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Question 161 of 1,711
Data Store ManagementhardMultiple ChoiceObjective-mapped

DEA-C01 Data Store Management Practice Question

A data engineer is troubleshooting an Amazon DynamoDB table that has frequent throttling exceptions for write requests. The table has auto scaling enabled. What is the most likely cause?

⚠ Common exam trap

Many candidates assume auto scaling automatically prevents all throttling, but it only adjusts table-level capacity and cannot fix uneven data access patterns like a hot partition.

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

The partition key is causing a hot partition

Auto scaling adjusts capacity based on utilization, but it cannot prevent throttling caused by a hot partition. If a single partition key value receives a disproportionate share of write traffic, that partition's throughput limit (3,000 WCU or 10 MB per partition) is exceeded, triggering ProvisionedThroughputExceededException. Auto scaling operates at the table level, not per partition, so it cannot resolve this imbalance.

Answer analysis

Option-by-option breakdown

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

  • The partition key is causing a hot partition

    Why this is correct

    Hot partitions throttle even if overall capacity is sufficient.

  • The table's read capacity is set too low

    Why it's wrong here

    Throttling is for write requests, not read.

  • The table's auto scaling is disabled

    Why it's wrong here

    Auto scaling is enabled as per stem.

  • The table is using global tables without conflict resolution

    Why it's wrong here

    Global tables replicate writes but don't cause throttling.

Visual reference

Client Recursive Resolver Root DNS (13 root servers) TLD DNS (.com, .org, …) Authoritative example.com query IP addr answer

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Last reviewed: Jul 4, 2026

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