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 company is designing a database for a social media application that requires low-latency access to user profiles and support for complex graph queries. Which AWS database service is most suitable for this workload?
Amazon DynamoDB
Why wrong: DynamoDB is a key-value/document database, not graph-optimized.
Amazon ElastiCache for Redis
Why wrong: ElastiCache is a cache, not a graph database.
Amazon Neptune
Neptune is a graph database with support for graph queries.
Amazon RDS for MySQL
Why wrong: RDS is relational, not native for graph queries.
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 Neptune
Amazon Neptune is a fully managed graph database service optimized for storing and querying highly connected data. It supports both property graph (Apache TinkerPop/Gremlin) and RDF (SPARQL) models, making it the ideal choice for social media applications that require low-latency traversal of complex relationships, such as friend-of-friend recommendations or influence paths.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon DynamoDB
Why it's wrong here
DynamoDB is a key-value/document database, not graph-optimized.
Amazon ElastiCache for Redis
Why it's wrong here
ElastiCache is a cache, not a graph database.
Amazon Neptune
Why this is correct
Neptune is a graph database with support for graph queries.
Related concept
Read the scenario before looking for a memorised answer.
Amazon RDS for MySQL
Why it's wrong here
RDS is relational, not native for graph queries.
Common exam traps
The trap here is that candidates often mistake DynamoDB's low-latency key-value lookups as sufficient for graph queries, overlooking that DynamoDB cannot perform multi-step traversals without multiple round trips and client-side joins, which destroys performance for complex relationship queries.
Detailed technical explanation
Neptune uses a purpose-built, distributed storage engine that replicates data across three Availability Zones for durability, and it automatically scales storage up to 128 TiB. Under the hood, graph traversals are executed via index-free adjacency, meaning each node stores direct pointers to its neighbors, enabling constant-time hops regardless of graph size—a key advantage over relational databases that rely on expensive join operations. In a real-world social media app, Neptune can answer queries like 'find all friends-of-friends within 3 degrees who like photography' in milliseconds, even with billions of relationships.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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
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FAQ
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Neptune — Amazon Neptune is a fully managed graph database service optimized for storing and querying highly connected data. It supports both property graph (Apache TinkerPop/Gremlin) and RDF (SPARQL) models, making it the ideal choice for social media applications that require low-latency traversal of complex relationships, such as friend-of-friend recommendations or influence paths.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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