Quick Answer
The answer is Amazon Neptune, the correct choice for a social network graph database workload because it is purpose-built for highly interconnected data like user profiles, posts, comments, and likes. Neptune uses a graph model with nodes and edges, enabling efficient traversal queries such as “find all friends of a user who liked a post” without costly joins or recursive application logic. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your ability to match workload patterns to specialized database services—a common trap is choosing DynamoDB for its scalability, but it lacks native graph traversal capabilities, while RDS requires complex SQL joins that degrade with depth. Remember the memory tip: “Neptune navigates networks naturally,” linking the service name to its strength in social graph queries.
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 startup is building a social media application that needs to store user profiles, posts, comments, and likes. The data is highly interconnected, and the team wants to query relationships efficiently, such as 'find all friends of a user who liked a post'. Which database service is best suited for this workload?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Amazon ElastiCache for Redis
Why wrong: Redis is not a primary database for persistent storage.
Amazon DynamoDB
Why wrong: DynamoDB is not optimized for graph queries.
Amazon RDS for PostgreSQL
Why wrong: Relational databases can model graphs but are slower for multi-hop queries.
Amazon Neptune
Neptune is a graph database built for relationship 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 graph database designed for highly connected data, making it ideal for social graphs. Option A (DynamoDB) is wrong because it is a key-value/document database that requires additional application logic for graph queries. Option B (RDS) is wrong because relational databases can model graphs but are less efficient for deep relationship queries. Option D (ElastiCache) is wrong because it is a cache, not a primary database.
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 ElastiCache for Redis
Why it's wrong here
Redis is not a primary database for persistent storage.
Amazon DynamoDB
Why it's wrong here
DynamoDB is not optimized for graph queries.
Amazon RDS for PostgreSQL
Why it's wrong here
Relational databases can model graphs but are slower for multi-hop queries.
Amazon Neptune
Why this is correct
Neptune is a graph database built for relationship queries.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which DBS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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 graph database designed for highly connected data, making it ideal for social graphs. Option A (DynamoDB) is wrong because it is a key-value/document database that requires additional application logic for graph queries. Option B (RDS) is wrong because relational databases can model graphs but are less efficient for deep relationship queries. Option D (ElastiCache) is wrong because it is a cache, not a primary database.
Identify which DBS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is building a social network application that needs to store user profiles, friend relationships, and a feed of posts. The feed queries are complex, involving graph traversals (e.g., friends of friends). Which database is best suited for the relationship data?
easyWhy D: Amazon Neptune is a fully managed graph database service optimized for storing and querying highly connected data. It supports both property graph and RDF models, and it uses graph traversal languages like Gremlin and SPARQL, making it ideal for complex friend-of-friend queries and social network relationship data.
Variation 2. A startup is building a social media application that requires a database to store user relationships (followers, following) and support graph queries. The data volume is expected to grow to tens of terabytes. Which AWS database service is most suitable for this workload?
easyWhy D: Amazon Neptune is a fully managed graph database service optimized for storing and querying highly connected data, such as social media user relationships (followers, following). It supports both property graph and RDF models, enabling efficient graph traversal queries using Gremlin or SPARQL, which is ideal for this workload. Neptune scales to tens of terabytes and provides low-latency query performance for complex graph patterns, making it the most suitable choice.
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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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