The answer is that the auto scaling configuration has a maximum capacity setting that prevents scaling beyond a certain limit. Even though the consumed read capacity of 8,000 RCU represents 80% utilization against the provisioned 10,000 RCU—well above the 70% target—DynamoDB auto scaling will not increase capacity if the table’s maximum provisioned capacity has been set too low. This scenario tests your understanding that auto scaling operates within explicit upper and lower bounds; without a sufficient maximum, the service cannot scale out regardless of sustained demand. On the AWS Certified Database Specialty DBS-C01 exam, this is a common trap where candidates assume auto scaling will always respond to high utilization, forgetting that the maximum capacity acts as a hard ceiling. A key memory tip is “max before min”—always check the maximum capacity first when DynamoDB auto scaling is not scaling up, as it is the most frequent culprit for stalled scaling during peak loads.
DBS-C01 Monitoring and Troubleshooting Practice Question
This DBS-C01 practice question tests your understanding of monitoring and troubleshooting. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 uses Amazon DynamoDB with auto scaling enabled. The application experiences increased latency during peak hours. The DynamoDB table has a read capacity of 10,000 RCU and write capacity of 5,000 WCU. The auto scaling target utilization is 70%. During peak hours, the consumed read capacity reaches 8,000 RCU, but auto scaling does not increase capacity. What is the most likely reason?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The auto scaling configuration has a maximum capacity that prevents scaling beyond a certain limit.
Auto scaling uses the consumed capacity metric over a period. If the consumed capacity is consistently at 8,000 RCU, the target utilization is 70% of provisioned (10,000 RCU), so the current utilization is 80%, which is above the target. Auto scaling should increase capacity. However, auto scaling has a cooldown period and also scales based on sustained consumption. Option A is not correct because auto scaling can scale out. Option B is not correct because the table is not throttled yet. Option C is correct because auto scaling might be configured with a maximum capacity that limits scaling. Option D is not correct because auto scaling can increase RCU if needed.
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.
✗
The consumed capacity is still below the provisioned capacity, so no throttling occurs, and auto scaling does not trigger.
Why it's wrong here
Auto scaling is based on utilization, not just throttling.
✓
The auto scaling configuration has a maximum capacity that prevents scaling beyond a certain limit.
Why this is correct
If the maximum capacity is set to 10,000 RCU, auto scaling cannot increase further.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Auto scaling for DynamoDB does not support increasing read capacity; it only decreases capacity.
Why it's wrong here
Auto scaling supports both increasing and decreasing capacity.
✗
Auto scaling only scales out when the consumed capacity exceeds the provisioned capacity.
Why it's wrong here
Auto scaling can scale out before reaching provisioned capacity when utilization exceeds the target.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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.
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: The auto scaling configuration has a maximum capacity that prevents scaling beyond a certain limit. — Auto scaling uses the consumed capacity metric over a period. If the consumed capacity is consistently at 8,000 RCU, the target utilization is 70% of provisioned (10,000 RCU), so the current utilization is 80%, which is above the target. Auto scaling should increase capacity. However, auto scaling has a cooldown period and also scales based on sustained consumption. Option A is not correct because auto scaling can scale out. Option B is not correct because the table is not throttled yet. Option C is correct because auto scaling might be configured with a maximum capacity that limits scaling. Option D is not correct because auto scaling can increase RCU if needed.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company uses Amazon DynamoDB with auto scaling enabled. During a sales event, the write capacity consumption increases, but the table does not scale up as expected, resulting in throttled requests. The table has read/write capacity mode set to 'Provisioned' with auto scaling configured. What should the team check first to troubleshoot the issue?
easy
✓ A.Check the target utilization percentage in the auto scaling policy
B.Verify that the auto scaling role has the necessary IAM permissions
C.Check whether the table class is DynamoDB Standard-IA
D.Check if a global secondary index (GSI) has its own write capacity that is throttling
Why A: Option B is correct because auto scaling uses a target utilization percentage; if it's set too high, it may not trigger scaling soon enough. Option A is incorrect because auto scaling controls the provisioned capacity, not the table class. Option C is incorrect because auto scaling does not require manual approval. Option D is incorrect because auto scaling can increase capacity up to the maximum limit, regardless of the GSI.
Variation 2. A database team uses Amazon DynamoDB with auto scaling enabled. They observe frequent throttling on a table during peak hours. The table's read capacity is set to 5000 RCU with auto scaling range 3000-7000. The consumed read capacity graph shows spikes to 6000 RCU but throttling occurs at 5500. What is the most likely cause?
Why D: Option D is correct because auto scaling uses a target utilization (default 70%) and cannot scale fast enough for sudden spikes. Option A is wrong because auto scaling is enabled. Option B is wrong because WCU are separate. Option C is wrong because partition count doesn't directly cause throttling if RCU is sufficient.
Variation 3. A company has an Amazon DynamoDB table with auto scaling enabled. During a traffic spike, the application experiences high write latencies. Which action should the company take to troubleshoot the latency issue?
easy
✓ A.Monitor the ThrottledWriteEvents metric in CloudWatch.
B.Switch the table to on-demand capacity mode.
C.Disable auto scaling and manually increase write capacity.
D.Increase the read capacity of the table.
Why A: Option B is correct because CloudWatch metrics for ThrottledWriteEvents help identify if auto scaling is keeping up. Option A is wrong because disabling auto scaling may cause throttling. Option C is wrong because changing to on-demand may not be cost-effective and is not a troubleshooting step. Option D is wrong because increasing read capacity does not affect write latency.
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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.
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