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NEW QUESTION: 1
개발중인 응용 프로그램은 다섯 자리 정수 키와 20 자 고객 이름, 두 날짜 및 시간 필드 등이 포함 된 플랫 파일에 데이터를 작성해야 합니다.
솔루션은 가능한 한 빨리해야 하며 가장 작은 크기의 데이터 파일을 만들어야 합니다.
다음 중 사용해야 하는 수업은 무엇입니까?
A. StreamWriter
B. FileStream
C. DataWriter
D. BinaryWriter
Answer: D

NEW QUESTION: 2
You analyzed your customer's shipment history data at item and organization level. You found that the customer has many new products with limited history. Does Planning Central support forecasting products with limited history, and what is this process called?
A. No, Planning Central does not support the Holt Exponential Smoothing forecasting method.
B. No, Planning Central does not support the Croston Method for Sparse Demand forecasting method.
C. Yes, Planning Central supports the Regression for Sparse Demand forecasting method, typically used for new products.
D. Yes, Planning Central supports the Holt Exponential Smoothing forecasting method used for newly Introduced products.
E. No, Planning Central does not support the Regression for Sparse Demand forecasting method.
Answer: D

NEW QUESTION: 3
You are designing a solution that ingests, transforms, and stores streams of data from Internet of Things (IoT) devices.
The solution has the following requirements:
* Business users must be able to discover, understand, consume, and contribute to data creation.
* Transform data by using Spark.
* Data analysis must be performed by using a hub-and-spoke business intelligence model.
You need to choose the appropriate products for the solution.
Which technologies should you recommend? To answer, drag the appropriate technologies to the correct requirements. Each technology may be used once, more than one, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/azure/data-catalog/data-catalog-what-is-data-catalog
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-spark
http://gcloud.world/the-cloud-in-the-news/announcing-azure-analysis-services-general-availability-2/