DBS-C01 Workload-Specific Database Design Practice Question
A company needs to store and query graph data (nodes and edges) for a social network. They require low-latency traversals. Which AWS database is best suited?
⚠ Common exam trap
Many exam-takers choose DynamoDB or Redis because they associate NoSQL with flexibility for graph data, but they overlook the critical requirement for native graph traversal capabilities and low-latency multi-hop queries, which only a dedicated graph database like Neptune can provide.
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 Neptune
Amazon Neptune is a fully managed graph database service optimized for storing and querying highly connected data, such as social network nodes and edges. It supports both property graph (Gremlin) and RDF (SPARQL) models, enabling low-latency traversals of complex relationships. This makes it the ideal choice for workloads requiring efficient graph queries over interconnected data.
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 this is correct
Purpose-built graph database for low-latency traversals.
- ✗
Amazon RDS for MySQL
Why it's wrong here
Relational database, not optimized for graph traversals.
- ✗
Amazon ElastiCache for Redis
Why it's wrong here
In-memory cache, not a graph database.
- ✗
Amazon DynamoDB
Why it's wrong here
Key-value store, not suitable for graph queries.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.