- A
Using DynamoDB adaptive capacity to handle unbalanced access patterns.
Adaptive capacity automatically rebalances partitions to handle hot spots.
- B
Using sparse indexes on rarely accessed attributes.
Why wrong: Sparse indexes are for read efficiency, not writes.
- C
Batch writes using BatchWriteItem.
Batching reduces the number of write requests and improves throughput.
- D
Write sharding using a random suffix on the partition key.
Distributes writes across partitions to avoid hot spots.
- E
Using global tables to distribute writes across regions.
Why wrong: Global tables replicate data, but do not inherently improve write performance.
Question 884 of 1,730
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 THREE design patterns are commonly used to optimize DynamoDB performance for write-heavy workloads?
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
✓
Using DynamoDB adaptive capacity to handle unbalanced access patterns.
Option A is correct because DynamoDB adaptive capacity automatically isolates heavily accessed partitions, allowing them to consume more throughput without throttling other partitions. This is critical for write-heavy workloads with uneven access patterns, as it prevents hot partitions from degrading overall performance.
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.
- ✓
Using DynamoDB adaptive capacity to handle unbalanced access patterns.
Why this is correct
Adaptive capacity automatically rebalances partitions to handle hot spots.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Using sparse indexes on rarely accessed attributes.
Why it's wrong here
Sparse indexes are for read efficiency, not writes.
- ✓
Batch writes using BatchWriteItem.
Why this is correct
Batching reduces the number of write requests and improves throughput.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Write sharding using a random suffix on the partition key.
Why this is correct
Distributes writes across partitions to avoid hot spots.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Using global tables to distribute writes across regions.
Why it's wrong here
Global tables replicate data, but do not inherently improve write performance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse global tables (Option E) as a write optimization technique, but it is primarily a replication feature for availability and read performance, not a direct write throughput optimization.
Detailed technical explanation
How to think about this question
Write sharding (Option D) uses a random suffix on the partition key to distribute writes evenly across partitions, preventing hot spots and maximizing write throughput. BatchWriteItem (Option C) reduces the number of network round trips by grouping up to 25 write requests into a single API call, lowering write latency and cost. Adaptive capacity (Option A) dynamically adjusts throughput allocation per partition based on traffic, which is especially effective when combined with write sharding to handle bursty or skewed workloads.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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: Using DynamoDB adaptive capacity to handle unbalanced access patterns. — Option A is correct because DynamoDB adaptive capacity automatically isolates heavily accessed partitions, allowing them to consume more throughput without throttling other partitions. This is critical for write-heavy workloads with uneven access patterns, as it prevents hot partitions from degrading overall performance.
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: Jul 4, 2026
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