- A
Required query complexity (simple key lookups vs. range scans)
DynamoDB excels at key lookups; S3 is better for scans.
- B
Application latency requirements
DynamoDB offers low-latency; S3 has higher latency.
- C
Cost per GB of storage
Why wrong: Cost is important but not the primary factor for time-series.
- D
Data access patterns (random vs. sequential)
Time-series often involve sequential scans or point queries.
- E
Total data volume
Why wrong: Both services can handle large volumes.
Question 609 of 1,786
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
Which THREE factors should a data engineer consider when choosing between Amazon S3 and Amazon DynamoDB for storing time-series data? (Choose three.)
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
✓
Required query complexity (simple key lookups vs. range scans)
Amazon S3 supports range scans via its ListObjectsV2 API with prefix and delimiter parameters, but it is not optimized for complex queries like filtering on non-key attributes or aggregations. DynamoDB, on the other hand, excels at simple key lookups and range scans on its sort key, but lacks native support for complex query patterns such as multi-attribute filtering or joins. Therefore, the required query complexity directly influences the choice: S3 is better for simple prefix-based scans, while DynamoDB is better for key-value lookups and sort-key range queries.
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.
- ✓
Required query complexity (simple key lookups vs. range scans)
Why this is correct
DynamoDB excels at key lookups; S3 is better for scans.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Application latency requirements
Why this is correct
DynamoDB offers low-latency; S3 has higher latency.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cost per GB of storage
Why it's wrong here
Cost is important but not the primary factor for time-series.
- ✓
Data access patterns (random vs. sequential)
Why this is correct
Time-series often involve sequential scans or point queries.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Total data volume
Why it's wrong here
Both services can handle large volumes.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The DEA-C01 exam often tests the misconception that cost per GB is a primary factor for choosing between S3 and DynamoDB for time-series data, when in reality query complexity, latency, and access patterns are far more decisive due to the fundamentally different data models (key-value vs. object storage).
Detailed technical explanation
How to think about this question
For time-series data, DynamoDB's time-to-live (TTL) feature can automatically expire old records, which is a key advantage for data retention management. S3 supports lifecycle policies to transition data to colder storage tiers (e.g., S3 Glacier) for cost savings, but does not natively support TTL. Additionally, DynamoDB's adaptive capacity automatically adjusts partition throughput based on access patterns, which is critical for time-series workloads with uneven traffic, whereas S3 requires careful prefix design to avoid performance bottlenecks on high request rates.
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Required query complexity (simple key lookups vs. range scans) — Amazon S3 supports range scans via its ListObjectsV2 API with prefix and delimiter parameters, but it is not optimized for complex queries like filtering on non-key attributes or aggregations. DynamoDB, on the other hand, excels at simple key lookups and range scans on its sort key, but lacks native support for complex query patterns such as multi-attribute filtering or joins. Therefore, the required query complexity directly influences the choice: S3 is better for simple prefix-based scans, while DynamoDB is better for key-value lookups and sort-key range queries.
What should I do if I get this DEA-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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