- A
Amazon Neptune
Why wrong: Graph database for connected data, not general-purpose NoSQL.
- B
Amazon RDS for MySQL
Why wrong: Relational database, not ideal for variable attributes and high scalability.
- C
Amazon DynamoDB
NoSQL, flexible schema, high performance at scale.
- D
Amazon Redshift
Why wrong: Data warehouse, not suitable for transactional mobile app.
Amazon DynamoDB for Mobile App User Profiles
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 startup is building a mobile app that requires a scalable NoSQL database. The data model includes user profiles with variable attributes that change over time. The database must support high read throughput and low latency. Which AWS database is best suited?
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
Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL key-value and document database that delivers single-digit millisecond latency at any scale. It supports flexible schema with variable attributes, making it ideal for user profiles that change over time, and its provisioned or on-demand capacity modes enable high read throughput with consistent low latency.
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 Neptune
Why it's wrong here
Graph database for connected data, not general-purpose NoSQL.
- ✗
Amazon RDS for MySQL
Why it's wrong here
Relational database, not ideal for variable attributes and high scalability.
- ✓
Amazon DynamoDB
Why this is correct
NoSQL, flexible schema, high performance at scale.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Redshift
Why it's wrong here
Data warehouse, not suitable for transactional mobile app.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Amazon Neptune's graph capabilities with NoSQL flexibility, or assume a relational database like MySQL can handle variable attributes via JSON columns, overlooking DynamoDB's native schema-less design and guaranteed single-digit millisecond performance at scale.
Detailed technical explanation
How to think about this question
DynamoDB achieves low latency through its distributed architecture, where data is automatically partitioned across multiple nodes using a primary key and hash-based distribution. It supports adaptive capacity to handle skewed access patterns, and its DAX (DynamoDB Accelerator) in-memory cache can further reduce read latency to microseconds for frequently accessed items. In a real-world scenario, a mobile app with millions of users can use DynamoDB's global tables for multi-region active-active replication, ensuring low-latency reads worldwide.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
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 DynamoDB — Amazon DynamoDB is a fully managed NoSQL key-value and document database that delivers single-digit millisecond latency at any scale. It supports flexible schema with variable attributes, making it ideal for user profiles that change over time, and its provisioned or on-demand capacity modes enable high read throughput with consistent low latency.
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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Last reviewed: Jun 24, 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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