In a cloud-based data pipeline, ________ allows for dynamic scaling based on workload demand.
- Auto-scaling
- Caching
- Data sharding
- Load balancing
Auto-scaling is a crucial feature in cloud-based data pipelines that enables automatic adjustment of computing resources based on workload demand. By dynamically provisioning or deallocating resources such as compute instances or storage capacity, auto-scaling ensures optimal performance and cost-efficiency, allowing data pipelines to handle fluctuating workloads effectively without manual intervention.
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