A gaming company has recently acquired a successful iOS game, which is particularly popular during the holiday season. The company has decided to add a leaderboard to the game that uses Amazon…

Question

Options

• ADynamoDB Streams
• BDynamoDB with DynamoDB Accelerator
• CDynamoDB with on-demand capacity mode
• DDynamoDB with provisioned capacity mode with Auto Scaling

• A
  12% (4)
• B
  6% (2)
• C
  3% (1)
• D
  79% (27)

Explanation

Why D is Correct: DynamoDB with provisioned capacity mode and Auto Scaling is the most cost-effective solution for predictable, gradually increasing traffic like a holiday season ramp-up. Auto Scaling automatically adjusts capacity in response to changing demand patterns, ensuring you only pay for what you need while maintaining performance - this is cheaper than on-demand mode for sustained, foreseeable workloads.

Why the Others Are Wrong:

• A (DynamoDB Streams): Streams is a feature for capturing data change events (like a changelog), not a scaling or capacity solution - it doesn't address the leaderboard's performance needs at all.
• B (DynamoDB with DAX): DAX (DynamoDB Accelerator) is an in-memory cache that reduces read latency, but it adds cost without being necessary here; the question prioritizes cost optimization, not microsecond latency.
• C (DynamoDB on-demand mode): On-demand mode is great for unpredictable or spiky traffic, but it costs more per request than provisioned capacity. Since the holiday ramp-up is expected and gradual, provisioned with Auto Scaling is cheaper.

Memory Tip: Think of it this way - "Predictable = Provisioned, Unpredictable = On-Demand." When you can anticipate growth (like a holiday season), Auto Scaling handles it efficiently at lower cost. Save on-demand for true surprises.

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