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NEW QUESTION: 1
A global shoemaker has over a thousand retail stores which they manage themselves, sell through brokers in other discounted stores, and they also sell online. These channels are completely independent. There is no system that merges these data sets together to allow the COO to have comprehensive insight. You need to provide a company-wide picture of its channels and be enabled to do ad-hoc analytics when required. How can you configure this? Choose two.
Choose the 2 correct answers:
A. First, get all the data from the many different sources onto Amazon S3. Then, Amazon EMR is used to transform and cleanse the data from the source format into the destination and desired format.
B. First, get all the data from the many different sources onto Amazon DynamoDB. Then, Amazon Redshift is used to transform and cleanse the data from the source format into the destination and a format.
C. Use Amazon EMR to load, sort, distribute, and compress the data into its tables so that analytical queries can execute efficiently and in parallel. Lastly, for visualizing the analytics, Amazon QuickSight can be used, or one of the many partner visualization platforms via the OBDC/JDBC connection to Amazon EMR.
D. Use Amazon Redshift to load, sort, distribute, and compress the data into its tables so that analytical queries can execute efficiently and in parallel. Lastly, for visualizing the analytics, Amazon QuickSight can be used, or one of the many partner visualization platforms via the OBDC/JDBC connection to Amazon Redshift.
Answer: A,D
Explanation:
An enterprise data warehouse is a terrific way to solve this problem. The data warehouse needs to collect data from each of the three channels'various systems and from public records for weather and economic data. Each data source sends data daily for consumption by the data warehouse. Because each data source may be structured differently, an extract, transform, and load (ETL) process is performed to reformat the data into a common structure. Then, analytics can be performed across data from all sources simultaneously Reference:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf

NEW QUESTION: 2
You work as a Network Administrator for Infonet Inc. The company has a Windows Server 2008 domain-based network. The network has three Windows Server 2008 member servers and 150 Windows Vista client computers. The network contains a Windows Server 2008 Core computer. You want to install the DNS server role on the Windows Server 2008 Core computer. Which of the following commands will you use to accomplish the task?
A. start /w ocsetup DNS-Server-Core-Role
B. start /w ocsetup DnsServer
C. start /w ocsetup DnsServercorerole
D. net start "dns server"
Answer: A

NEW QUESTION: 3
특정 시간에 대부분의 EC2 인스턴스가 사용되지 않고 있음을 알았으므로 일부 자동 저장 그룹을 만들어야 만 돈을 절약 할 수 있습니다. 기본적으로 AWS에서 만들 수있는 최대 자동 확장 그룹 수는 얼마입니까?
A. 무제한
B. 0
C. 1
D. 2
Answer: B
Explanation:
설명:
Auto Scaling은 애플리케이션 아키텍처 내에서 EC2 인스턴스의 수를 늘리거나 줄일 수있는 AWS 서비스입니다. 자동 크기 조정을 사용하면 자동 크기 조정 그룹이라는 EC2 인스턴스의 컬렉션을 만들 수 있습니다. 이러한 그룹은 처음부터 만들거나 이미 제작중인 기존 EC2 인스턴스에서 만들 수 있습니다.
참조 : http://docs.aws.amazon.com/general/latest/gr/aws_service_limits.html#limits_autoscaling