The answer is to add DynamoDB Accelerator (DAX) to cache reads for the hot partition. This is correct because DynamoDB evenly distributes provisioned read capacity units (RCUs) across all partitions, so a single partition can only handle a fraction of the total 1000 RCUs; when all reads for a popular game_id hit the same partition, it exceeds its individual throughput limit, causing throttling even though overall consumed capacity averages only 800 RCUs. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of DynamoDB’s partition-level throughput limits and the distinction between overall and per-partition throttling—a common trap is assuming low average consumption means no issue, when the real problem is a hot key. The search intent around DynamoDB hot partition read throttling for a leaderboard highlights that caching with DAX reduces read pressure on the hot partition without increasing RCUs, making it the most efficient solution. Memory tip: think “hot key = hot partition = DAX to relax.”
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 for a gaming leaderboard. The table has a partition key of 'game_id' and a sort key of 'score'. The read capacity is provisioned at 1000 RCUs. During peak hours, users report high latency when querying the top 10 scores for a specific game. The DynamoDB metrics show ConsumedReadCapacityUnits averaging 800 but occasional throttling. What is the most likely cause and solution?
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 hot game_id partition is exceeding its throughput; add DynamoDB Accelerator (DAX) to cache reads
The hot game_id partition is exceeding its provisioned throughput because DynamoDB distributes RCUs evenly across partitions, and a single partition can only handle up to (1000 RCUs / number of partitions) per second. When a specific game_id becomes popular, all reads hit the same partition, causing throttling despite low overall consumed capacity. Adding DynamoDB Accelerator (DAX) caches the top 10 scores for that partition, reducing read pressure and eliminating throttling without increasing RCUs.
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.
✗
Create a global secondary index with the same key schema to distribute reads
Why it's wrong here
A GSI with the same keys would not solve the hot partition issue; it would still be throttled.
✗
Remove the sort key and use a global secondary index
Why it's wrong here
Removing the sort key would require a different access pattern; a GSI might help but adds complexity.
✗
Increase the provisioned RCUs to 2000
Why it's wrong here
This may help overall but does not address partition-level throttling; also costs more.
✓
The hot game_id partition is exceeding its throughput; add DynamoDB Accelerator (DAX) to cache reads
Why this is correct
DAX caches frequent reads, reducing load on the hot partition and lowering latency.
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates see 'ConsumedReadCapacityUnits averaging 800' and assume overall capacity is sufficient, missing that DynamoDB throttles at the partition level, not the table level, so a hot partition can be throttled even when table-level consumption is below provisioned RCUs.
Detailed technical explanation
How to think about this question
DynamoDB partitions data based on the partition key's hash value, and each partition has a fixed throughput capacity (e.g., 1000 RCUs across N partitions means ~1000/N per partition). DAX acts as an in-memory cache that absorbs repeated read requests for the same items, reducing the number of reads hitting the underlying table partition. In real-world gaming leaderboards, a single game_id can generate thousands of reads per second during peak events, making DAX a cost-effective solution compared to over-provisioning RCUs.
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 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 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: The hot game_id partition is exceeding its throughput; add DynamoDB Accelerator (DAX) to cache reads — The hot game_id partition is exceeding its provisioned throughput because DynamoDB distributes RCUs evenly across partitions, and a single partition can only handle up to (1000 RCUs / number of partitions) per second. When a specific game_id becomes popular, all reads hit the same partition, causing throttling despite low overall consumed capacity. Adding DynamoDB Accelerator (DAX) caches the top 10 scores for that partition, reducing read pressure and eliminating throttling without increasing RCUs.
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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