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NEW QUESTION: 1
In which phase should a TDA be performed?
A. Server deployment
B. Installation and server configuration
C. Needs analysis and design
D. Problem determination/resolution
Answer: C

NEW QUESTION: 2
참고 :이 질문은 동일한 시나리오를 사용하는 일련의 질문 중 일부입니다. 편의상 각 질문에 시나리오가 반복됩니다. 각 질문은 다른 목표와 답변 선택을 제시하지만 시나리오의 내용은이 시리즈의 각 질문에서 동일합니다.
반복 시나리오 시작
다음 테이블이 포함 된 Microsoft SQL Server 데이터베이스가 있습니다.

다음 열에는 날짜 정보가 있습니다.
* mmyyyy 형식의 날짜 [월]
* ddmmyyyy 형식의 날짜 [날짜 _ID]
* mm / dd / yyyy 형식의 날짜 [날짜 _ 이름]
* mmyyyy 형식의 Monthly_returns [Month_ID]
주문 테이블에는 백만 개가 넘는 행이 있습니다.
Store 테이블은 StoreJD 열의 Monthly_returns 테이블과 관계가 있습니다. 이것이 테이블 간의 유일한 관계입니다.
Power B를 사용할 계획입니다! 데이터 분석 솔루션을 만드는데 사용되는 데스크톱
반복 시나리오의 끝.
Order_ship_date 열과 Order_date 열에 대해 월별 Order [Order_amount]의 합계를 표시하는 차트를 작성해야 합니다.
데이터를 어떻게 모델링해야 합니까?
A. Date [Date_ID]에서 Order [Order_date]까지 일대 다 관계를 작성하고 Date [Date_ID]에서 Monthly_returns [Date_IDJ까지 다른 관계를 작성하십시오.
B. 모델에 Ship_date라는 두 번째 날짜 테이블을 추가하십시오. Date [Date_ID]에서 Order [Order_date]까지 일대 다 관계를 작성하고 Ship_date [Date_ID]에서 Order [Order_ship_dateJ까지 일대 다 관계를 작성하십시오.
C. Date [Date_ID]에서 Order [Order_date]로 일대 다 관계를 작성하고 Date [Date_ID]에서 Order [Order_ship_date]로 다른 관계를 작성하십시오.
D. 모델에 Ship_date라는 두 번째 날짜 테이블을 추가하십시오. Date [Date_ID]에서 Order [Order_date]까지 다 대다 관계를 작성하고 Ship_date [DateJD]에서 Order [Order_ship_date]까지 다 대다 관계를 작성하십시오.
Answer: C

NEW QUESTION: 3
DRAG DROP
Given:
Runnable r = new Runnable() {
public void run() {
try {
Thread.sleep(1000);
} catch (interruptedException e) {
System.out.println("interrupted");
}
System.out.println("ran");
}
};
Thread t = new Thread(r);
t.start();
System.out.println("started");
t.sleep(2000);
System.out.println("interrupting");
t.interrupt();
System.out.println("ended");
Assue that sleep(n) executes in exactly n milliseconds, and all other code executes in an insignificant amount of time. Place the fragments in the output area to show the result of running this code.
Select and Place:

Answer:
Explanation: