Question 364 of 1,730
Management and OperationseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is AWS Auto Scaling with a target tracking scaling policy. This is the correct choice because it enables automated vertical scaling for an RDS instance by directly modifying the DB instance class based on a defined metric, such as high CPU utilization, without requiring manual intervention or complex scripting. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of the distinction between horizontal scaling (adding read replicas) and vertical scaling (changing instance size), as well as the specific integration between RDS and AWS Auto Scaling. A common trap is confusing AWS Auto Scaling with Amazon RDS’s Storage Autoscaling, which only handles storage capacity, not compute resources. Remember that for CPU-driven vertical scaling, you must use a target tracking policy on the DB instance class metric. Memory tip: “Target tracks CPU, class climbs up.”

DBS-C01 Management and Operations Practice Question

This DBS-C01 practice question tests your understanding of management and operations. 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's RDS for MySQL instance is experiencing high CPU utilization. Which AWS service should be used to set up automated actions to scale the instance vertically?

Question 1easymultiple choice
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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

AWS Auto Scaling with a target tracking scaling policy

AWS Auto Scaling with a target tracking scaling policy is the correct choice because it can automatically adjust the DB instance class (vertical scaling) for RDS instances based on a defined metric like CPU utilization. This service integrates directly with RDS to modify the instance size without manual intervention, making it ideal for handling high CPU utilization through automated vertical scaling.

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.

  • AWS Systems Manager Automation with a custom runbook

    Why it's wrong here

    Systems Manager Automation requires manual setup and is not native RDS scaling.

  • AWS Auto Scaling with a target tracking scaling policy

    Why this is correct

    AWS Auto Scaling can adjust RDS instance class based on CloudWatch metrics.

    Related concept

    Read the scenario before looking for a memorised answer.

  • AWS Lambda function to modify the DB instance class

    Why it's wrong here

    Lambda can modify, but it is not a managed scaling solution.

  • Amazon CloudWatch Alarms to send an SNS notification to the DBA

    Why it's wrong here

    Alarms only notify, they do not perform scaling actions.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse AWS Auto Scaling (which handles both horizontal and vertical scaling for RDS) with EC2 Auto Scaling, or they mistakenly think that a Lambda function or Systems Manager Automation is the only way to automate RDS modifications, overlooking the native scaling capabilities of AWS Auto Scaling.

Detailed technical explanation

How to think about this question

AWS Auto Scaling for RDS uses a target tracking policy that dynamically adjusts the DB instance class based on a predefined metric (e.g., CPU utilization) and a target value (e.g., 70%). Under the hood, it leverages CloudWatch metrics and the RDS ModifyDBInstance API to scale up or down, but note that vertical scaling typically incurs downtime during the modification, which is a key consideration for production workloads. In real-world scenarios, this is often combined with Multi-AZ deployments to minimize downtime during scaling events.

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?

Management and Operations — This question tests Management and Operations — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: AWS Auto Scaling with a target tracking scaling policy — AWS Auto Scaling with a target tracking scaling policy is the correct choice because it can automatically adjust the DB instance class (vertical scaling) for RDS instances based on a defined metric like CPU utilization. This service integrates directly with RDS to modify the instance size without manual intervention, making it ideal for handling high CPU utilization through automated vertical scaling.

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: Jun 24, 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.