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NEW QUESTION: 1
The following grid shows the state of a 2D array:

This grid is created with the following code:

Which line of code, when inserted in place of //line n1, adds an X into the grid so that the grid contains three consecutive X's?
A. grid[2][0] = 'X';
B. grid[1][3] = 'X';
C. grid[1][2] = 'X';
D. grid[0][2] = 'X';
E. grid[3][1] = 'X';
Answer: A

NEW QUESTION: 2
You need to define the trend calculation for the sales performance KPI.
Which KPI trend MDX expression should you use?
A. IIF([Sales Variance %3 < ([Sales Variance %], [Date].[Calendar].PrevMember), 1, 0)
B. CASE WHEN [Sales Variance %] < ([Sales Variance %], [Date].[Calendar].PrevMember) THEN 1 WHEN [Sales Variance %] = ([Sales Variance %], [Date].[Calendar].PrevMember) THEN 0 ELSE -1 END
C. CASE WHEN [Sales Variance %] < ([Sales Variance %], [Date].[Calendar].PrevMember) THEN -1 WHEN [Sales Variance %] = ([Sales Variance %], [Date].[Calendar].PrevMember) THEN 0 ELSE 1 END
D. IIF([Sales Variance %] < ([Sales Variance %], [Date].[Calendar].PrevMember), 0, 1)
Answer: C

NEW QUESTION: 3
조직은 대량의 해시 태그 데이터 스트림을 실시간으로 처리해야하며 특정 태그에 대한 통찰력을 얻으려면 데이터에 대해 사용자 지정 SQL 쿼리를 실행해야 합니다. 조직은이 솔루션이 탄력적이어야 하고 클러스터를 관리하고 싶지 않습니다.
다음 중 어떤 서비스가 이러한 요구 사항을 충족합니까?
A. 아마존 아테나
B. Amazon Kinesis Data Analytics
C. 아마존 레드 시프트
D. Amazon Elasticsearch Service
Answer: B
Explanation:
설명:
Amazon Kinesis Data Analytics는 스트리밍 데이터를 분석하고 실행 가능한 통찰력을 확보하고 비즈니스 및 고객 요구에 실시간으로 대응하는 가장 쉬운 방법입니다. Amazon Kinesis Data Analytics는 스트리밍 애플리케이션을 다른 AWS 서비스와 구축, 관리 및 통합하는 복잡성을 줄입니다. SQL 사용자는 템플릿과 대화식 SQL 편집기를 사용하여 스트리밍 데이터를 쉽게 쿼리하거나 전체 스트리밍 응용 프로그램을 구축 할 수 있습니다. Java 개발자는 오픈 소스 Java 라이브러리와 AWS 통합을 사용하여 정교한 스트리밍 애플리케이션을 신속하게 구축하여 실시간으로 데이터를 변환하고 분석 할 수 있습니다.
Amazon Kinesis Data Analytics는 실시간 애플리케이션을 지속적으로 실행하는데 필요한 모든 것을 처리하고 수신 데이터의 볼륨 및 처리량에 맞게 자동으로 확장됩니다. Amazon Kinesis Data Analytics를 사용하면 스트리밍 애플리케이션이 소비하는 리소스에 대해서만 비용을 지불합니다. 최소 요금이나 설정 비용은 없습니다.