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NEW QUESTION: 1
다음 솔루션 중 DynamoDB가 지원하지 않는 솔루션은 무엇입니까?
A. 해시 보조 인덱스
B. 로컬 보조 인덱스
C. 글로벌 보조 인덱스
D. 해시 기본 키
Answer: A
Explanation:
설명:
DynamoDB에서 보조 인덱스는 쿼리 작업을 지원하기 위한 대체 키와 함께 테이블의 속성 하위 집합을 포함하는 데이터 구조입니다. DynamoDB는 다음 두 가지 유형의 보조 인덱스를 지원합니다.
Local secondary index는 테이블과 동일한 해시 키를 갖지만 범위 키는 다른 인덱스입니다. local secondary index는 local secondary index의 모든 파티션이 동일한 해시 키가있는 테이블 파티션으로 범위가 지정된다는 점에서 "로컬"입니다.
Global secondary index는 해시 및 범위 키가있는 인덱스이며 테이블의 키와 다를 수 있습니다. 인덱스의 쿼리는 모든 파티션에 걸쳐 테이블의 모든 데이터에 걸쳐있을 수 있으므로 글로벌 보조 인덱스는 "글로벌"로 간주됩니다.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DataModel.html

NEW QUESTION: 2
Using the Karvonen method, what is the target heart rate of a 65 year old male who will be working out at
5 0-60% of his functional capacity? He is 6 foot tall and weighs 175 lbs with a resting heart rate of 80 beats per min.
A. 100-110
B. 88-95
C. 148-155
D. 118-125
Answer: D

NEW QUESTION: 3
A company manufactures automobile parts. The company installs IoT sensors on manufacturing machinery.
You must design a solution that analyzes data from the sensors.
You need to recommend a solution that meets the following requirements:
Data must be analyzed in real-time.
Data queries must be deployed using continuous integration.
Data must be visualized by using charts and graphs.
Data must be available for ETL operations in the future.
The solution must support high-volume data ingestion.
Which three actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Develop an application that sends the IoT data to an Azure Data Lake Storage container.
B. Develop an Azure Stream Analytics application that queries the data and outputs to Power BI. Use Azure Data Factory to deploy the Azure Stream Analytics application.
C. Develop an application that sends the IoT data to an Azure Event Hub.
D. Develop an Azure Stream Analytics application that queries the data and outputs to Power BI. Use Azure Pipelines to deploy the Azure Stream Analytics application.
E. Configure an Azure Event Hub to capture data to Azure Data Lake Storage.
F. Use Azure Analysis Services to query the data. Output query results to Power BI.
Answer: B,C,E