The answer is hot partitions due to a skewed access pattern on the partition key 'game_id'. This is correct because even with DynamoDB on-demand capacity, which theoretically handles unlimited throughput, each individual partition is still capped at 1,000 write capacity units per second. When all write traffic for a popular new game targets the same 'game_id', that single partition becomes a hot partition, exceeding its limit and causing throttling even though the overall table has ample capacity. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding that on-demand mode scales table-level throughput but does not eliminate per-partition limits—a common trap is assuming on-demand means no throttling ever. The fix involves designing a more granular partition key, such as combining 'game_id' with a random suffix or a calculated attribute to distribute writes evenly. Memory tip: think of DynamoDB partitions like checkout lanes—on-demand adds more lanes to the store, but if every customer rushes to lane one, that lane still bottlenecks.
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. 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 on-demand capacity for a gaming application. During a new game launch, write traffic spikes to 50,000 writes per second, but the application experiences throttling. The DynamoDB table has a partition key of 'game_id' and a sort key of 'timestamp'. What is the MOST likely cause of throttling?
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
✓
Hot partitions due to a skewed access pattern on the partition key 'game_id'.
Option C is correct because DynamoDB on-demand capacity automatically scales to handle traffic spikes, but it still has per-partition throughput limits. With 'game_id' as the partition key, a single popular game can create a hot partition where all writes target the same partition, exceeding the partition's maximum write capacity (1,000 write capacity units per partition) and causing throttling, even though the overall table capacity is sufficient.
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 table has not enabled auto-scaling for writes.
Why it's wrong here
On-demand capacity does not use auto-scaling; it adjusts automatically.
✗
The table's on-demand capacity is insufficient for the write spike.
Why it's wrong here
On-demand capacity scales automatically, but still has partition-level limits.
✓
Hot partitions due to a skewed access pattern on the partition key 'game_id'.
Why this is correct
If many writes go to the same partition key, that partition can be throttled even with on-demand capacity.
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.
✗
The sort key is not optimal for write-heavy workloads.
Why it's wrong here
Sort key does not affect write distribution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume on-demand capacity eliminates all throttling, but they overlook DynamoDB's per-partition throughput limits, which can cause throttling on hot partitions even with on-demand mode.
Detailed technical explanation
How to think about this question
DynamoDB on-demand capacity provides up to 40,000 read and 40,000 write request units per second per table, but each partition can handle only 1,000 write capacity units (WCU) and 3,000 read capacity units (RCU). When all writes target the same partition key value (e.g., a single game_id), that partition becomes a bottleneck, causing throttling even if the table's total capacity is not exhausted. This is a common issue with high-traffic gaming applications where a new game launch concentrates writes on one partition.
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.
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Hot partitions due to a skewed access pattern on the partition key 'game_id'. — Option C is correct because DynamoDB on-demand capacity automatically scales to handle traffic spikes, but it still has per-partition throughput limits. With 'game_id' as the partition key, a single popular game can create a hot partition where all writes target the same partition, exceeding the partition's maximum write capacity (1,000 write capacity units per partition) and causing throttling, even though the overall table capacity is sufficient.
What should I do if I get this DEA-C01 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: "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.
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Question Discussion
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