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NEW QUESTION: 1
能够影响一台 AP 的有效覆盖范围的主要因素有:
A. 天线类型（增益、方向角等)
B. AP 及天线的安装位置
C. AP 发射功率
D. 用户所期望的数据速率（带宽)
E. AP 的工作模式（ FAT AP 或 FIT AP )
Answer: A,B,C,D
NEW QUESTION: 2
사용자가 리소스 프로비저닝 프로세스를 자동화하여 코드 형 인프라를 배포 할 수있는 AWS 서비스는 무엇입니까?
A. AWS 데이터 파이프 라인
B. AWS Glue
C. AWS CloudFormation
D. Amazon GameLift
Answer: C
Explanation:
Explanation
AWS CloudFormation provides a common language for you to model and provision AWS and third party application resources in your cloud environment. AWS CloudFormation allows you to use programming languages or a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all regions and accounts. This gives you a single source of truth for your AWS and third party resources.
Reference: https://aws.amazon.com/cloudformation/
NEW QUESTION: 3
핫스팟 질문
다음 순서도가 있습니다.
드롭 다운 메뉴를 사용하여 각 문장을 완료하는 답안 선택 항목을 선택하십시오. 올바른 선택 항목은 모두 한 점 가치가 있습니다.
Answer:
Explanation:
NEW QUESTION: 4
Your system uses a multi-master, multi-region DynamoDB configuration spanning two regions to achieve high availablity. For the first time since launching your system, one of the AWS Regions in which you operate over went down for 3 hours, and the failover worked correctly. However, after recovery, your users are experiencing strange bugs, in which users on different sides of the globe see different data. What is a likely design issue that was not accounted for when launching?
A. The system does not have Lambda Functor Repair Automatons, to perform table scans and chack for corrupted partition blocks inside the Table in the recovered Region.
B. The system did not implement DynamoDB Table Defragmentation for restoring partition performance in the Region that experienced an outage, so data is served stale.
C. The system did not use DynamoDB Consistent Read requests, so the requests in different areas are not utilizing consensus across Regions at runtime.
D. The system did not include repair logic and request replay buffering logic for post-failure, to re- synchronize data to the Region that was unavailable for a number of hours.
Answer: D
Explanation:
When using multi-region DynamoDB systems, it is of paramount importance to make sure that all requests made to one Region are replicated to the other. Under normal operation, the system in question would correctly perform write replays into the other Region. If a whole Region went down, the system would be unable to perform these writes for the period of downtime. Without buffering write requests somehow, there would be no way for the system to replay dropped cross- region writes, and the requests would be serviced differently depending on the Region from which they were served after recovery.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.CrossRegionRepl
.html