- A
Amazon RDS for MySQL
Why wrong: RDS is not optimized for high-volume time-series ingestion and queries.
- B
Amazon Timestream
Timestream is a serverless time-series database designed for IoT and operational applications.
- C
Amazon DynamoDB
Why wrong: DynamoDB can store time-series data but lacks built-in time-series functions.
- D
Amazon Redshift
Why wrong: Redshift is for analytical queries on large datasets, not real-time time-series ingestion.
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 company needs to store and query time-series data from IoT devices. The data arrives in high volume and requires efficient range queries over time. Which database 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 Timestream
Amazon Timestream is a purpose-built time-series database that automatically scales to handle high-volume IoT data and is optimized for efficient range queries over time. It separates storage into a memory store for recent data and a magnetic store for historical data, enabling fast queries across time ranges with built-in time-series functions.
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
Why it's wrong here
RDS is not optimized for high-volume time-series ingestion and queries.
- ✓
Amazon Timestream
Why this is correct
Timestream is a serverless time-series database designed for IoT and operational applications.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB can store time-series data but lacks built-in time-series functions.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is for analytical queries on large datasets, not real-time time-series ingestion.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose DynamoDB (Option C) because of its scalability, but they overlook that DynamoDB lacks native time-series optimization and requires complex workarounds for efficient range queries over time, making Timestream the correct purpose-built choice.
Detailed technical explanation
How to think about this question
Timestream uses a dual-storage architecture: a memory store for recent data (configurable retention, default 24 hours) and a magnetic store for historical data, with automatic data tiering. It supports SQL-compatible queries with time-series-specific functions like `DATE_BIN`, `INTERPOLATE_LINEAR`, and `SMOOTH`, and uses a serverless model that scales ingestion and query compute independently. In real-world IoT scenarios, Timestream can handle millions of data points per second and provides sub-second query latency for recent data.
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.
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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 Timestream — Amazon Timestream is a purpose-built time-series database that automatically scales to handle high-volume IoT data and is optimized for efficient range queries over time. It separates storage into a memory store for recent data and a magnetic store for historical data, enabling fast queries across time ranges with built-in time-series functions.
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: Jun 24, 2026
This DBS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DBS-C01 exam.
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