Best Option for Data Redundancy during Regional Failures

Correct Answer: B.

Data redundancy is essential in the case of critical workloads.

Azure Data Factory with default Azure managed Integration runtime environment has an option for automatic / Microsoft managed failover.

So, if a disaster or any other thing is causing a region failure, Microsoft managed failover occurs in the paired region.

Then you will be able to access the Azure Data Factory resources after that.

But in this case, the Integration runtime is SHIR.

And it is using Azure VMs for its infrastructure.

In this case, the best option will be to configure Azure Site Recovery for Azure VMs and create automatic/ manual cutover to the failover region.

Option A is incorrect: This will not work for SHIR and only works when the runtime is Azure integrated runtime for the Azure Data Factory.

Option B is correct: Site recovery for Azure VM is the best option.

When a region failure occurs, we can quickly do a failover to the next region.

Option C is incorrect: Azure will not replicate data of Azure VMs by default to paired regions or do an automatic failover.

We have to set up an Azure Site Recovery service.

Option D is incorrect: Similar to option C, automatic failover is not an option for Azure VM, unless it is configured by Site Recovery.

So, it is not the best answer.

In the scenario where you have an Azure Data Factory with Self-Hosted Integration Runtime (SHIR) set up on an Azure VM, and there is a regional failure/disaster, the best option for data redundancy would be to utilize Microsoft managed Regional Failover by Azure Data Factory.

Explanation: Azure Data Factory is a cloud-based data integration service that allows you to create, schedule and manage data pipelines. To ensure high availability of data processing, Azure Data Factory provides regional failover capabilities that allow you to replicate data across regions and automatically switch to a secondary region in the event of a regional failure.

In the case of a regional disaster or failure, if you have enabled Azure Data Factory's regional failover feature, it will automatically switch to the secondary region and continue to process data without any interruption. This feature ensures that your data processing workload remains highly available and can continue to operate even during a regional failure.

Option B, which is to use Azure Site Recovery for VM failover, is not the best option in this case because it focuses on the failover of VMs rather than the data redundancy of the Azure Data Factory. Azure Site Recovery is a disaster recovery solution that provides business continuity by replicating VMs and applications to another Azure region. While this solution is important for disaster recovery, it does not address data redundancy for the Azure Data Factory.

Option C, which states that data is by default replicated to the paired region for Azure VM and does automatic failover, is not entirely accurate in this case. While Azure VMs do have regional replication and failover capabilities, this does not guarantee the data redundancy and failover for the Azure Data Factory, which requires specific configurations.

Option D, which is to utilize automatic Regional Failover for Azure VM, is also not the best option in this case, because it focuses on the failover of VMs rather than the data redundancy of the Azure Data Factory.

Therefore, the best option for data redundancy in the event of a regional disaster or failure for an Azure Data Factory with Self-Hosted Integration Runtime (SHIR) set up on an Azure VM is to utilize Microsoft managed Regional Failover by Azure Data Factory.