최신 70-475日本語 무료덤프 - Microsoft Design and Implement Big Data Analytics Solutions (70-475日本語版)
정답:
Explanation
Box 1: LEFT OUTER JOIN
LEFT OUTER JOIN specifies that all rows from the left table not meeting the join condition are included in the result set, and output columns from the other table are set to NULL in addition to all rows returned by the inner join.
Box 2: ON I1.SensorID= I2.SensorID
References: https://docs.microsoft.com/en-us/stream-analytics-query/join-azure-stream-analytics
정답: B
* Azure Data Lake
* Azure Cosmos DB
* Azure Data Factory
정답: A
설명: (DumpTOP 회원만 볼 수 있음)
정답: B
정답: E
정답:
정답: A
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정답:
Explanation
Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
The two view outputs may be joined before presentation
Box 1: Speed
The speed layer processes data streams in real time and without the requirements of fix-ups or completeness.
This layer sacrifices throughput as it aims to minimize latency by providing real-time views into the most recent data.
Box 2: Batch
The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views.
Box 3: Serving
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.
정답: B
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