The correct answer is data access patterns, query complexity, and latency requirements. When choosing between Amazon S3 and DynamoDB for time-series data, these three factors directly determine which service aligns with your workload: S3 excels at sequential scans of large, immutable datasets, while DynamoDB is built for low-latency random access and complex queries using partition and sort keys. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your ability to match storage services to access patterns rather than just raw capacity—a common trap is selecting cost or data volume, which are secondary because both services scale and have flexible pricing. Remember the memory tip: “S3 for streaming, DynamoDB for pinging”—if you need to query specific points in time quickly, choose DynamoDB; if you are analyzing long historical trends, choose S3.
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 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)
Options B, C, and D are correct because data access patterns, query complexity, and latency requirements are key factors. Option A (cost) is a consideration but not specific to time-series. Option E (data volume) is less relevant as both scale.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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
Static NAT maps one inside address to one outside address.
✓
Application latency requirements
Why this is correct
DynamoDB offers low-latency; S3 has higher latency.
Related concept
Static NAT maps one inside address to one outside address.
✗
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
Static NAT maps one inside address to one outside address.
✗
Total data volume
Why it's wrong here
Both services can handle large volumes.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.
Data Store Management — This question tests Data Store Management — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Required query complexity (simple key lookups vs. range scans) — Options B, C, and D are correct because data access patterns, query complexity, and latency requirements are key factors. Option A (cost) is a consideration but not specific to time-series. Option E (data volume) is less relevant as both scale.
What should I do if I get this DEA-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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