You need to recommend a solution that meets the data requirements for App1. What should you recommend deploying to each availability zone that contains an instance of App1?
A.
an Azure Cosmos DB that uses multi-region writes
B.
an Azure Data Lake store that uses geo-zone-redundant storage (GZRS)
C.
an Azure Storage account that uses geo-zone-redundant storage (GZRS)
A. an Azure Cosmos DB that uses multi-region writes
Reference
https://www.examtopics.com/discussions/microsoft/view/69314-exam-az-305-topic-8-question-2-discussion/
A. an Azure Cosmos DB that uses multi-region writes
Explanation:
The data requirements for App1 specify that each instance will write data to a data store in the same availability zone, and that data written by any App1 instance must be visible to all App1 instances.
Azure Cosmos DB with multi-region writes is a globally distributed database service. It allows you to read and write data (with automatic failover) in the region closest to the users, providing both low latency and high availability. This meets the requirements of App1, as it ensures that data written by any instance is visible to all instances regardless of the region.
Azure Data Lake and Azure Storage with GZRS do not natively support this type of active-active data replication across multiple regions.
Given Answer A is correct
However it is very unclear requirement i.e. NO where in the data requirements specifies that write and read are required instantaneously (Sync repl or multi-writes) by other App instances and hence B and C are either correct since Async replication is NOT rejected in the requirements and if you have to chose between B or C then B due to its more advance features and capability
I guess it is A because only of the multi-writes (Multi-Master) as for Global/regional presence - B and C provide that too
i think for B, C to work they need to be of type RA-GRS because written data need to be visible, so if not RA type then the replicas will not be readable replicas ?
A. an Azure Cosmos DB that uses multi-region writes
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