Question 839 of 1,730
Workload-Specific Database DesigneasyMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

This DBS-C01 practice question tests your understanding of workload-specific database design. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. 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 building a document management system where each document can have multiple tags and users need to query documents by any combination of tags. The number of tags per document is up to 20, and the total number of documents is expected to be 50 million. Which database design is most appropriate for this flexible tag-based querying?

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 with a global secondary index on the tag attribute

Amazon DynamoDB with a global secondary index on the tag attribute is the most appropriate design because it supports flexible, low-latency queries on any combination of tags at scale. DynamoDB's single-table design with a GSI allows you to query documents by a specific tag efficiently, and by using composite sort keys or multiple GSIs, you can support queries on multiple tag combinations without the overhead of joins or schema normalization. This approach handles 50 million documents with up to 20 tags per document while maintaining predictable performance.

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 with a global secondary index on the tag attribute

    Why this is correct

    DynamoDB scales easily and supports flexible tag queries.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon RDS for MySQL with a normalized schema

    Why it's wrong here

    Joins on millions of documents can be slow.

  • Amazon Neptune

    Why it's wrong here

    Neptune is overkill for simple tag-based queries.

  • Amazon ElastiCache for Memcached

    Why it's wrong here

    Memcached is a cache, not a persistent data store.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose Amazon RDS for MySQL (Option B) because they assume a normalized relational schema is the 'correct' way to handle many-to-many relationships, but they fail to consider the performance and scalability challenges of multi-table joins at 50 million documents with flexible tag queries.

Detailed technical explanation

How to think about this question

DynamoDB's global secondary index (GSI) is a sparse index that only contains items with the indexed attribute, making it efficient for querying documents by a specific tag. To support queries on multiple tag combinations, you can use a composite sort key (e.g., TAG#tag_value) in the GSI and apply query filters, or create multiple GSIs for different tag dimensions. DynamoDB's partition key design ensures even distribution of read/write traffic, and the GSI is eventually consistent by default, which is acceptable for most document management use cases where immediate consistency is not critical.

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.

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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 with a global secondary index on the tag attribute — Amazon DynamoDB with a global secondary index on the tag attribute is the most appropriate design because it supports flexible, low-latency queries on any combination of tags at scale. DynamoDB's single-table design with a GSI allows you to query documents by a specific tag efficiently, and by using composite sort keys or multiple GSIs, you can support queries on multiple tag combinations without the overhead of joins or schema normalization. This approach handles 50 million documents with up to 20 tags per document while maintaining predictable performance.

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.