Quick Answer
The answer is Amazon Neptune, the AWS service that provides a managed graph database for storing and querying highly connected data. This is correct because Neptune is purpose-built to handle complex relationships between data points, using graph models like property graphs (via Gremlin) and RDF (via SPARQL) to efficiently traverse connections that traditional relational databases struggle with. On the AWS Certified Cloud Practitioner CLF-C02 exam, this question tests your ability to match a service to its specific use case—here, the keyword “highly connected data” is the direct clue. A common trap is confusing Neptune with Amazon DynamoDB, which is a key-value and document database, not a graph database; remember that Neptune is for relationships, not simple lookups. For a quick memory tip, think “Neptune for networks”—just as the planet Neptune is connected to the solar system, this service connects your data points.
This CLF-C02 practice question tests your understanding of cloud technology and services. 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.
Which AWS service provides a managed graph database for storing and querying highly connected data?
Amazon DocumentDB
Why wrong: DocumentDB is a MongoDB-compatible document database, not a graph database.
Amazon Keyspaces
Why wrong: Keyspaces is a Cassandra-compatible wide-column database, not a graph database.
Amazon Neptune
Neptune is AWS's managed graph database for highly connected data.
Amazon QLDB
Why wrong: QLDB is an immutable ledger database, not a graph database.
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 models (using Apache TinkerPop Gremlin) and RDF models (using SPARQL), making it ideal for use cases like social networks, fraud detection, and knowledge graphs.
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 DocumentDB
Why it's wrong here
DocumentDB is a MongoDB-compatible document database, not a graph database.
Amazon Keyspaces
Why it's wrong here
Keyspaces is a Cassandra-compatible wide-column database, not a graph database.
Amazon Neptune
Why this is correct
Neptune is AWS's managed graph database for highly connected data.
Related concept
Read the scenario before looking for a memorised answer.
Amazon QLDB
Why it's wrong here
QLDB is an immutable ledger database, not a graph database.
Common exam traps
The trap here is that candidates confuse 'graph database' with 'document database' (DocumentDB) or 'ledger database' (QLDB), because all three involve structured data but only Neptune is designed for relationship-heavy queries.
Detailed technical explanation
Under the hood, Neptune uses a shared-storage architecture with up to 15 read replicas and automatic failover, storing graph data in a distributed manner optimized for traversal queries. For example, in a fraud detection scenario, Neptune can traverse multi-hop relationships (e.g., account → device → IP address) in milliseconds using Gremlin's repeat() step, which would require complex recursive joins in a relational database.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Cloud Technology and Services — This question tests Cloud Technology and Services — 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 models (using Apache TinkerPop Gremlin) and RDF models (using SPARQL), making it ideal for use cases like social networks, fraud detection, and knowledge graphs.
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 11, 2026
This CLF-C02 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 CLF-C02 exam.
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