This DBS-C01 practice question tests your understanding of workload-specific database design. 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.
A company is designing a database for an IoT application that ingests millions of sensor readings per second. The data is time-series and is queried to generate reports on average temperature over the last hour. Which TWO database solutions are most suitable for this workload?
Amazon DynamoDB with time-series data model and TTL
Can handle time-series with proper design.
Amazon Neptune
Why wrong: Graph database, not for time-series.
Amazon RDS for PostgreSQL
Why wrong: Not optimized for high-ingestion time-series.
Amazon Timestream
Purpose-built for time-series.
Amazon ElastiCache for Redis
Why wrong: Cache, not persistent store.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon DynamoDB with time-series data model and TTL
Option B (Timestream) is a purpose-built time-series database for IoT data. Option D (DynamoDB with TTL and optimized access pattern) can also handle time-series data if designed properly with partition key and sort key. Option A is wrong because Neptune is for graph data. Option C is wrong because ElastiCache is a cache, not a primary store for long-term data. Option E is wrong because RDS is not optimized for high-ingestion time-series.
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
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon DynamoDB with time-series data model and TTL
Why this is correct
Can handle time-series with proper design.
Related concept
Static NAT maps one inside address to one outside address.
Amazon Neptune
Why it's wrong here
Graph database, not for time-series.
Amazon RDS for PostgreSQL
Why it's wrong here
Not optimized for high-ingestion time-series.
Amazon Timestream
Why this is correct
Purpose-built for time-series.
Related concept
Static NAT maps one inside address to one outside address.
Amazon ElastiCache for Redis
Why it's wrong here
Cache, not persistent store.
Common exam traps
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
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.
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
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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 DBS-C01 NAT questions on configuration and troubleshooting.
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FAQ
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Static NAT maps one inside address to one outside address..
The correct answer is: Amazon DynamoDB with time-series data model and TTL — Option B (Timestream) is a purpose-built time-series database for IoT data. Option D (DynamoDB with TTL and optimized access pattern) can also handle time-series data if designed properly with partition key and sort key. Option A is wrong because Neptune is for graph data. Option C is wrong because ElastiCache is a cache, not a primary store for long-term data. Option E is wrong because RDS is not optimized for high-ingestion time-series.
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 DBS-C01 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 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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