The answer is Amazon Timestream, a purpose-built time-series database optimized for write-heavy IoT data and time-stamped event streams. This is the correct choice because Timestream is specifically architected to ingest millions of writes per second from devices or applications—like social media user actions—while providing built-in aggregation functions (e.g., COUNT, AVG over time windows) for low-latency dashboard queries, all without the need for manual scaling or complex ETL. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your ability to distinguish between general-purpose databases and purpose-built services for time-series workloads; a common trap is selecting DynamoDB for its write scalability, but DynamoDB lacks native time-based aggregations and would require additional Lambda or Kinesis processing to achieve the same result. Memory tip: think “Timestream for time-streams”—if your data is a sequence of timestamped events and you need to ask “how many per hour,” Timestream is the streamlined answer.
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 social media analytics platform. The workload is write-heavy, with millions of events per day containing user actions (likes, shares, comments). The data model is simple: each event is a JSON document with a timestamp, user ID, and action type. Queries are primarily aggregations over time (e.g., count of likes per hour) and require low-latency responses for dashboards. The team wants to minimize operational overhead and cost. Which database service is most appropriate?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Timestream, a purpose-built time-series database.
Option B is correct. Amazon Timestream is optimized for time-series data, supports high write throughput, and provides built-in aggregation functions for time-based queries. Option A (DynamoDB) is not ideal for time-series aggregations without additional processing. Option C (RDS for PostgreSQL) can handle the workload but may require more management and scaling effort. Option D (ElastiCache) is a cache, not a durable database.
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 ElastiCache for Redis to store aggregated counts.
Why it's wrong here
ElastiCache is not a durable data store.
✗
Amazon RDS for PostgreSQL with TimescaleDB extension.
Why it's wrong here
Possible but adds operational overhead; not as serverless as Timestream.
✓
Amazon Timestream, a purpose-built time-series database.
Why this is correct
Timestream is designed for high write throughput and time-based aggregations.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon DynamoDB with global secondary indexes on timestamp and action type.
Why it's wrong here
DynamoDB is not optimized for time-series aggregations; would require scan operations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 DBS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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, a purpose-built time-series database. — Option B is correct. Amazon Timestream is optimized for time-series data, supports high write throughput, and provides built-in aggregation functions for time-based queries. Option A (DynamoDB) is not ideal for time-series aggregations without additional processing. Option C (RDS for PostgreSQL) can handle the workload but may require more management and scaling effort. Option D (ElastiCache) is a cache, not a durable database.
What should I do if I get this DBS-C01 question wrong?
Identify which DBS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A startup is building a social media analytics platform that requires storing time-series data with frequent writes and queries for the last hour. Which AWS database service is BEST suited for this workload?
easy
✓ A.Amazon Timestream
B.Amazon RDS with MySQL
C.Amazon Neptune
D.Amazon DynamoDB
Why A: Option C is correct because Timestream is purpose-built for time-series data and supports high-frequency writes and recent data queries. Option A is wrong because RDS is not optimized for time-series. Option B is wrong because DynamoDB can store timestamps but lacks time-series optimizations. Option D is wrong because Neptune is a graph database.
Variation 2. A company wants to store and analyze time-series sensor data from millions of IoT devices. The data is append-only and rarely updated. Queries aggregate data over time ranges. Which AWS database service is most cost-effective and performant for this workload?
easy
A.Amazon DynamoDB with time-series design pattern
✓ B.Amazon Timestream
C.Amazon Redshift
D.Amazon RDS for MySQL with partitioning by date
Why B: Option A is correct because Timestream is purpose-built for time-series data, offering automatic tiering and optimized aggregation queries. Option B (DynamoDB) can handle time-series but requires careful design and is less cost-effective for large-scale. Option C (RDS) is relational and not optimized for time-series. Option D (Redshift) is for analytical workloads but is heavier and more expensive for IoT sensor data.
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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.
Question Discussion
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