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Answer: Combine Azure Blob Storage with hot access tier for real-time analytics data and archive tier for compliance data, and use Azure Stream Analytics for real-time data processing, Utilize Azure Blob Storage with cool access tier for frequently accessed data and archive tier for compliance data to optimize costs without sacrificing performance
The best strategy involves a combination of Azure Blob Storage with appropriate access tiers (hot for real-time analytics and archive for compliance data) to balance cost and performance, along with Azure Stream Analytics for real-time data processing. This approach ensures that data is stored cost-effectively based on access patterns while meeting performance requirements for real-time analytics. Azure Blob Storage's cool access tier is also a viable option for frequently accessed data that does not require the highest performance tier, offering a good balance between cost and accessibility.
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Your company is planning to migrate a high-volume, data-intensive application to Azure. The application requires frequent access to data for real-time analytics but also needs to archive older data for compliance purposes. Considering the need to balance performance with cost-effectiveness, which of the following strategies should be recommended for selecting Azure storage solutions and data processing services? (Choose two options)
A
Utilize Azure Blob Storage with cool access tier for frequently accessed data and archive tier for compliance data to optimize costs without sacrificing performance
B
Deploy Azure SQL Database for all data storage needs to ensure high performance, disregarding the cost implications
C
Implement Azure Data Lake Storage Gen2 for all data, leveraging its hierarchical namespace for efficient data management, regardless of access patterns
D
Use Azure Cosmos DB for its global distribution capabilities, even though the application does not require global data access
E
Combine Azure Blob Storage with hot access tier for real-time analytics data and archive tier for compliance data, and use Azure Stream Analytics for real-time data processing