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NEW QUESTION: 1
Which of the following statement(s) about UTMA 529 is/are correct?

A. Only (i)
B. Only (ii)
C. Neither (i) or (ii)
D. Both (i) and (ii)
Answer: D

NEW QUESTION: 2
You need to calculate the possible outcome if prices are raised. However, the data in the IBM TM1 server should not be overwritten. The IBM TM1 model contains many business rules and calculations but no scenario dimension, which is what you want.
How do you proceed?
A. Create a named scenario and change all values there.
B. Use Slice to Excel and change all values there.
C. Create a named Sandbox and change all values there.
D. Use Snapshot to Excel and change all values there.
Answer: C

NEW QUESTION: 3
소매 회사에는 AWS에서 데이터베이스에 Microsoft SQL Server를 사용하는 사용자 지정 NET 웹 애플리케이션이 있습니다. 애플리케이션 서버는 사용자 세션을 로컬로 유지합니다. 솔루션의 모든 계층에서 고 가용성을 보장하기 위해 어떤 아키텍처 변경 조합이 필요합니까? (3을 선택하십시오.)
A. Amazon ElastiCache에 사용자 세션을 저장하도록 애플리케이션 리팩토링 Application Load Balancer를 사용하여 애플리케이션 인스턴스간에 로드를 분산
B. 애플리케이션 인스턴스를 Auto Scaling 그룹에 배치 인스턴스가 비정상 상태가 되면 새 인스턴스를 생성하도록 Auto Scaling 그룹을 구성하십시오.
C. NET 컨텐츠를 Amazon S3 버킷으로 이동 정적 웹 사이트 호스팅을위한 버킷 구성
D. 데이터베이스를 Amazon RDS에서 SQL Server로 마이그레이션 다중 AZ 배포를 사용하도록 RDS 인스턴스 구성
E. Amazon EBS를 사용하여 시간별 스냅 샷을 생성하도록 데이터베이스 설정 기본 데이터베이스 인스턴스가 실패 할 경우 새 데이터베이스 인스턴스를 시작하도록 Amazon CloudWatch 이벤트 규칙 구성
F. 애플리케이션 티어 앞에 Amazon CloudFront 배포 정상적인 애플리케이션 인스턴스의 콘텐츠만 제공하도록 CloudFront를 구성하십시오.
Answer: A,B,D

NEW QUESTION: 4
会社は複数のWebサイトからクリックストリームデータをキャプチャし、バッチ処理を使用してそれを分析します。データは毎晩Amazon Redshiftに読み込まれ、ビジネスアナリストによって消費されます。同社は、タイムリーな洞察を得るために、ほぼリアルタイムのデータ処理に移行したいと考えています。このソリューションでは、最小限の労力と運用オーバーヘッドでストリーミングデータを処理する必要があります。
このソリューションで最も費用効果の高いAWSサービスの組み合わせはどれですか？ （2つ選択してください。）
A. Amazon Kinesis Data Streams
B. AWSLambda
C. Amazon Kinesis Data Firehose
D. Amazon EC2
E. Amazon Kinesis Data Analytics
Answer: C,E
Explanation:
https://d0.awsstatic.com/whitepapers/whitepaper-streaming-data-solutions-on-aws-with- amazonkinesis.pdf (9)
https://aws.amazon.com/kinesis/#Evolve_from_batch_to_real-time_analytics