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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 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?

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.

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 this is correct

    Purpose-built graph database for low-latency traversals.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    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.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often 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.

Detailed technical explanation

How to think about this question

Under the hood, Neptune uses a purpose-built storage engine that stores graph data in a columnar format optimized for adjacency lookups, enabling constant-time edge traversals. It supports the Apache TinkerPop Gremlin traversal language for property graphs and SPARQL for RDF graphs, both of which are compiled into efficient query plans that minimize I/O. In a real-world social network scenario, Neptune can traverse millions of edges per second, making it suitable for real-time friend-of-friend recommendations or influence path analysis.

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 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.

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.