The answer is to implement a write sharding pattern using a random suffix on the partition key. This works because the shopping cart table’s partition key is `user_id`, which likely creates hot partitions during peak hours when many users update the `quantity` attribute simultaneously; by appending a random suffix, you distribute writes evenly across multiple partitions, preventing any single partition from exceeding its write capacity units (WCUs). On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of partition-level throttling versus table-level capacity—a common trap is to only increase provisioned write capacity without addressing the underlying hot key issue, which can still cause throttling if a single partition is overloaded. Remember the memory tip: “Shard the key, spread the load” to avoid hot partitions.
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.
A company is using Amazon DynamoDB for a shopping cart application. The table has a partition key of `user_id` and a sort key of `item_id`. The application performs frequent updates to the `quantity` attribute. The company notices that write requests are being throttled during peak hours. Which TWO actions would help reduce throttling? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the provisioned write capacity for the table.
Option A is correct because increasing the provisioned write capacity directly raises the number of write capacity units (WCUs) available per second, allowing more write requests to succeed without being throttled. Since the application performs frequent updates to the `quantity` attribute, which consumes write capacity, adding more capacity alleviates throttling during peak hours.
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.
✓
Increase the provisioned write capacity for the table.
Read the scenario before looking for a memorised answer.
✗
Use conditional writes to prevent overwrites.
Why it's wrong here
Conditional writes reduce unnecessary updates but do not address throttling from high write volume.
✓
Implement a write sharding pattern using a random suffix on the partition key.
Why this is correct
Write sharding distributes writes across partitions, reducing hot spots.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable DynamoDB Streams to process writes asynchronously.
Why it's wrong here
Streams capture changes but do not reduce write throttling.
✗
Enable DynamoDB Accelerator (DAX) for the table.
Why it's wrong here
DAX is a read cache and does not improve write throughput.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse read-side solutions (like DAX or Streams) with write-side throttling, or they mistakenly think conditional writes reduce capacity consumption, when in fact they do not address the root cause of insufficient write capacity or hot partitions.
Detailed technical explanation
How to think about this question
Write sharding (Option C) distributes writes across multiple partition key values by appending a random suffix, which spreads the write load across more partitions and avoids hot partitions that cause throttling. Under the hood, DynamoDB allocates throughput evenly across partitions, so a single hot `user_id` partition can throttle even if the table has sufficient total capacity; sharding mitigates this by breaking the hot key into many logical partitions.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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: Increase the provisioned write capacity for the table. — Option A is correct because increasing the provisioned write capacity directly raises the number of write capacity units (WCUs) available per second, allowing more write requests to succeed without being throttled. Since the application performs frequent updates to the `quantity` attribute, which consumes write capacity, adding more capacity alleviates throttling during peak hours.
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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Question Discussion
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