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NEW QUESTION: 1
미디어 광고 회사는 다수의 실시간 메시지를 처리합니다.
실시간으로 200 개의 웹 사이트. 처리 대기 시간은 낮게 유지해야합니다. 60 키로 계산 된 Amazon Kinesis 스트림은 트래픽 급증에도 불구하고 최대 데이터 처리량을 처리하기에 충분합니다. 이 회사는 또한 Auto Scaling 그룹이 관리하는 Amazon Elastic Compute Cloud (EC2)에서 실행되는 Amazon Kinesis Client Library (KCL) 응용 프로그램을 사용합니다. Amazon CloudWatch는 실행중인 모든 서버에서 평균 25 %의 CPU 및 적당한 수준의 네트워크 트래픽을 나타냅니다.
이 회사는 피크 시간대에 아마존 키 네스 (Amazon Kinesis)의 메시지 처리 지연 시간이 150 ~ 200 % 증가했다고보고했습니다. Amazon Kinesis에 게시하는 사이트의 지연에 대한보고는 없습니다.
대기 시간 문제를 해결하는 적절한 솔루션은 무엇입니까?
A. 네트워크 처리량을 높이기 위해 Amazon EC2 인스턴스의 크기를 늘립니다.
B. 동시성을 높이려면 Amazon Kinesis 스트림의 조각 수를 80으로 늘립니다.
C. Auto Scaling 그룹의 최소 인스턴스 수를 늘립니다.
D. 체크 포인트 테이블에서 Amazon DynamoDB 처리량을 늘립니다.
Answer: D

NEW QUESTION: 2
다음 중 AWS Data Pipeline을 사용하여 수행 할 수 없는 것은 무엇입니까?
A. 내결함성, 반복성 및 고 가용성의 복잡한 데이터 처리 워크로드를 만듭니다.
B. 저장된 데이터에 대한 보고서를 생성합니다.
C. 서로 다른 AWS 컴퓨팅 및 스토리지 서비스간에 데이터를 이동하고 지정된 간격으로 전제 데이터 소스에서 데이터를 이동합니다.
D. 데이터가 저장되어 있는 데이터에 정기적으로 액세스하고 규모에 따라 변환 및 처리하며 결과를 다른 AWS 서비스로 효율적으로 전송합니다.
Answer: B
Explanation:
Explanation
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services as well as on premise data sources at specified intervals. With AWS Data Pipeline, you can regularly access your data where it's stored, transform and process it at scale, and efficiently transfer the results to another AWS.
AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. AWS Data Pipeline also allows you to move and process data that was previously locked up in on premise data silos.
http://aws.amazon.com/datapipeline/

NEW QUESTION: 3
How does the implementation consultant support the customer during Fit-to-Standard workshops?
There are TWO answers for this Question
Response:
A. Show and explain all available self-service configuration UIs
B. Highlight gaps that require configuration or extensibility decisions
C. Demonstrate SAP Best Practices in the Starter system
D. Review current custom code in the customer system
Answer: B,C