Microsoft 70-475 Practice Dumps
Question: 1
Which technology should you recommend to meet the technical requirement for analyzing the social
media data?
A. Azure Stream Analytics
B. Azure Data Lake Analytics
C. Azure Machine Learning
D. Azure HDInsight Storm clusters
Answer: A
Azure Stream Analytics is a fully managed event-processing engine that lets you set up real-time
analytic computations on streaming data.
Scalability
Stream Analytics can handle up to 1 GB of incoming data per second. Integration with Azure Event
Hubs and Azure IoT Hub allows jobs to ingest millions of events per second coming from connected
devices, clickstreams, and log files, to name a few. Using the partition feature of event hubs, you can
partition computations into logical steps, each with the ability to be further partitioned to increase
scalability.
Question: 2
DRAG DROP
You need to implement a solution that meets the data refresh requirement for DB1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from
the list of actions to the answer area and arrange them in the correct order.
Answer:
Azure Data Factory can be used to orchestrate the execution of stored procedures. This allows more
complex pipelines to be created and extends Azure Data Factory's ability to leverage the
computational power of SQL Data Warehouse.
From scenario:
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the
advertisers. DB1 is hosted on a Microsoft Azure virtual machine.
Relecloud identifies the following requirements for DB1:
Data generated by the streaming analytics platform must be stored in DB1.
The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
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