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Prepare and test your skills

Free sample question, answered and explained below. The AZ-900 Microsoft Azure Fundamentals Exam practice bank has 688 more like it. Try 10 free: instant score, no account.
An online retail organization experiences significant, unpredictable traffic spikes during seasonal promotional sales and quiet periods during weekdays. The organization needs to satisfy two main requirements:
Which cloud approach directly addresses these requirements?
Fixed high-tier provisioning involves deploying a single, oversized compute instance with sufficient CPU, memory, and I/O capacity to handle the highest projected traffic spikes that the organization might ever experience.
This approach fails to meet both cost efficiency and reliability goals:
The workload were a non-critical, legacy monolithic application that cannot be clustered or scaled across multiple nodes and operates under predictable, continuous maximum compute utilization.
Vertical scaling (scaling up) involves increasing the physical capacity of an existing virtual machine by adding more CPU cores, RAM, or storage to the single running instance through manual configuration changes.
The application were a database running on a single server that requires occasional scheduled upgrades during maintenance windows rather than automated adjustments during dynamic load surges.
Cold disaster recovery is a business continuity strategy where a secondary environment is configured in an alternate geographic region, but the secondary compute instances remain turned off or unprovisioned until a catastrophic disaster occurs.
The primary goal were to provide a cost-effective emergency backup plan for rare, catastrophic regional disasters with an acceptable recovery window of several hours.
Horizontal scalability (scaling out and in) refers to the ability to add or remove identical resource instances—such as virtual machines or containers—based on fluctuating demand. High availability ensures that systems remain accessible and operational over extended periods with minimal downtime by eliminating single points of failure and distributing workloads across multiple instances or physical locations.
Combining automated horizontal scaling with high availability provides the ideal architectural foundation for web applications with variable workloads. It simultaneously solves performance degradation under load and eliminates cost waste during low-traffic windows.
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