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Design of SAP Workloads on AWSeasyMultiple ChoiceObjective-mapped

PAS-C01 Design of SAP Workloads on AWS Practice Question

This PAS-C01 practice question tests your understanding of design of sap workloads on aws. 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 deploying SAP NetWeaver on AWS and needs to ensure that the SAP application servers can automatically scale based on CPU utilization. Which AWS service should they use?

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 groups with CloudWatch alarms

AWS Auto Scaling groups with CloudWatch alarms allow SAP application servers to automatically scale in or out based on CPU utilization thresholds. This is the correct approach because Auto Scaling groups can dynamically adjust the number of EC2 instances in response to CloudWatch metric alarms, which is essential for handling variable SAP workload demands without manual intervention.

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 Auto Scaling groups with CloudWatch alarms

    Why this is correct

    Auto Scaling groups can dynamically adjust capacity based on CPU utilization metrics from CloudWatch.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon CloudWatch to monitor CPU and send alerts

    Why it's wrong here

    CloudWatch monitors and alerts but does not automatically scale instances.

  • AWS Lambda to start and stop instances based on a schedule

    Why it's wrong here

    Lambda can schedule start/stop but is not designed for dynamic scaling based on CPU.

  • Elastic Load Balancing (ELB) with health checks

    Why it's wrong here

    ELB distributes incoming traffic but does not automatically scale instances.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse CloudWatch's monitoring and alerting capability with the actual scaling action, forgetting that CloudWatch alone cannot modify the instance count without an Auto Scaling group.

Detailed technical explanation

How to think about this question

Under the hood, AWS Auto Scaling groups use a target tracking scaling policy that continuously adjusts the desired capacity based on a CloudWatch metric (e.g., Average CPU Utilization) to maintain a target value. For SAP NetWeaver, this is critical because the application server layer often experiences unpredictable spikes in user load, and the scaling policy must respect cooldown periods to avoid thrashing. In real-world deployments, you must also configure lifecycle hooks to gracefully drain SAP sessions before instance termination.

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 PAS-C01 question test?

Design of SAP Workloads on AWS — This question tests Design of SAP Workloads on AWS — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: AWS Auto Scaling groups with CloudWatch alarms — AWS Auto Scaling groups with CloudWatch alarms allow SAP application servers to automatically scale in or out based on CPU utilization thresholds. This is the correct approach because Auto Scaling groups can dynamically adjust the number of EC2 instances in response to CloudWatch metric alarms, which is essential for handling variable SAP workload demands without manual intervention.

What should I do if I get this PAS-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 PAS-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 PAS-C01 exam.