PAS-C01 Technology Practice Question
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 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
✓
Move the custom batch job to a separate EC2 instance dedicated to running batch processes.
The correct answer. Moving the custom batch job to a separate EC2 instance isolates the CPU-intensive process from the main SAP application server, preventing it from impacting user sessions. This resolves the issue without losing batch job functionality. Option A (rescheduling) might avoid peak hours but does not address resource contention if the batch job overlaps with other activities. Option C (upgrading instance) is costly and may not be necessary. Option D (RDS read replica) only offloads database queries and does not address application server CPU spikes.
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.
- ✗
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.
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