The answer is to move the custom batch job to a separate EC2 instance dedicated to running batch processes. This action isolates batch jobs from the SAP application server, directly resolving CPU contention by ensuring that the CPU-intensive workload does not compete with interactive user sessions for resources on the same instance. On the AWS Certified SAP on AWS Specialty PAS-C01 exam, this scenario tests your understanding of resource isolation patterns for SAP workloads, where the key principle is to separate background processing from dialog instances to maintain performance predictability. A common trap is to assume rescheduling or scaling up the existing instance solves the problem, but these options either fail to address the root cause of contention or introduce unnecessary cost. Remember the memory tip: “Batch jobs belong on their own box” — when a single EC2 instance hosts both SAP dialog and batch processes, isolate the batch to a dedicated instance to prevent CPU spikes from impacting user experience.
PAS-C01 Technology Practice Question
This PAS-C01 practice question tests your understanding of technology. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
You are an SAP Basis consultant for a company running SAP ECC on Oracle on AWS. The system is hosted on a single EC2 instance (r5.8xlarge) with a separate EC2 instance for the database (Oracle on RDS). Recently, users have reported that the system becomes unresponsive for a few minutes every day at 10:00 AM. You check CloudWatch metrics and see a spike in CPU utilization on the application server at that time, but the database metrics are normal. The application server is running SAP instance and also a custom batch job that runs daily at 10:00 AM. The batch job is using a significant amount of CPU. You need to resolve the issue without losing the functionality of the batch job. Which action should you take?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Move the custom batch job to a separate EC2 instance dedicated to running batch processes.
Option A is correct because moving the batch job to a separate EC2 instance isolates the CPU-intensive process from the main SAP application, preventing it from affecting user sessions. Option B (increase instance size) is expensive and may not be necessary if the batch job can be separated. Option C (reschedule the job) might avoid peak hours but does not address the root cause of resource contention. Option D (RDS read replica) does not help with application server CPU issues.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Reschedule the batch job to run at a different time, such as 2:00 AM.
Why it's wrong here
Rescheduling avoids peak usage but does not prevent future conflicts if other batch jobs run.
✓
Move the custom batch job to a separate EC2 instance dedicated to running batch processes.
Why this is correct
Isolating the batch job prevents it from competing for CPU with the SAP application.
Related concept
Standard ACLs match source addresses.
✗
Upgrade the application server instance to a larger size, such as r5.16xlarge.
Why it's wrong here
While this could provide more CPU, it is a more costly solution and doesn't isolate the batch job's impact.
✗
Create an RDS read replica and offload the batch job's database queries to it.
Why it's wrong here
The issue is CPU on the application server, not database performance.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
How to think about this question
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
KKey Concepts to Remember
Standard ACLs match source addresses.
Extended ACLs can match source, destination, protocol and ports.
The first matching ACL entry is used.
There is usually an implicit deny at the end.
TExam Day Tips
→Check inbound versus outbound direction.
→Read the ACL from top to bottom.
→Look for a broader permit or deny above the intended line.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PAS-C01 ACL questions on filtering logic and placement.
Technology — This question tests Technology — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: Move the custom batch job to a separate EC2 instance dedicated to running batch processes. — Option A is correct because moving the batch job to a separate EC2 instance isolates the CPU-intensive process from the main SAP application, preventing it from affecting user sessions. Option B (increase instance size) is expensive and may not be necessary if the batch job can be separated. Option C (reschedule the job) might avoid peak hours but does not address the root cause of resource contention. Option D (RDS read replica) does not help with application server CPU issues.
What should I do if I get this PAS-C01 question wrong?
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PAS-C01 ACL questions on filtering logic and placement.
What is the key concept behind this question?
Standard ACLs match source addresses.
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Question Discussion
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