DBS-C01 Workload-Specific Database Design Practice Question
This DBS-C01 practice question tests your understanding of workload-specific database design. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is designing a database for an IoT application that ingests millions of small sensor readings per second. The data is time-series and queries are mostly range scans over time. The company needs a cost-effective solution with high write throughput. Which AWS service should the database specialist recommend?
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 designed for IoT and operational applications that ingest millions of data points per second. It automatically manages storage tiers (in-memory and magnetic) to optimize cost, and its query engine is optimized for range scans over time, making it the most cost-effective and high-throughput choice for this workload.
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 Redshift with auto-ingest
Why it's wrong here
Redshift is a data warehouse, not suitable for real-time ingestion of millions of writes per second.
✓
Amazon Timestream
Why this is correct
Timestream is a serverless time-series database optimized for IoT data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon RDS for PostgreSQL with pg_partman extension
Why it's wrong here
RDS is not designed for high-frequency time-series ingestion.
✗
Amazon DynamoDB with time-series data modeling
Why it's wrong here
DynamoDB can be used but is less cost-effective and requires careful design.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often default to DynamoDB for high-throughput workloads without recognizing that Timestream is the only AWS service purpose-built for time-series data, offering automatic tiering and optimized time-range queries that DynamoDB cannot match without complex custom sharding and indexing.
Detailed technical explanation
How to think about this question
Timestream uses a columnar storage format and a two-tier storage model: a memory store for recent data (configurable retention) and a magnetic store for historical data, with automatic data movement between tiers. Its query engine leverages a time-based partitioning scheme and a specialized aggregation engine that can skip entire partitions during range scans, reducing I/O and latency. This architecture allows Timestream to ingest up to millions of records per second per table while keeping query response times under a second for typical time-range queries.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
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 designed for IoT and operational applications that ingest millions of data points per second. It automatically manages storage tiers (in-memory and magnetic) to optimize cost, and its query engine is optimized for range scans over time, making it the most cost-effective and high-throughput choice for this workload.
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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Question Discussion
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