Question 235 of 1,730
Workload-Specific Database DesignhardMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

This DBS-C01 practice question tests your understanding of workload-specific database design. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 runs a MySQL-compatible database on Amazon RDS with a 3 TB dataset. They need to run complex analytical queries that involve joins and aggregations on millions of rows. The current RDS instance is a db.r5.8xlarge with 32 vCPUs and 256 GB RAM, but complex queries take over an hour. Which design change would most improve query performance for this workload?

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

Use Amazon Redshift for the analytical workload

Option D is correct because Amazon Redshift is a fully managed, petabyte-scale data warehouse service optimized for complex analytical queries involving joins and aggregations on large datasets. Unlike RDS, which is designed for OLTP workloads, Redshift uses columnar storage, massively parallel processing (MPP), and automatic compression to dramatically reduce query times for analytical workloads. Migrating the analytical workload to Redshift offloads the heavy processing from the RDS instance, allowing it to continue serving transactional queries efficiently.

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.

  • Migrate to Amazon Aurora with parallel query

    Why it's wrong here

    Aurora is optimized for OLTP, not heavy analytical queries.

  • Add an Amazon ElastiCache cluster to cache query results

    Why it's wrong here

    Caching does not help for ad-hoc complex queries.

  • Enable DynamoDB Accelerator (DAX) on the RDS instance

    Why it's wrong here

    DAX is only for DynamoDB, not RDS.

  • Use Amazon Redshift for the analytical workload

    Why this is correct

    Redshift is a columnar data warehouse ideal for complex analytics.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may assume Amazon Aurora with parallel query is sufficient for analytical workloads, but the DBS-C01 exam tests the understanding that Aurora is still an OLTP engine and that Redshift is the correct service for complex, long-running analytical queries on large datasets.

Detailed technical explanation

How to think about this question

Amazon Redshift’s MPP architecture distributes data across multiple compute nodes, allowing parallel execution of queries across slices, which is critical for scanning and aggregating billions of rows. Its columnar storage format reads only the columns needed for a query, reducing I/O compared to row-based storage in RDS. Additionally, Redshift uses sort keys and distribution keys to optimize join performance, and its result caching can further speed up repeated queries.

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

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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: Use Amazon Redshift for the analytical workload — Option D is correct because Amazon Redshift is a fully managed, petabyte-scale data warehouse service optimized for complex analytical queries involving joins and aggregations on large datasets. Unlike RDS, which is designed for OLTP workloads, Redshift uses columnar storage, massively parallel processing (MPP), and automatic compression to dramatically reduce query times for analytical workloads. Migrating the analytical workload to Redshift offloads the heavy processing from the RDS instance, allowing it to continue serving transactional queries efficiently.

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.