AWS Service for Millions of Database Queries
A company is building an application that will receive millions of database queries each second. The company needs the data store for the application to scale to meet these needs. Which AWS service will meet this requirement?
Community Votes
100% of anonymous learners picked answer A. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
The question tests knowledge of NoSQL database services capable of extreme scalability; the trap involves confusing caching layers or graph databases with persistent data stores designed for high throughput.
Amazon DynamoDB is the correct AWS service for applications requiring millions of database queries per second due to its serverless architecture and automatic scaling capabilities.
Candidates often select Amazon ElastiCache, mistaking a caching layer for a primary data store, or Amazon Neptune, which is specialized for graph workloads rather than general high-volume key-value queries.
Community Discussion (3 comments)
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Expert Analysis
Why the Answer Is Correct
Amazon DynamoDB is a fully managed, serverless NoSQL database service that provides single-digit millisecond performance at any scale. It is specifically designed to handle massive workloads, automatically scaling partitions and capacity to support millions of requests per second without administrative overhead. This makes it the ideal choice for the scenario described.Why the Other Options Are Wrong
AWS Cloud9 is a cloud-based integrated development environment (IDE) used for coding, not storing data. Amazon ElastiCache for Memcached is an in-memory caching service that does not persist data across reboots and is typically used alongside a database to reduce load, not as the primary scalable store. Amazon Neptune is a graph database optimized for connected data relationships, which is not the general-purpose solution implied by 'millions of database queries' unless the data structure is explicitly graph-based.Community Comment Notes
The community consensus strongly supports DynamoDB, with users highlighting its ability to handle high-performance workloads and automatic scaling. Comments emphasize that DynamoDB is a 'fast persistent key-value datastore' suitable for replication and autoscaling, confirming its suitability for high-throughput scenarios.Exam Strategy
When asked about scalability and high throughput for a data store, prioritize managed NoSQL services like DynamoDB over traditional relational or caching services unless specific constraints (like ACID compliance or graph relationships) dictate otherwise.
Frequently Asked Questions
Why not use ElastiCache for high query volumes?
ElastiCache is an in-memory cache, not a persistent data store. It lacks durability and is meant to supplement a database, not replace it for primary storage.
Is DynamoDB suitable for complex joins?
No, DynamoDB is a NoSQL database optimized for simple key-value lookups and single-table design patterns, not complex SQL-style joins.
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