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How can Reserved Capacity be effectively combined with auto-scaling to optimize costs for a DynamoDB table with variable traffic?

hard🚀 Application Q9 of 15
DynamoDB - Cost Optimization and Monitoring
How can Reserved Capacity be effectively combined with auto-scaling to optimize costs for a DynamoDB table with variable traffic?
ARely solely on auto-scaling and avoid Reserved Capacity to reduce upfront costs
BUse only Reserved Capacity and disable auto-scaling to avoid conflicts
CPurchase Reserved Capacity for baseline throughput and enable auto-scaling for spikes
DPurchase Reserved Capacity equal to peak traffic and disable auto-scaling
Step-by-Step Solution
Solution:
  1. Step 1: Understand Reserved Capacity role

    Reserved Capacity covers steady baseline throughput at a discounted rate.
  2. Step 2: Understand auto-scaling role

    Auto-scaling adjusts capacity dynamically to handle traffic spikes.
  3. Step 3: Combine both

    Use Reserved Capacity for predictable load and auto-scaling for unpredictable spikes to optimize cost and performance.
  4. Final Answer:

    Purchase Reserved Capacity for baseline throughput and enable auto-scaling for spikes -> Option C
  5. Quick Check:

    Baseline with Reserved Capacity plus auto-scaling for spikes is cost-effective. [OK]
Quick Trick: Baseline with Reserved Capacity, spikes with auto-scaling [OK]
Common Mistakes:
MISTAKES
  • Disabling auto-scaling when using Reserved Capacity
  • Purchasing Reserved Capacity for peak traffic only
  • Relying solely on auto-scaling without Reserved Capacity

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