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NEW QUESTION: 1
You are evaluating a method that calculates loan interest- The application includes the following code segment. (Line numbers are included for reference only.)
When the loanTerm value is 3 and the loanAmount value is 9750, the loanRate must be set to 8.25 percent.
You need to adjust the loanRate value to meet the requirements.
What should you do?
A. Replace line 07 with the following code segment:
loanRate = 0.0825m;
B. Replace line 15 with the following code segment:
loanRate = 0.0825m;
C. Replace line 04 with the following code segment:
decimal loanRate = 0.0325m;
D. Replace line 17 with the following code segment:
interestAmount = loanAmount * 0.0825m * loanTerm;
Answer: B
NEW QUESTION: 2
DRAG DROP
You need to recommend a solution that supports the planned changes for the public folders.
Which four cmdlets should you recommend running in sequence? (To answer, move the appropriate four cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.) Select and Place:
Answer:
Explanation:
NEW QUESTION: 3
On a SAN-attached application server, which two tools are required to create a consistent Snapshot copy from the application server? (Choose two.)
A. NetApp System Manager
B. NetApp Protection Manager
C. NetApp SnapDrive
D. NetApp SnapManager software for the appropriate application server
Answer: C,D
NEW QUESTION: 4
AML 모델에서 대상에 대해 지원되는 데이터 유형은 무엇입니까? 3 가지 정답을 선택하십시오.
A. 텍스트
B. 바이너리
C. 숫자
D. 카테고리
Answer: B,C,D
Explanation:
설명:
Amazon ML은 여러 속성 유형에 대해 다음 설명적인 통계를 계산합니다. 숫자 :
분포 히스토그램 유효하지 않은 값의 수 최소, 중간, 평균 및 최대 값 바이너리 및 범주 형 : 개수 (범주 별 고유 값 중) 값 분포 막대 그래프 가장 빈번한 값 고유 값 개수 진정한 값의 백분율 (바이너리 만 해당) 가장 눈에 띄는 단어 가장 빈번한 단어 텍스트 : 특성 이름 대상과의 상관 관계 (대상이 설정된 경우) 총 단어 고유 단어 행의 단어 수 범위 단어 길이의 범위 가장 눈에 잘 띄는 단어 참조 :
http://docs.aws.amazon.com/machine-learning/latest/dg/data-insights.html