQL 쿼리를 실행해야 합니다. 조직은이 솔루션이 탄력적이어야 하고 클러스터를 관리하고 싶지 않습니다.
다음 중 어떤 서비스가 이러한 요구 사항을 충족합니까?
A. Amazon Kinesis Data Analytics
B. Amazon Elasticsearch Service
C. 아마존 레드 시프트
D. 아마존 아테나
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

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

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