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NEW QUESTION: 1
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain data information:
* Date[Month] in the mmyyyy format
* Date[Date_ID] in the ddmmyyyy format
* Date[Date_name] in the mm/dd/yyyy format
* Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI desktop to create an analytics solution for the data.
End of repeated scenario.
You need to display the month as a three-letter abbreviation, followed by the year, such as jan2017.
You add a calculated column in Power BI.
Which DAX formula should you use for the calculated column? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view continent.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
CONCATENATE
MMM
References: https://msdn.microsoft.com/en-us/library/ee634811.aspx
NEW QUESTION: 2
기상 시스템은 600 개의 온도 게이지를 모니터링하여 매분마다 온도 샘플을 얻고 각 샘플을 DynamoDB 테이블에 저장합니다. 각 샘플에는 1K의 데이터 쓰기가 포함되며 쓰기는 시간 경과에 따라 고르게 분산됩니다.
목표 테이블에 대해 쓰기 처리량이 얼마나 필요합니까?
A. 1 쓰기 용량 단위
B. 600 쓰기 용량 단위
C. 10 개의 쓰기 용량 단위
D. 3600 쓰기 용량 단위
E. 60 개의 쓰기 용량 단위
Answer: C
NEW QUESTION: 3
A. Option C
B. Option D
C. Option B
D. Option A
Answer: D
Explanation:
Explanation
The following table from the AWS documentation shows the deployment time for each deployment methods.
For more information on Elastic beanstalk deployments, please refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.deploy-existing-version.html
