CLF-C02 Cloud Technology and Services Practice Question
Which AWS service provides a managed graph database for storing and querying highly connected data?
⚠ Common exam trap
Many exam-takers 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.
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. 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.
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 DocumentDB
Why it's wrong here
Amazon DocumentDB is a document-oriented database compatible with MongoDB, designed to store and query JSON/BSON-like documents with flexible schemas. While documents can embed nested data, this does not create explicit, indexable relationships between separate entities that require multi-hop traversals. DocumentDB lacks graph-specific storage and query facilities like edge tables or graph traversals, making it unsuitable for 'highly connected data'.
- ✗
Amazon Keyspaces
Why it's wrong here
Amazon Keyspaces is a managed Apache Cassandra-compatible database that uses a wide-column model, which is essentially a sparse key-value store with columns grouped into rows for high-throughput, low-latency workloads. It excels at writing massive volumes of time-series or sensor data across partitions, but the data model is inherently tabular and does not support the graph primitives (nodes, edges, and traversal operations) that Neptune provides.
- ✓
Amazon Neptune
Why this is correct
Amazon Neptune is a fully managed graph database that stores data as nodes, edges, and properties, enabling highly connected data to be traversed efficiently. It supports multiple graph query languages, including Gremlin (for property graphs) and SPARQL (for RDF data), as well as openCypher, and is optimized for complex relationships such as social networks, fraud detection, and knowledge graphs. Unlike ledger, document, or wide-column stores, Neptune gives you native graph traversal APIs that preserve index-free adjacency for fast relationship queries.
- ✗
Amazon QLDB
Why it's wrong here
Amazon QLDB is a purpose-built ledger database that maintains an immutable, append-only journal with cryptographic verification via hash chains and Merkle trees. It does not store vertices and edges, nor does it provide traversal query languages such as Gremlin or SPARQL, so it cannot efficiently model or query highly connected relationships. QLDB targets financial systems, auditing, and supply chain record-keeping, not graph workloads.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.