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Troubleshooting and OptimizationmediumMultiple SelectObjective-mapped

DVA-C02 Troubleshooting and Optimization Practice Question

A DynamoDB table shows throttling on one partition key value. Which two signs point to a hot partition problem?

⚠ Common exam trap

Many candidates confuse overall table capacity with partition-level capacity, assuming throttling only happens when total consumed capacity exceeds provisioned capacity, rather than recognizing that uneven key distribution can cause throttling on a single 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

Most traffic targets the same partition key

A hot partition occurs when a single partition key value receives a disproportionate share of read/write traffic, causing throttling on that partition even if the table's total provisioned capacity is not fully utilized. This imbalance means the partition's capacity is exhausted while other partitions remain underutilized, leading to request throttling for that specific key.

Answer analysis

Option-by-option breakdown

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

  • Most traffic targets the same partition key

    Why this is correct

    DynamoDB distributes data across partitions based on the partition key. When a disproportionate amount of read or write traffic targets a small subset of partition key values, those specific partitions become 'hot.' Each partition has a maximum throughput limit, typically 3000 RCU and 1000 WCU. Exceeding this limit on a single partition, even if the overall table capacity is sufficient, results in throttling requests directed at that hot partition.

  • The table has point-in-time recovery enabled

    Why it's wrong here

    Point-in-time recovery (PITR) is a data protection feature that enables continuous backups of a DynamoDB table, allowing restoration to any second within the last 35 days. While crucial for data durability and disaster recovery, PITR operates independently of a table's read/write capacity and its partitioning strategy. Therefore, enabling or disabling PITR has no direct impact on whether a specific partition experiences throttling due to high request volume.

  • Consumed capacity is uneven despite total table capacity being available

    Why this is correct

    DynamoDB provisions capacity at the table level, but internally distributes this capacity across its underlying partitions. If traffic is unevenly distributed across partition keys, some partitions may consume their allocated share of capacity much faster than others, becoming 'hot.' Even if the total provisioned capacity for the entire table is not fully utilized, requests targeting these hot partitions will be throttled because those specific partitions have exhausted their individual throughput limits.

  • CloudTrail is enabled in all regions

    Why it's wrong here

    CloudTrail is an AWS service that records API calls and related events made by or on behalf of your AWS account, delivering log files to an S3 bucket. Its primary function is for auditing, security analysis, and operational troubleshooting of AWS API activity, not for monitoring or influencing the operational performance of individual DynamoDB partitions. Therefore, enabling CloudTrail, even across all regions, has no bearing on the read/write capacity or throttling behavior of a DynamoDB table.

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Last reviewed: Jun 11, 2026

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