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Management and OperationshardMultiple SelectObjective-mapped

DBS-C01 Management and Operations Practice Question

A company is using Amazon DynamoDB with provisioned capacity for a table that experiences unpredictable traffic spikes. The table's read capacity is often underutilized, but occasionally throttling occurs. Which THREE steps should be taken to improve performance and cost? (Choose THREE.)

⚠ Common exam trap

It's easy for candidates to assume auto scaling alone is sufficient for unpredictable spikes, but auto scaling has a lag and cannot react instantly, making on-demand mode the better choice for truly unpredictable traffic.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Switch the table to on-demand capacity mode.

Switching to on-demand capacity mode eliminates the need to manage provisioned capacity, automatically scaling to handle unpredictable traffic spikes without throttling. This improves performance by preventing throttling during spikes and optimizes cost by charging only for consumed reads/writes, avoiding the waste of underutilized provisioned capacity.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Switch the table to on-demand capacity mode.

    Why this is correct

    On-demand mode automatically accommodates traffic spikes without throttling.

  • Reduce the provisioned read capacity units to save cost.

    Why it's wrong here

    Reducing capacity would increase throttling during spikes.

  • Enable auto scaling for read and write capacity.

    Why this is correct

    Auto scaling helps adjust capacity, though on-demand is more suitable; but auto scaling is still a step to improve.

  • Disable auto scaling to avoid cost fluctuations.

    Why it's wrong here

    Disabling auto scaling would not help with unpredictable spikes.

  • Implement DynamoDB Accelerator (DAX) to cache read requests.

    Why this is correct

    DAX reduces read capacity consumption and improves latency.

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Last reviewed: Jul 4, 2026

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This DBS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DBS-C01 exam.