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Microsoft Certified: Azure Fundamentals · Microsoft
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The correct answer is B. No. Explanation: Deploying virtual machines across two or more scale sets does not ensure availability in the event of a single data center failure. Scale sets distribute instances across fault domains and update domains within the same availability zone, but they do not inherently span across different data centers or availability zones. To ensure services are available if a single data center fails, you would need to distribute the virtual machines across two or more availability zones within the same region. This ensures redundancy and high availability even in the event of a data center outage. Let me know if you'd like further clarification!
From chatgpt Explanation: Scale Sets: Azure Virtual Machine Scale Sets allow you to deploy and manage a group of identical VMs. While scale sets provide scalability and manageability, they do not guarantee fault tolerance unless explicitly configured to span availability zones. Data Center Failure: To protect against a single data center failure, you need to distribute VMs across availability zones (which are physically separate data centers within a region) or across regions (geographically separate locations). Correct Solution: Deploy the virtual machines to multiple availability zones within the same Azure region. This ensures fault tolerance because if one data center (zone) fails, the VMs in other zones remain operational. Example: Use Azure's Availability Zones feature for high availability. Alternatively, if you need even higher fault tolerance, deploy virtual machines across multiple regions.
No. Deploying virtual machines to two or more scale sets alone does not ensure availability if a single data center fails. To achieve high availability, you should deploy the virtual machines across multiple availability zones within a region. This way, if one data center (or availability zone) fails, the services can continue running in the other zones.