Databricks Certified Data Engineer - Professional
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In the context of designing a production streaming system on Azure Databricks, you are tasked with ensuring the system adheres to strict latency SLAs while also being cost-effective. The system must dynamically adjust to varying workloads without manual intervention. Considering these requirements, which of the following strategies would BEST meet both the performance and cost-efficiency goals? (Choose one option)
In the context of designing a production streaming system on Azure Databricks, you are tasked with ensuring the system adheres to strict latency SLAs while also being cost-effective. The system must dynamically adjust to varying workloads without manual intervention. Considering these requirements, which of the following strategies would BEST meet both the performance and cost-efficiency goals? (Choose one option)
Simulated
A
Minimize costs by under-provisioning resources, accepting that latency SLAs may occasionally not be met during peak loads.
2.4%
B
Over-provision resources to guarantee latency SLAs are always met, regardless of the cost implications.
1.6%
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