- A
Use a higher-cardinality partition key that distributes writes across partitions
A low-cardinality hot partition causes throttling; a better key spreads writes more evenly.
- B
Create a global secondary index with the same date key
Why wrong: A GSI with the same hot key can suffer the same partition problem.
- C
Reduce the table's write capacity
Why wrong: Reducing capacity worsens throttling.
- D
Move the table to S3 Glacier Instant Retrieval
Why wrong: S3 Glacier is object storage and not a DynamoDB write scaling solution.
SAA-C03 Design High-Performing Architectures Practice Question
This SAA-C03 practice question tests your understanding of design high-performing architectures. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: dynamoDB distributes data and I/O based on the partition key.. 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 DynamoDB table for a retail API has a partition key based only on the current date. Write throttling occurs during business hours. What is the best design change? The team wants the control to be enforceable during normal operations.
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Use a higher-cardinality partition key that distributes writes across partitions
A is correct because using a partition key based solely on the current date creates a hot partition — all writes for a given day go to a single partition, causing throttling during peak hours. Increasing the partition key's cardinality (e.g., by appending a random suffix or a user ID) distributes writes evenly across multiple partitions, allowing DynamoDB to use its full write capacity without throttling. This design change is enforceable during normal operations because it modifies the data model rather than relying on temporary capacity adjustments.
Key principle: DynamoDB distributes data and I/O based on the partition key.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use a higher-cardinality partition key that distributes writes across partitions
Why this is correct
A low-cardinality hot partition causes throttling; a better key spreads writes more evenly.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
DynamoDB distributes data and I/O based on the partition key.
- ✗
Create a global secondary index with the same date key
Why it's wrong here
A GSI with the same hot key can suffer the same partition problem.
- ✗
Reduce the table's write capacity
Why it's wrong here
Reducing capacity worsens throttling.
- ✗
Move the table to S3 Glacier Instant Retrieval
Why it's wrong here
S3 Glacier is object storage and not a DynamoDB write scaling solution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse throttling with insufficient capacity and choose to reduce capacity (Option C) or add an index (Option B), missing the root cause — a hot partition due to a low-cardinality partition key — which is a classic DynamoDB design anti-pattern tested in SAA-C03.
Detailed technical explanation
How to think about this question
DynamoDB partitions data based on the partition key's hash value; a low-cardinality key like a date causes all writes to hash to the same partition, capping throughput at 1,000 WCU per partition (or 3,000 RCU). By adding a high-cardinality attribute (e.g., a UUID or a hash of user_id + date), writes are distributed across partitions, allowing the table to scale linearly with provisioned capacity. In practice, a common pattern is to use a composite key like 'YYYY-MM-DD#<random_suffix>' to ensure even distribution while still enabling date-based queries via a GSI or filter expression.
KKey Concepts to Remember
- DynamoDB distributes data and I/O based on the partition key.
- A 'hot partition' occurs when a single partition key value receives excessive requests.
- High-cardinality partition keys distribute writes more evenly across partitions.
- Evenly distributed writes prevent throttling and allow DynamoDB to scale horizontally.
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
DynamoDB distributes data and I/O based on the partition key.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Review dynamoDB distributes data and I/O based on the partition key., then practise related SAA-C03 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design High-Performing Architectures — This question tests Design High-Performing Architectures — DynamoDB distributes data and I/O based on the partition key..
What is the correct answer to this question?
The correct answer is: Use a higher-cardinality partition key that distributes writes across partitions — A is correct because using a partition key based solely on the current date creates a hot partition — all writes for a given day go to a single partition, causing throttling during peak hours. Increasing the partition key's cardinality (e.g., by appending a random suffix or a user ID) distributes writes evenly across multiple partitions, allowing DynamoDB to use its full write capacity without throttling. This design change is enforceable during normal operations because it modifies the data model rather than relying on temporary capacity adjustments.
What should I do if I get this SAA-C03 question wrong?
Review dynamoDB distributes data and I/O based on the partition key., then practise related SAA-C03 questions on the same topic to reinforce the concept.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
DynamoDB distributes data and I/O based on the partition key.
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Last reviewed: Jun 11, 2026
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