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NEW QUESTION: 1
During a service request procedure, which message is sent by the MME over the S11 interface to provide the SGW with the eNodeB address and eNodeB S1-U TEID?
A. Modify Bearer Response
B. Downlink Data Notification Ack
C. Modify Bearer Request
D. Downlink Data Notification
Answer: C

NEW QUESTION: 2


Answer:
Explanation:

Explanation:
Reference:
http://www.cisco.com/c/en/us/products/collateral/security/ips-4200-seriessensors/prod_white_paper0900aecd806e7299.html

NEW QUESTION: 3
An existing client LPAR has been manually moved from one physical machine to another. The administrator updated the SAN zoning to deallocate from the source VIO Server and allocate to the destination VIO Server. The LPAR and its profile were recreated on the HMC and the single disk is mapped from the VIO Server to the LPAR.
What manual intervention is required after activating the LPAR?
A. Correct the system clock.
B. Correct the terminal type.
C. Select a boot device.
D. Import non-root volume groups
Answer: C

NEW QUESTION: 4
최근 도시 지역의 거리 소음 및 대기 질을 측정하기 위해 센서를 설립 한 신생 기업에 가입했습니다. 이 회사는 각 센서가 3 개월 동안 약 100 개의 센서를 시험 배치하여 분당 1KB의 센서 데이터를 AWS에서 호스팅하는 백엔드에 업로드합니다.
파일럿 동안 데이터베이스에서 피크 또는 10 IOPS를 측정하고 데이터베이스에 한 달에 평균 3GB의 센서 데이터를 저장했습니다.
현재 배포는 EC2 인스턴스를 사용하는로드 밸런싱 된 자동 스케일링 처리 계층과 500GB 표준 스토리지가있는 PostgreSQL RDS 데이터베이스로 구성됩니다.
파일럿은 성공으로 간주되며 CEO는 관심을 끌거나 일부 잠재적인 투자자를 확보했습니다.
사업 계획에는 백엔드에서 지원해야하는 100K 이상의 센서를 배포해야 합니다.
또한 매년 개선 사항을 비교할 수 있으려면 2 년 이상 센서 데이터를 저장해야 합니다.
자금을 확보하려면 플랫폼이 이러한 요구 사항을 충족하고 추가 확장을위한 공간을 확보해야 합니다.
어떤 설정 승리가 요구 사항을 충족합니까?
A. 처리 계층에 SQS 대기열을 추가하여 RDS 인스턴스에 대한 쓰기 버퍼링
B. 현재 아키텍처를 유지하면서 RDS 스토리지를 3TB 및 10K 프로비저닝 IOPS로 업그레이드
C. DynamoDB 테이블에 데이터를 수집하고 이전 데이터를 Redshift 클러스터로 이동
D. RDS 인스턴스를 스토리지가 96TB 인 6 노드 Redshift 클러스터로 교체
Answer: D
Explanation:
Explanation
The POC solution is being scaled up by 1000, which means it will require 72TB of Storage to retain 24 months' worth of data. This rules out RDS as a possible DB solution which leaves you with Redshift.
I believe DynamoDB is a more cost effective and scales better for ingest rather than using EC2 in an auto scaling group.
Also, this example solution from AWS is somewhat similar for reference.
http://media.amazonwebservices.com/architecturecenter/AWS_ac_ra_timeseriesprocessing_16.pdf

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