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Workload-Specific Database Design →easyMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

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 wants to run a graph database for a social network application. The data model involves users, posts, comments, and likes, with many-to-many relationships. Which AWS database service is most appropriate?

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 purpose-built for highly connected data, supporting property graph and RDF models with SPARQL and Gremlin/TinkerPop query languages. For a social network with users, posts, comments, and likes forming many-to-many relationships, Neptune efficiently traverses these connections using graph traversal algorithms, avoiding the expensive JOINs or denormalization required by other database types.

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 RDS for PostgreSQL

    Why it's wrong here

    PostgreSQL can model graphs with extensions but is not optimized for graph queries.

  • ✓

    Amazon Neptune

    Why this is correct

    Neptune is purpose-built for graph databases and efficiently handles complex relationships.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    Amazon DocumentDB

    Why it's wrong here

    DocumentDB is a document database, not a graph database.

  • ✗

    Amazon DynamoDB

    Why it's wrong here

    DynamoDB is key-value, not optimized for graph traversals.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose Amazon DynamoDB for its scalability, overlooking that graph traversal queries require multiple round-trips or inefficient scan operations, whereas Neptune provides native graph traversal with single-query efficiency.

Detailed technical explanation

How to think about this question

Under the hood, Neptune uses a distributed, shared-storage architecture with SSD-backed volumes and automatic replication across three Availability Zones. It implements the W3C RDF standard for semantic graphs and Apache TinkerPop for property graphs, allowing queries like Gremlin's `g.V().hasLabel('user').out('likes').in('posted_by')` to traverse relationships in constant time per hop, whereas a relational database would require multiple JOINs with exponential cost. In a real-world scenario, a social network's 'friend-of-friend' recommendation engine would execute in milliseconds on Neptune versus seconds on a relational system.

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

A healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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 Neptune — Amazon Neptune is purpose-built for highly connected data, supporting property graph and RDF models with SPARQL and Gremlin/TinkerPop query languages. For a social network with users, posts, comments, and likes forming many-to-many relationships, Neptune efficiently traverses these connections using graph traversal algorithms, avoiding the expensive JOINs or denormalization required by other database types.

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: Jul 4, 2026

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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.