Microsoft Azure Fundamentals AZ-900
Get started today
Ultimate access to all questions.
Comments
Loading comments...
Ultimate access to all questions.
In the context of designing a storage solution for a scientific research project that involves storing and analyzing large volumes of sensor data requiring real-time accessibility and high durability, consider the following constraints: the solution must be cost-effective, comply with global data residency requirements, and support scalability for future data growth. Which of the following Azure Storage services and features combinations would best meet these requirements? (Choose two options.)
A
Azure Blob Storage with Zone-Redundant Storage (ZRS) for high durability within a region and Azure Cosmos DB for globally distributed, real-time data processing.
B
Azure File Storage with Geo-Redundant Storage (GRS) for cross-regional durability and Azure SQL Database for structured data processing, though it may not scale as efficiently for unstructured sensor data.
C
Azure Table Storage with Locally Redundant Storage (LRS) for cost-effective storage within a single location and Azure HDInsight for big data analytics, but lacks global redundancy.
D
Azure Blob Storage with Read-Access Geo-Zone-Redundant Storage (RA-GZRS) for high durability and read access across regions and Azure Databricks for scalable, real-time analytics and machine learning capabilities.
E
Azure Blob Storage with Geo-Zone-Redundant Storage (GZRS) for high durability across regions and Azure Stream Analytics for real-time data processing, ensuring compliance with data residency requirements.