- A
Enable DynamoDB Streams on the table to offload writes to a Lambda function
Why wrong: Streams capture changes but do not prevent throttling.
- B
Create a DynamoDB global table to distribute writes across regions
Why wrong: Global tables replicate writes, but can still throttle in a single region.
- C
Review the table's partition key design to ensure even distribution of write traffic
Uneven distribution can cause hot partitions and throttling.
- D
Decrease the read capacity to free up resources for writes
Why wrong: Read and write capacities are independent.
- E
Pre-warm the table by temporarily increasing the write capacity manually before the expected spike
Manual pre-warming can avoid auto scaling lag.
Quick Answer
The correct answer involves two actions: pre-warming the table by temporarily increasing write capacity before the expected spike, and addressing the hot partition causing throttling. This is correct because DynamoDB auto scaling can lag behind sudden traffic spikes, leaving the table under-provisioned despite being below the maximum limit, while a hot partition throttles writes even when overall table capacity is not exhausted—a classic symptom of uneven partition key access. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your understanding of DynamoDB’s partitioning model and the difference between table-level and partition-level throttling. A common trap is assuming auto scaling instantly handles all spikes or that global tables or read capacity adjustments solve write throttling. Remember the memory tip: “Hot partition, cold table” — if writes are throttled but total capacity is fine, look for a skewed workload, not a global fix.
DBS-C01 Monitoring and Troubleshooting Practice Question
This DBS-C01 practice question tests your understanding of monitoring and troubleshooting. 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 with auto scaling for read and write capacity. During a traffic spike, write requests are being throttled even though the table's write capacity is below the maximum limit. Which TWO actions should the team take to resolve the throttling?
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
Review the table's partition key design to ensure even distribution of write traffic
Option A is correct because auto scaling may have a lag in provisioning capacity; pre-warming can help. Option C is correct because a hot partition can cause throttling even if overall capacity is not exhausted. Option B is incorrect because write sharding is not a built-in DynamoDB feature. Option D is incorrect because global tables add complexity and are not a direct fix for throttling. Option E is incorrect because decreasing read capacity does not help writes.
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.
- ✗
Enable DynamoDB Streams on the table to offload writes to a Lambda function
Why it's wrong here
Streams capture changes but do not prevent throttling.
- ✗
Create a DynamoDB global table to distribute writes across regions
Why it's wrong here
Global tables replicate writes, but can still throttle in a single region.
- ✓
Review the table's partition key design to ensure even distribution of write traffic
Why this is correct
Uneven distribution can cause hot partitions and throttling.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Decrease the read capacity to free up resources for writes
Why it's wrong here
Read and write capacities are independent.
- ✓
Pre-warm the table by temporarily increasing the write capacity manually before the expected spike
Why this is correct
Manual pre-warming can avoid auto scaling lag.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 DBS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Monitoring and Troubleshooting — study guide chapter
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Monitoring and Troubleshooting — This question tests Monitoring and Troubleshooting — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Review the table's partition key design to ensure even distribution of write traffic — Option A is correct because auto scaling may have a lag in provisioning capacity; pre-warming can help. Option C is correct because a hot partition can cause throttling even if overall capacity is not exhausted. Option B is incorrect because write sharding is not a built-in DynamoDB feature. Option D is incorrect because global tables add complexity and are not a direct fix for throttling. Option E is incorrect because decreasing read capacity does not help writes.
What should I do if I get this DBS-C01 question wrong?
Identify which DBS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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.
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