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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. 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 needs to store and analyze log data from thousands of servers. The logs are timestamped and rarely updated. Queries are mostly time-range aggregations. Which database service is best suited 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

Amazon CloudWatch Logs

Amazon CloudWatch Logs is purpose-built for ingesting, storing, and analyzing timestamped log data from distributed sources. It supports real-time and historical time-range aggregations via Logs Insights, which uses a query language optimized for pattern matching and aggregation over time windows. The service automatically handles high-throughput ingestion from thousands of servers and is cost-effective for append-only, rarely updated log 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 CloudWatch Logs

    Why this is correct

    CloudWatch Logs is purpose-built for log ingestion, storage, and analysis.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon ElastiCache for Redis

    Why it's wrong here

    ElastiCache is for caching, not persistent log storage.

  • Amazon DynamoDB

    Why it's wrong here

    DynamoDB can store logs but aggregation queries are inefficient.

  • Amazon RDS for PostgreSQL

    Why it's wrong here

    RDS is relational and not optimized for time-series log data.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose DynamoDB or RDS because they are familiar with general-purpose databases, but they overlook that CloudWatch Logs is a fully managed, serverless service specifically designed for log ingestion and time-series analysis, eliminating the need for custom schema design, indexing, or scaling logic.

Detailed technical explanation

How to think about this question

CloudWatch Logs uses a distributed ingestion pipeline that automatically partitions log data by timestamp and log stream, enabling efficient time-range queries without manual sharding. The Logs Insights query engine leverages a columnar storage format and parallel execution to scan terabytes of log data in seconds for aggregation patterns like count, sum, and percentile over time windows. In real-world scenarios, this service can handle over 10,000 log streams per second and retains data for configurable periods (1 day to 10 years) with automatic expiration, making it ideal for operational analytics and compliance auditing.

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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

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 CloudWatch Logs — Amazon CloudWatch Logs is purpose-built for ingesting, storing, and analyzing timestamped log data from distributed sources. It supports real-time and historical time-range aggregations via Logs Insights, which uses a query language optimized for pattern matching and aggregation over time windows. The service automatically handles high-throughput ingestion from thousands of servers and is cost-effective for append-only, rarely updated log 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.