Databricks Certified Data Engineer - Professional
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You are tasked with designing a production streaming job system on Microsoft Azure that must adhere to strict cost and latency Service Level Agreements (SLAs). The system should efficiently manage resource allocation, ensure fault tolerance, and include robust monitoring mechanisms. Considering the need to balance cost-effectiveness with performance, which of the following strategies would BEST meet these requirements? Choose one option.
Explanation:
Option B is the correct choice because it effectively balances the need for cost control with the requirement to meet latency SLAs. By dynamically adjusting resources based on workload, the system can scale up during peak times to maintain performance and scale down during off-peak times to save costs. Implementing auto-scaling policies and checkpointing ensures fault tolerance, while comprehensive monitoring allows for real-time adjustments to meet SLAs. The other options either neglect cost considerations, fail to adapt to changing workloads, or sacrifice performance for cost savings, making them less suitable for a production environment with strict SLAs.