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Monitoring and TroubleshootingmediumMultiple SelectObjective-mapped

DBS-C01 Monitoring and Troubleshooting Practice Question

A company is using Amazon DynamoDB with autoscaling enabled. The table has a partition key of 'order_id' and a sort key of 'order_date'. The application performs both point queries and range queries. Recently, the 'ConsumedReadCapacityUnits' metric shows that the table is consistently using 100% of the provisioned capacity. Which THREE factors should the database engineer investigate to determine the cause?

⚠ Common exam trap

AWS often tests the misconception that autoscaling misconfiguration is the primary cause of high capacity utilization, when in reality the root cause is often inefficient access patterns (Scans) or uneven data distribution (hot keys) that autoscaling cannot fix.

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

Whether the application is using Scan operations instead of Query operations.

Scan operations read the entire table or index before applying filters, consuming far more read capacity than Query operations, which target specific partition and sort key values. If the application is using Scans instead of Queries, it would consistently consume 100% of provisioned capacity even for small result sets, leading to throttling and high utilization.

Answer analysis

Option-by-option breakdown

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

  • Whether autoscaling is configured correctly to add capacity.

    Why it's wrong here

    Autoscaling adjusts provisioned capacity, not consumed capacity.

  • Whether the application is using Scan operations instead of Query operations.

    Why this is correct

    Scans consume more read capacity than queries.

  • Whether the partition key is evenly distributed across partitions.

    Why this is correct

    Uneven distribution leads to hot partitions and throttling.

  • Whether a specific 'order_id' is being accessed frequently, creating a hot key.

    Why this is correct

    Hot keys can cause high consumption on a single partition.

  • Whether a global secondary index is being used for queries.

    Why it's wrong here

    GSI usage does not affect the table's consumed read capacity directly.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.