There is a request 'Minimize number of Azure services'. With https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-capture-overview Event capture, data can be stored in DL without using Stream Analytics. In this case just Reional redundancy for DL would be needed.
The question is asking "improve high availability of the real-time data processing solution" and not high availability of data. Hence the correct answer is D
Agree, they also want a stage on data lake 2.
"Stage Inventory data in Azure Data Lake Storage Gen2"
we don't need Stream Analytics to do that. Event Hub enables you to automatically capture the streaming data in Event Hubs in an Azure Blob storage or Azure Data Lake Storage Gen 1 or Gen 2 account of your choice, with the added flexibility of specifying a time or size interval.
Please desconsidere my answer!
Event Hub can capture data to Data Lake and Blob. But I think the key word in the question is: eal-time data PROCESSING solution azure. Event hub is just for capture. Stream Analytics do the processing so I'm going with answer D
I agree, Regional redundancy will be great for data but the processing would be lost. We need a solution for High Availability for PROCESSING and DATA.
By deploying identical Azure Stream Analytics jobs to paired regions in Azure, you ensure redundancy and fault tolerance for the real-time data processing solution. Paired regions in Azure are geographically separated and designed to provide resilience and data protection in the event of a regional outage or failure. If one region becomes unavailable, the other paired region can seamlessly take over the processing workload, ensuring continuous availability of the real-time data processing solution.
D is correct.
The question is asking "improve high availability of the real-time data processing solution" and not high availability of data. Hence the correct answer is
guys, the correct answer is A. It says to limit the amount of different services to use. Databricks is being used as a analytical tool for the datascientist already, so it can also be used for processing jobs.
The answer should be D if the real time data load solution to move data from Azure Data Lake Storage Gen2 to Data Lake Gen2 to Azure SQL DB or Synapse Analytics as analytical data store.
If this way, Power BI and Azure Databricks notebooks will run query against Azure SQL DB or Synapse Analytics.
• Daily inventory data comes from a Microsoft SQL server located on a private network.
• Stage Inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store.
• See inventory levels across the stores. Data must be updated as close to real time as possible.
• Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks notebooks.
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