After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have streaming data that is received by Azure Event Hubs and stored in Azure Blob storage. The data contains social media posts that relate to a keyword of Contoso. You need to count how many times the Contoso keyword and…

QuestionsCategory: DP-201After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have streaming data that is received by Azure Event Hubs and stored in Azure Blob storage. The data contains social media posts that relate to a keyword of Contoso. You need to count how many times the Contoso keyword and…
Admin Staff asked 4 months ago
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have streaming data that is received by Azure Event Hubs and stored in Azure Blob storage. The data contains social media posts that relate to a keyword of
Contoso.
You need to count how many times the Contoso keyword and a keyword of Litware appear in the same post every 30 seconds. The data must be available to
Microsoft Power BI in near real-time.
Solution: You create an Azure Stream Analytics job that uses an input from Event Hubs to count the posts that have the specified keywords, and then send the data directly to Power BI.
Does the solution meet the goal?

A. Yes

B. No












 

Suggested Answer: B

DirectQuery mode is required for automatic page refresh.
Reference:
https://docs.microsoft.com/en-us/power-bi/service-real-time-streaming
 https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends

This question is in DP-201 Designing an Azure Data Solution Exam
For getting Microsoft Certified: Azure Data Engineer Associate Certificate



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