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As a Microsoft Fabric Analytics Engineer Associate, you are responsible for optimizing the Fabric environment to accommodate an increasing demand for data analytics resources. Your organization emphasizes cost-effectiveness, performance, and scalability. You need to evaluate the following strategies to manage Fabric capacity effectively. Choose the option that BEST addresses these requirements by considering both immediate and long-term scalability needs. (Choose one)
A
Continuously monitor Fabric resource usage (CPU, memory, storage) and manually adjust capacity settings based on observed patterns, ensuring no over-provisioning.
B
Implement auto-scaling policies that dynamically adjust Fabric capacity based on real-time workload demands, with predefined rules to balance performance and cost.
C
Allocate fixed, dedicated resources for critical workloads only, ignoring the potential for fluctuating demand across other workloads.
D
Use Azure Monitor and Azure Cost Management solely for tracking usage and costs, without implementing any changes to capacity settings.