- A
Amazon RDS for MySQL with a single table and indexes on conversation_id and timestamp
Why wrong: RDS may not scale to high write throughput without sharding.
- B
Amazon Timestream to store messages as time-series data
Why wrong: Timestream is optimized for IoT and operational metrics, not chat messages.
- C
Amazon Redshift with columnar storage and compression
Why wrong: Redshift is a data warehouse, not designed for real-time transactional workloads.
- D
Amazon DynamoDB with conversation_id as partition key and timestamp as sort key
This model supports high write throughput and efficient queries by conversation.
Question 1,557 of 1,730
DBS-C01 Workload-Specific Database Design Practice Question
This DBS-C01 practice question tests your understanding of workload-specific database design. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. 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 startup is building a real-time chat application that requires storing messages with high write throughput and low-latency reads. The data model is simple: each message has a conversation ID, timestamp, and content. Which database design is MOST appropriate?
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
✓
Amazon DynamoDB with conversation_id as partition key and timestamp as sort key
Amazon DynamoDB with conversation_id as partition key and timestamp as sort key is the most appropriate design because it directly supports high write throughput and low-latency reads for a real-time chat application. The partition key enables even distribution of writes across partitions, while the sort key allows efficient range queries for messages within a conversation ordered by time, matching the access pattern perfectly.
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.
- ✗
Amazon RDS for MySQL with a single table and indexes on conversation_id and timestamp
Why it's wrong here
RDS may not scale to high write throughput without sharding.
- ✗
Amazon Timestream to store messages as time-series data
Why it's wrong here
Timestream is optimized for IoT and operational metrics, not chat messages.
- ✗
Amazon Redshift with columnar storage and compression
Why it's wrong here
Redshift is a data warehouse, not designed for real-time transactional workloads.
- ✓
Amazon DynamoDB with conversation_id as partition key and timestamp as sort key
Why this is correct
This model supports high write throughput and efficient queries by conversation.
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 often choose Amazon RDS for MySQL because they are familiar with relational databases and indexes, but they overlook the fundamental scalability limitations of a single-node RDS instance for high-write workloads, which DynamoDB's distributed architecture solves natively.
Detailed technical explanation
How to think about this question
DynamoDB uses a distributed hash table to partition data based on the partition key, ensuring that writes for different conversation IDs are spread across multiple nodes, achieving high throughput. The sort key (timestamp) is stored in a sorted order within each partition, allowing DynamoDB to use a B-tree-like index for efficient range queries (e.g., 'get messages after a certain time') without scanning the entire partition. In a real-world scenario, this design also supports pagination and time-based filtering with the Query API, which is critical for chat history retrieval.
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 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon DynamoDB with conversation_id as partition key and timestamp as sort key — Amazon DynamoDB with conversation_id as partition key and timestamp as sort key is the most appropriate design because it directly supports high write throughput and low-latency reads for a real-time chat application. The partition key enables even distribution of writes across partitions, while the sort key allows efficient range queries for messages within a conversation ordered by time, matching the access pattern perfectly.
What should I do if I get this DBS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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