The answer is a hot key or uneven partition access pattern causing throttling. Even when overall DynamoDB provisioned capacity appears sufficient, a single partition receiving a disproportionate share of traffic—a hot key—can exhaust that partition’s throughput, triggering ProvisionedThroughputExceededException errors despite multiple capacity increases. This scenario tests your understanding of DynamoDB’s internal partition architecture: each partition has a fixed throughput limit, and uneven access patterns bypass the global capacity allocation. On the AWS Certified Database Specialty DBS-C01 exam, this is a classic trap where candidates assume more RCUs/WCUs always solve throttling, but the real culprit is often a skewed workload. Remember the memory tip: “Hot key, cold table”—a single popular item can starve the rest of the table, so always inspect partition distribution before scaling capacity.
DBS-C01 Monitoring and Troubleshooting Practice Question
This DBS-C01 practice question tests your understanding of monitoring and troubleshooting. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 high-traffic application. The application is experiencing intermittent `ProvisionedThroughputExceededException` errors. The team has already increased the read and write capacity units multiple times but the errors persist. Which of the following is the MOST likely cause of the issue?
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
✓
A hot key or uneven partition access pattern is causing throttling
Option B is correct because hot keys or uneven access patterns can cause throttling even if overall provisioned capacity appears sufficient. Option A is wrong because increasing capacity units should reduce throttling if the issue is simply capacity. Option C is wrong because Global Tables replication does not cause throttling on the source table. Option D is wrong because DynamoDB Accelerator (DAX) reduces read load on the table, not write, and improper use might cause cache misses but not ProvisionedThroughputExceededException.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
DynamoDB Accelerator (DAX) is not properly configured
Why it's wrong here
DAX is a caching layer; misconfiguration may cause cache misses but not ProvisionedThroughputExceededException.
✗
The table is part of a DynamoDB Global Table and replication is causing conflicts
Why it's wrong here
Global Tables replication does not cause ProvisionedThroughputExceededException.
✗
The provisioned capacity is not increased enough
Why it's wrong here
Increasing capacity units should help, but the errors persist, indicating another issue.
✓
A hot key or uneven partition access pattern is causing throttling
Why this is correct
Hot keys can exceed the per-partition throughput limits, leading to throttling even if overall capacity is adequate.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
Monitoring and Troubleshooting — This question tests Monitoring and Troubleshooting — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: A hot key or uneven partition access pattern is causing throttling — Option B is correct because hot keys or uneven access patterns can cause throttling even if overall provisioned capacity appears sufficient. Option A is wrong because increasing capacity units should reduce throttling if the issue is simply capacity. Option C is wrong because Global Tables replication does not cause throttling on the source table. Option D is wrong because DynamoDB Accelerator (DAX) reduces read load on the table, not write, and improper use might cause cache misses but not ProvisionedThroughputExceededException.
What should I do if I get this DBS-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
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?
Static NAT maps one inside address to one outside address.
About these practice questions
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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 is using Amazon DynamoDB for a session management application. The application is experiencing higher latency during peak hours. The DynamoDB table uses on-demand capacity. Which TWO steps should a database specialist take to diagnose the issue?
medium
A.Review the table's ReadCapacityUnits and WriteCapacityUnits to ensure they are sufficient.
B.Examine the CloudWatch metric for UserErrors to identify client-side issues.
✓ C.Check the CloudWatch metric for ThrottledRequests to see if any requests are being throttled.
D.Enable DynamoDB Streams to capture all write events for analysis.
✓ E.Analyze the PartitionKey metrics to detect if a single partition is receiving a disproportionate amount of traffic.
Why C: Checking ThrottledRequests helps identify if requests are being throttled, even with on-demand. Reviewing PartitionKey metrics helps detect hot partitions. ReadCapacityUnits and WriteCapacityUnits are not applicable for on-demand. Latency metrics show end-to-end performance but are less diagnostic.
Variation 2. A developer is troubleshooting an application that uses Amazon DynamoDB. The application sometimes receives ProvisionedThroughputExceededException errors. The table has on-demand capacity mode. The errors occur in short bursts. What is the most likely cause?
medium
A.The table has a low read/write capacity mode limit that needs to be increased.
B.The global secondary index (GSI) has a different throughput limit.
C.The table has reached the maximum provisioned throughput.
✓ D.The request rate exceeds the partition's throughput capacity in a short burst.
Why D: On-demand capacity mode can handle up to the table's previous peak traffic. However, if traffic spikes suddenly, DynamoDB might throttle. Option D is correct because on-demand has a limit on the maximum throughput per partition. Option A is wrong because indexes share the table's capacity. Option B is wrong because on-demand does not have provisioned limits. Option C is wrong because the table is on-demand, not provisioned.
Variation 3. A developer is troubleshooting an application that uses Amazon DynamoDB. The application is experiencing throttled requests (ProvisionedThroughputExceededException). Which CloudWatch metric should be monitored to troubleshoot this issue?
easy
A.ThrottledRequests
B.SuccessfulRequestLatency
C.UserErrors
✓ D.ConsumedWriteCapacityUnits
Why D: Option C is correct because ConsumedWriteCapacityUnits shows actual usage; comparing with ProvisionedWriteCapacityUnits helps identify throttling. Option A is wrong because UserErrors is for client-side errors. Option B is wrong because ThrottledRequests is a metric but not a CloudWatch metric name; the actual metric is ConsumedWriteCapacityUnits. Option D is wrong because SuccessfulRequestLatency is about latency, not throttling.
Last reviewed: Jun 20, 2026
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