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NEW QUESTION: 1
A. Option B
B. Option A
C. Option D
D. Option C
Answer: B
NEW QUESTION: 2
Drag and Drop Question
Match the Layer 2 switching process (from PC A to PC B) with the correct sequence of events.
Answer:
Explanation:
NEW QUESTION: 3
Amazon Elastic MapReduce (Amazon EMR)를 사용하면 방대한 양의 데이터를 분석하고 처리 할 수 있습니다. 클러스터는 Hadoop이라는 오픈 소스 프레임 워크를 사용하여 관리됩니다. Hadoop 작업을 실행하도록 애플리케이션을 설정했습니다. 애플리케이션은 DynamoDB에서 데이터를 읽고 100TB의 임시 파일을 생성합니다.
전체 프로세스는 30 분 동안 실행되며 작업 출력은 S3에 저장됩니다.
이 경우 아래에 언급 된 옵션 중 가장 비용 효율적인 솔루션은 무엇입니까?
A. 온 디맨드 인스턴스를 사용하여 Hadoop 작업을 실행하고 영구 스토리지를 위해 EBS 볼륨으로 구성하십시오.
B. 온 디맨드 인스턴스를 사용하여 Hadoop 작업을 실행하고 출력 파일 스토리지를 위해 임시 스토리지로 구성하십시오.
C. 스팟 인스턴스를 사용하여 Hadoop 작업을 실행하고 영구 데이터 스토리지를 위해 EBS 볼륨으로 구성하십시오.
D. 스팟 인스턴스를 사용하여 Hadoop 작업을 실행하고 출력 파일 스토리지를위한 미묘한 스토리지로 구성하십시오.
Answer: D
Explanation:
설명
AWS EC2 스팟 인스턴스를 사용하면 EC2 컴퓨팅 용량에 대한 자체 가격을 인용 할 수 있습니다. 사용자는 예비 Amazon EC2 인스턴스에 입찰하고 입찰이 현재 스팟 가격을 초과 할 때마다 실행할 수 있습니다.
스팟 인스턴스 요금 모델은 온 디맨드 및 예약 인스턴스 요금 모델을 보완하여 애플리케이션에 따라 컴퓨팅 용량을 얻는 가장 비용 효율적인 옵션을 제공합니다. 스팟 인스턴스의 유일한 과제는 스팟 가격이 입찰 가격을 초과 할 때마다 인스턴스를 종료 할 수 있으므로 데이터 지속성입니다. 현재 시나리오에서 하둡 작업은 임시 작업이며 더 이상 실행되지 않습니다. 영구 DynamoDB에서 데이터를 가져옵니다. 따라서 인스턴스가 종료 되더라도 데이터가 손실되지 않으며 작업을 다시 실행할 수 있습니다. 출력 파일은 큰 임시 파일이므로 비용을 절약하기 위해 데이터를 미묘한 저장소에 저장하는 것이 좋습니다.
http://aws.amazon.com/ec2/purchasing-options/spot-instances/
NEW QUESTION: 4
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 plan to create a chart that displays total Order [Order_amount] by Store [Name].
You need to modify the model to ensure that you can create the chart.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Create a relationship between the Order table and the Store table.
B. To the Order table, add a measure that uses the COUNT ('Order'[Order_amount]) DAX formula.
C. To the Order table, add a column that uses the RELATED('Store' [Store_ID]) DAX formula.
D. To the order table, add a measure that uses the SUM ('Order' [Order_amount]) DAX formula.
Answer: C,D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-tutorial-create-measures
https://docs.microsoft.com/en-us/power-bi/desktop-tutorial-create-calculated-columns