- A
Amazon RDS for MySQL
Why wrong: Amazon RDS is a managed relational database that scales vertically (by instance size). It does not automatically handle millions of requests per second without capacity planning and does not guarantee single-digit millisecond latency at that scale.
- B
Amazon Aurora
Why wrong: Amazon Aurora is a managed relational database compatible with MySQL and PostgreSQL. While highly performant, it is not a NoSQL database and requires capacity planning at the Aurora Serverless level.
- C
Amazon DynamoDB
DynamoDB is a serverless NoSQL database that automatically scales to handle millions of requests per second with single-digit millisecond response times. No server or capacity management is needed.
- D
Amazon Redshift
Why wrong: Amazon Redshift is an analytics data warehouse optimised for complex SQL queries over large datasets. It is not designed for high-throughput, low-latency transactional workloads.
CLF-C02 Cloud Technology and Services Practice Question
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.
A gaming company needs a database that can handle millions of requests per second with consistent single-digit millisecond latency and automatically scales without any capacity planning. Which AWS database service meets these requirements?
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 a fully managed NoSQL key-value and document database that delivers consistent single-digit millisecond latency at any scale. It automatically scales throughput capacity via on-demand mode, eliminating the need for capacity planning, and can handle millions of requests per second, making it ideal for high-traffic gaming workloads.
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 RDS for MySQL
Why it's wrong here
Amazon RDS is a managed relational database that scales vertically (by instance size). It does not automatically handle millions of requests per second without capacity planning and does not guarantee single-digit millisecond latency at that scale.
- ✗
Amazon Aurora
Why it's wrong here
Amazon Aurora is a managed relational database compatible with MySQL and PostgreSQL. While highly performant, it is not a NoSQL database and requires capacity planning at the Aurora Serverless level.
- ✓
Amazon DynamoDB
Why this is correct
DynamoDB is a serverless NoSQL database that automatically scales to handle millions of requests per second with single-digit millisecond response times. No server or capacity management is needed.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Redshift
Why it's wrong here
Amazon Redshift is an analytics data warehouse optimised for complex SQL queries over large datasets. It is not designed for high-throughput, low-latency transactional workloads.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon Aurora's auto-scaling storage with automatic throughput scaling, overlooking that Aurora still requires manual compute provisioning and does not match DynamoDB's ability to handle millions of requests per second without capacity planning.
Detailed technical explanation
How to think about this question
DynamoDB achieves consistent low latency through its distributed architecture, where data is automatically partitioned across multiple storage nodes using consistent hashing, and each partition is replicated across three Availability Zones for durability. Its on-demand capacity mode uses a traffic-based scaling algorithm that instantly accommodates spikes without throttling, while adaptive capacity automatically rebalances partitions to handle hot keys. In a real-world gaming scenario, DynamoDB can power leaderboards, player session data, and inventory systems where latency spikes above 10 ms would degrade user experience.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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 CLF-C02 question test?
Cloud Technology and Services — This question tests Cloud Technology and Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon DynamoDB — Amazon DynamoDB is a fully managed NoSQL key-value and document database that delivers consistent single-digit millisecond latency at any scale. It automatically scales throughput capacity via on-demand mode, eliminating the need for capacity planning, and can handle millions of requests per second, making it ideal for high-traffic gaming workloads.
What should I do if I get this CLF-C02 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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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