Question 1,517 of 1,730
Workload-Specific Database DesigneasyMultiple SelectObjective-mapped

Quick Answer

The answer is adding random suffixes to partition keys, which is a specific implementation of write sharding used to mitigate hot partitions in DynamoDB. This design pattern works by distributing incoming writes across multiple distinct partition key values, preventing any single partition from exceeding the 1,000 WCU limit and creating a bottleneck. On the AWS Certified Database Specialty DBS-C01 exam, this concept tests your understanding of how to handle uneven access patterns, often appearing in scenario-based questions where a high-traffic item like a popular product ID causes throttling. A common trap is confusing this with read-heavy patterns like DAX caching, but write sharding is specifically for write-intensive hot spots. Memory tip: think of "shuffle and spread" — by appending a random suffix, you shuffle the load across partitions, spreading the write capacity evenly.

DBS-C01 Workload-Specific Database Design Practice Question

This DBS-C01 practice question tests your understanding of workload-specific database design. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

Which TWO design patterns are commonly used to handle hot partitions in Amazon DynamoDB? (Choose 2.)

Question 1easymulti select
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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

Write sharding

Write sharding distributes writes across multiple partition keys to prevent a single partition from exceeding the 1,000 WCU limit. Adding random suffixes to partition keys is a specific write sharding technique that spreads writes across many partitions, avoiding hot spots.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Write sharding

    Why this is correct

    Distributes writes across many partition key values.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Decreasing write capacity units

    Why it's wrong here

    Worsens throttling.

  • Using a single partition key

    Why it's wrong here

    Creates hot partitions.

  • Increasing read capacity units

    Why it's wrong here

    Does not solve write hot spots.

  • Adding random suffixes to partition keys

    Why this is correct

    Spreads writes across partitions.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

AWS often tests the misconception that increasing capacity units alone resolves hot partitions, but the real solution requires redistributing the workload across partitions via sharding or suffix-based strategies.

Detailed technical explanation

How to think about this question

Under the hood, DynamoDB partitions data by partition key hash; a hot partition occurs when a single key's traffic exceeds 1,000 WCU or 3,000 RCU. Write sharding with random suffixes (e.g., appending a number 0–N) redistributes writes across multiple logical partitions, which DynamoDB maps to separate physical partitions. In real-world scenarios, this is critical for high-traffic items like a popular user's timeline or a viral product ID.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this DBS-C01 question test?

Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Write sharding — Write sharding distributes writes across multiple partition keys to prevent a single partition from exceeding the 1,000 WCU limit. Adding random suffixes to partition keys is a specific write sharding technique that spreads writes across many partitions, avoiding hot spots.

What should I do if I get this DBS-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 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.