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 throughput 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 architecture review board prefers a managed AWS-native control.
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 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
Using only the current date as a partition key creates a hot partition because all writes for the day target a single partition, leading to throttling. A higher-cardinality partition key, such as a composite key combining date with a unique attribute like user ID or order ID, distributes writes evenly across multiple partitions, fully utilizing DynamoDB's provisioned throughput. This is the best managed-native solution to resolve write throttling without changing the table's capacity or moving data.
Key principle: DynamoDB distributes data and throughput 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 throughput 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 think adding a GSI or adjusting capacity solves throttling, but the root cause is the partition key's low cardinality, which only a higher-cardinality key can fix by distributing writes across partitions.
Detailed technical explanation
How to think about this question
DynamoDB partitions data based on the partition key's hash value; a single date value hashes to one partition, capping throughput at 3,000 RCU or 1,000 WCU per partition (for provisioned mode). By using a composite key like 'YYYY-MM-DD#UserID', writes spread across partitions, each with independent throughput limits, enabling linear scaling. In real-world retail APIs, this pattern is critical during flash sales or peak hours where millions of writes per second must be handled without throttling.
KKey Concepts to Remember
DynamoDB distributes data and throughput based on the partition key.
A 'hot partition' occurs when a single partition receives disproportionately high traffic.
High-cardinality partition keys distribute data and requests more evenly.
Combining attributes or adding a random suffix can improve partition key cardinality.
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 throughput 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 throughput based on the partition key., then practise related SAA-C03 questions on the same topic to reinforce the concept.
Design High-Performing Architectures — This question tests Design High-Performing Architectures — DynamoDB distributes data and throughput 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 — Using only the current date as a partition key creates a hot partition because all writes for the day target a single partition, leading to throttling. A higher-cardinality partition key, such as a composite key combining date with a unique attribute like user ID or order ID, distributes writes evenly across multiple partitions, fully utilizing DynamoDB's provisioned throughput. This is the best managed-native solution to resolve write throttling without changing the table's capacity or moving data.
What should I do if I get this SAA-C03 question wrong?
Review dynamoDB distributes data and throughput 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 throughput based on the partition key.
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