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NEW QUESTION: 1
High availability (HA) nodes identify one another by their ____________ names.
A. Mib-system-name
B. Identifier
C. Host
D. Wancom0 name
E. Target
Answer: E

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section. You will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a table that was created by running the following Transact-SQL statement:

The Products table includes the data shown in the following table:

TotalUnitPrice is calculated by using the following formula:
TotalUnitPrice = UnitPrice * (UnitsInStock + UnitsOnOrder)
You need to ensure that the value returned for TotalUnitPrice for ProductB is equal to 600.00.
Solution: You run the following Transact-SQL statement:

Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
ISNULL ( check_expression , replacement_value )
Arguments:
check_expression
Is the expression to be checked for NULL. check_expression can be of any type.
replacement_value
Is the expression to be returned if check_expression is NULL. replacement_value must be of a type that is implicitly convertible to the type of check_expresssion.
References: https://docs.microsoft.com/en-us/sql/t-sql/functions/isnull-transact-sql

NEW QUESTION: 3
다음 중 RDS에 대한 보안 위험 요소는 이러한 구성 또는 배포 방법 중 어느 것입니까?
A. SQL 함수 코드를 일반 텍스트로 저장
B. RDS와 EC2 인스턴스가 동일한 서브넷에 존재 함
C. 공용 서브넷의 RDS
D. 다중 AZ가 아닌 RDS 인스턴스
Answer: C

NEW QUESTION: 4
S3의 리소스에 액세스 한 다음 S3의 테이블에 데이터를 쓸 수 있어야합니다. 또한 Amazon S3에서 테이블 분할 영역을 자동으로로드 할 수 있어야 합니다. 어떤 빅 데이터 도구로 그렇게 할 수 있습니까?
정답을 선택하십시오.
A. 적색 변속과 SQL
B. 레드 쉬프트와 아테나
C. EMR과 돼지
D. EMR 및 하이브
Answer: D
Explanation:
설명:
Hive는 Java로 작성된 사용자 정의 함수를 통해 사용자 확장을 허용합니다. Amazon EMR은 DynamoDB 및 Amazon S3와의 직접적인 통합을 포함하여 Hive에 대한 많은 개선을했습니다.
예를 들어, Amazon EMR을 사용하면 Amazon S3에서 테이블 분할 영역을 자동으로로드 할 수 있고, 임시 파일을 사용하지 않고 Amazon S3의 테이블에 데이터를 쓸 수 있으며, 사용자 정의 맵 및 / 또는 작업 축소 스크립트와 같이 Amazon S3의 리소스에 액세스 할 수 있습니다 및 추가 라이브러리 참조 :
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf