최신 070-475日本語 무료덤프 - Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版)
정답: C
설명: (DumpTOP 회원만 볼 수 있음)
정답: A
설명: (DumpTOP 회원만 볼 수 있음)
정답:
Explanation
Box 1: Azure Hdinsight logs
Logs contain historical activities.
Box 2: Azure Data Factory alerts
Box 3: Azure Data Factory events
정답: A
정답:
Explanation
References: https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-live-data-visualization-in-power-bi
정답: B
정답: A
설명: (DumpTOP 회원만 볼 수 있음)
* Batch
* Speed
* Serving
정답:
Explanation
Box 1: No
Box 2: No
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.
Box 3: Yes.
We are excited to announce Interactive Queries, a new feature for stream processing with Apache Kafka.
Interactive Queries allows you to get more than just processing from streaming.
Note: Lambda architecture is a popular choice where you see stream data pipelines applied (speed layer).
Architects can combine Apache Kafka or Azure Event Hubs (ingest) with Apache Storm (event processing), Apache HBase (speed layer), Hadoop for storing the master dataset (batch layer), and, finally, Microsoft Power BI for reporting and visualization (serving layer).
정답: B
정답: A