Question 654 of 988
Amazon DynamoDB: Global NoSQL Database with Single-Digit Millisecond Latency
A company is building a global e-commerce application that requires a database with single-digit millisecond latency, seamless scaling to handle millions of requests per second, and the ability to replicate data across multiple AWS Regions for disaster recovery and low-latency reads. The database must be fully managed with automatic backup and restores. Which AWS service should the company choose?
Quick Answer
Amazon DynamoDB is the correct choice because it is a fully managed NoSQL database designed for global, low-latency workloads, delivering single-digit millisecond latency at any scale while seamlessly handling millions of requests per second. Its DynamoDB Global Tables feature automatically replicates data across multiple AWS Regions, ensuring both disaster recovery and low-latency reads for a global e-commerce application, all backed by built-in automatic backup and restore. On the AWS Certified Cloud Practitioner CLF-C02 exam, this question tests your understanding of which service meets the specific combination of global replication, performance, and full management—a common trap is confusing DynamoDB with Amazon RDS or Aurora, which are relational and lack native multi-Region replication at this speed. Remember the memory tip: DynamoDB is the "global, fast, and serverless" database for key-value and document workloads, so when you see "global low latency NoSQL database" in a scenario, think DynamoDB Global Tables.
⚠ Common exam trap
Candidates often choose Amazon Aurora because of its familiarity with relational databases and its 'high performance' reputation, but they overlook the specific requirement for single-digit millisecond latency at millions of requests per second, which is a key-value/NoSQL workload that DynamoDB is purpose-built for, not a relational database.
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 DynamoDB
Amazon DynamoDB is the correct choice because it is a fully managed NoSQL key-value and document database that delivers single-digit millisecond latency at any scale, supports automatic multi-Region replication via DynamoDB Global Tables for disaster recovery and low-latency reads, and provides built-in backup and restore capabilities. This combination of performance, seamless scaling to millions of requests per second, and global replication aligns perfectly with the requirements of a global e-commerce application.
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 Aurora
Why it's wrong here
Amazon Aurora is a relational database compatible with MySQL and PostgreSQL. While it offers high performance and multi-Region replication, it does not guarantee single-digit millisecond latency at the massive scale of millions of requests per second, nor does it provide the same seamless scaling as DynamoDB for high-velocity workloads.
When this WOULD be correct
A company needs a relational database with ACID transactions, complex joins, and high availability within a single Region, requiring automatic failover and read replicas for read scaling, but not global multi-Region replication.
- ✓
Amazon DynamoDB
Why this is correct
Amazon DynamoDB is a fully managed NoSQL database that delivers consistent single-digit millisecond latency at any scale. It supports global tables for multi-Region replication and automatic scaling to handle millions of requests per second. It also provides built-in backup and restore, meeting all stated requirements.
- ✗
Amazon RDS for MySQL
Why it's wrong here
Amazon RDS for MySQL is a relational database service that scales vertically and horizontally with read replicas, but it is not designed for single-digit millisecond latency at extreme throughput levels. It also requires manual sharding for very high write volumes and does not offer native multi-Region replication for disaster recovery.
When this WOULD be correct
A company needs a fully managed relational database with automatic backups, point-in-time restore, and read replicas for read scaling within a single Region. The application requires complex SQL joins and transactions, but does not need multi-Region replication or sub-millisecond latency at massive scale.
- ✗
Amazon Redshift
Why it's wrong here
Amazon Redshift is a petabyte-scale data warehouse service optimized for analytical queries and large-scale reporting. It is not suitable for low-latency transactional workloads and does not provide single-digit millisecond responsiveness for high-velocity read/write operations.
When this WOULD be correct
A company needs a fully managed data warehouse for running complex analytical queries on petabytes of structured and semi-structured data, with automatic backups and the ability to scale compute and storage independently. The workload involves business intelligence and reporting, not real-time transactional processing.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The CLF-C02 exam frequently reuses these exact scenarios with slightly different constraints.
✓Amazon DynamoDBCorrect answer▾
Why this is correct
Amazon DynamoDB is a fully managed NoSQL database that delivers consistent single-digit millisecond latency at any scale. It supports global tables for multi-Region replication and automatic scaling to handle millions of requests per second. It also provides built-in backup and restore, meeting all stated requirements.
✗Amazon AuroraWrong answer — click to see why▾
Why this is wrong here
Amazon Aurora, while fast, typically has latency in the low milliseconds but not consistently single-digit for millions of requests per second globally. It also lacks native multi-Region replication for disaster recovery with the same ease as DynamoDB's global tables.
★ When this WOULD be the correct answer
A company needs a relational database with ACID transactions, complex joins, and high availability within a single Region, requiring automatic failover and read replicas for read scaling, but not global multi-Region replication.
Why candidates choose this
Candidates may confuse Aurora's high performance and MySQL compatibility with the need for single-digit millisecond latency and global scaling, overlooking DynamoDB's key-value design optimized for such workloads.
✗Amazon RDS for MySQLWrong answer — click to see why▾
Why this is wrong here
Amazon RDS for MySQL does not natively support single-digit millisecond latency at millions of requests per second, nor does it provide seamless multi-Region replication for disaster recovery and low-latency reads. It is a relational database with limited horizontal scaling and higher latency under extreme load.
★ When this WOULD be the correct answer
A company needs a fully managed relational database with automatic backups, point-in-time restore, and read replicas for read scaling within a single Region. The application requires complex SQL joins and transactions, but does not need multi-Region replication or sub-millisecond latency at massive scale.
Why candidates choose this
Candidates may associate MySQL with web applications and assume RDS provides similar scalability and global replication as DynamoDB, overlooking the fundamental differences in data model and scaling capabilities.
✗Amazon RedshiftWrong answer — click to see why▾
Why this is wrong here
Amazon Redshift is a data warehouse optimized for analytical queries on large datasets, not for transactional workloads requiring single-digit millisecond latency and millions of requests per second. It does not support seamless scaling for high-frequency reads/writes or global replication for low-latency reads across multiple Regions.
★ When this WOULD be the correct answer
A company needs a fully managed data warehouse for running complex analytical queries on petabytes of structured and semi-structured data, with automatic backups and the ability to scale compute and storage independently. The workload involves business intelligence and reporting, not real-time transactional processing.
Why candidates choose this
Candidates may confuse Redshift's managed service and automatic backup features with transactional database requirements, or assume its columnar storage and parallel processing can handle high-throughput OLTP workloads.
Analysis generated from the official CLF-C02blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
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Same concept, more angles
1 more way this is tested on CLF-C02
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is building a web application that requires a fully managed NoSQL database with single-digit millisecond latency at any scale. The application will experience unpredictable traffic spikes, and the database must automatically scale throughput capacity up and down without manual intervention. The developers want to focus on application code rather than database management tasks. Which AWS database service should the company choose?
medium- A.Amazon RDS for MySQL
- ✓ B.Amazon DynamoDB
- C.Amazon Redshift
- D.Amazon ElastiCache
Why B: Amazon DynamoDB is a fully managed NoSQL key-value and document database that delivers single-digit millisecond latency at any scale. It supports automatic scaling of read/write throughput capacity via Auto Scaling policies, eliminating the need for manual intervention. This makes it ideal for web applications with unpredictable traffic spikes, as it offloads all database management tasks to AWS.
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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