- A
Switch to provisioned capacity and set high read/write units.
Why wrong: Provisioned capacity requires manual management and may still suffer from hot partitions.
- B
Enable auto-scaling and increase the maximum capacity.
Why wrong: On-demand already scales automatically; auto-scaling is for provisioned mode.
- C
Review and optimize the partition key design to avoid hot partitions.
Even with on-demand, hot partitions can cause throttling; optimizing the key distributes load.
- D
Enable DynamoDB Accelerator (DAX) to reduce read latency.
Why wrong: DAX is a cache, not a solution for throttling due to hot partitions.
How to Resolve DynamoDB Throttling Due to Hot Partitions
This SOA-C02 practice question tests your understanding of reliability and business continuity. 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 SysOps administrator is reviewing the reliability of a production system that uses Amazon DynamoDB as its primary data store. The table has on-demand capacity and a single partition key. The application experiences occasional throttling errors during peak hours. Which action would most effectively improve reliability?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"primary"Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
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 and optimize the partition key design to avoid hot partitions.
Option C is correct because throttling errors in DynamoDB with a single partition key are most often caused by uneven access patterns creating hot partitions. Optimizing the partition key design (e.g., using a composite key or adding a suffix to distribute writes) directly addresses the root cause by ensuring requests are spread evenly across partitions, which on-demand capacity alone cannot fix. This improves reliability by preventing throttling at the partition level, regardless of the table's total capacity.
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.
- ✗
Switch to provisioned capacity and set high read/write units.
Why it's wrong here
Provisioned capacity requires manual management and may still suffer from hot partitions.
- ✗
Enable auto-scaling and increase the maximum capacity.
Why it's wrong here
On-demand already scales automatically; auto-scaling is for provisioned mode.
- ✓
Review and optimize the partition key design to avoid hot partitions.
Why this is correct
Even with on-demand, hot partitions can cause throttling; optimizing the key distributes load.
Clue confirmation
The clue word "primary" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable DynamoDB Accelerator (DAX) to reduce read latency.
Why it's wrong here
DAX is a cache, not a solution for throttling due to hot partitions.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume throttling is always a capacity issue (solved by increasing RCU/WCU or enabling auto-scaling), when in reality it is often a data modeling problem where a single partition key creates a hot spot that no amount of capacity scaling can fix.
Detailed technical explanation
How to think about this question
DynamoDB partitions data by partition key hash, and each partition is limited to 3,000 RCU and 1,000 WCU; on-demand capacity scales total throughput but still enforces per-partition limits. A single hot partition can throttle even if the table has ample unused capacity, because the request rate exceeds that partition's hard cap. In practice, adding a random suffix or using a composite key (e.g., concatenating a high-cardinality attribute) distributes writes across partitions, eliminating the bottleneck.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Reliability and Business Continuity — study guide chapter
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FAQ
Questions learners often ask
What does this SOA-C02 question test?
Reliability and Business Continuity — This question tests Reliability and Business Continuity — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Review and optimize the partition key design to avoid hot partitions. — Option C is correct because throttling errors in DynamoDB with a single partition key are most often caused by uneven access patterns creating hot partitions. Optimizing the partition key design (e.g., using a composite key or adding a suffix to distribute writes) directly addresses the root cause by ensuring requests are spread evenly across partitions, which on-demand capacity alone cannot fix. This improves reliability by preventing throttling at the partition level, regardless of the table's total capacity.
What should I do if I get this SOA-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "primary". Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
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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