Question 1,367 of 1,730
Workload-Specific Database DesignmediumMultiple SelectObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

This DBS-C01 practice question tests your understanding of workload-specific database design. 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 company is designing a database for a global e-commerce platform. The application requires single-digit millisecond read and write latency for user sessions, and must handle millions of requests per second. The data is key-value in nature. Which TWO AWS services should the company consider? (Choose two.)

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 single-digit millisecond latency at any scale. It is designed for high-traffic applications requiring millions of requests per second, making it ideal for the global e-commerce platform's user session data.

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 DynamoDB

    Why this is correct

    Key-value NoSQL database with single-digit millisecond latency.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon ElastiCache for Redis

    Why this is correct

    In-memory key-value store with sub-millisecond latency.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon Neptune

    Why it's wrong here

    Graph database, not for simple key-value.

  • Amazon Redshift

    Why it's wrong here

    Data warehouse, not for transactional key-value.

  • Amazon RDS for MySQL

    Why it's wrong here

    Relational database, not suited for ultra-low latency at scale.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may choose Amazon RDS for MySQL or Amazon Neptune because they are familiar with SQL or graph databases, but they fail to recognize that key-value workloads with extreme throughput and latency requirements are a core use case for DynamoDB and ElastiCache, not relational or graph databases.

Detailed technical explanation

How to think about this question

DynamoDB achieves its latency through a distributed hash table architecture with SSD-backed storage and automatic replication across three Availability Zones. For even lower latency (sub-millisecond) for session data, ElastiCache for Redis provides an in-memory data store with operations like GET/SET completing in microseconds, and it supports data structures (e.g., hashes, sorted sets) ideal for session management. In a real-world scenario, a common pattern is to use DynamoDB as the durable primary store and ElastiCache as a caching layer to absorb peak read traffic.

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 DBS-C01 question test?

Workload-Specific Database Design — This question tests Workload-Specific Database Design — 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 single-digit millisecond latency at any scale. It is designed for high-traffic applications requiring millions of requests per second, making it ideal for the global e-commerce platform's user session data.

What should I do if I get this DBS-C01 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.

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Last reviewed: Jul 4, 2026

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This DBS-C01 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 DBS-C01 exam.