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Exam AWS Certified SAP on AWS - Specialty PAS-C01 topic 1 question 46 discussion

Exam question from Amazon's AWS Certified SAP on AWS - Specialty PAS-C01
Question #: 46
Topic #: 1
[All AWS Certified SAP on AWS - Specialty PAS-C01 Questions]

Business users are reporting timeouts during periods of peak query activity on an enterprise SAP HANA data mart. An SAP system administrator has discovered that at peak volume, the CPU utilization increases rapidly to 100% for extended periods on the x1.32xlarge Amazon EC2 instance where the database is installed. However, the SAP HANA database is occupying only 1,120 GiB of the available 1,952 GiB on the instance. I/O wait times are not increasing. Extensive query tuning and system tuning have not resolved this performance problem.
Which solutions should the SAP system administrator use to improve the performance? (Choose two.)

  • A. Reduce the global_allocation_limit parameter to 1,120 GiB.
  • B. Migrate the SAP HANA database to an EC2 High Memory instance with a larger number of available vCPUs.
  • C. Move to a scale-out architecture for SAP HANA with at least three x1. 16xlarge instances.
  • D. Modify the Amazon Elastic Block Store (Amazon EBS) volume type from General Purpose to Provisioned IOPS for all SAP HANA data volumes.
  • E. Change to a supported compute optimized instance type for SAP HANA.
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Suggested Answer: BE 🗳️
by kk8s at Jan. 31, 2023, 3:02 p.m.
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koki2847
1 year, 1 month ago
Selected Answer: BC
SAP HANA does not certify compute optimized instances. So E is not preferable I guess. https://docs.aws.amazon.com/sap/latest/general/sap-hana-aws-ec2.html
upvoted 1 times
koki2847
1 year, 1 month ago
"For SAP HANA databases that run in memory, memory optimized (r*, x*, u*) are your only options." https://docs.aws.amazon.com/wellarchitected/latest/sap-lens/best-practice-13-2.html
upvoted 1 times
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acethetest1000
1 year, 6 months ago
Selected Answer: BE
I think it relates to SAP HANA best practices as it recommends scaling up as much as possible before scaling out. As AWS works based on t-shirt sizes and HANA demands memory optimized the next step is High Memory instance type, which in turn will increase the CPU amount.
upvoted 2 times
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G4Exams
1 year, 8 months ago
Selected Answer: BE
B and E.
upvoted 1 times
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kaishin0527
1 year, 9 months ago
Selected Answer: BE
B,E: This problem is about high CPU usage. The SAP HANA database is not fully utilizing the available memory, but CPU utilization is reaching 100% during peak query times. This suggests that the workload is CPU-bound. Therefore, you can alleviate this issue by adding more CPU resources, either by moving to a larger High Memory instance or switching to a compute-optimized instance type that has more vCPUs available.
upvoted 1 times
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[Removed]
1 year, 9 months ago
Selected Answer: BE
Options B,E
upvoted 1 times
[Removed]
1 year, 9 months ago
Focus on the probable root cause of the performance issue, which is high CPU utilization.
upvoted 1 times
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easytoo
1 year, 11 months ago
b-c-b-c-b-c
upvoted 2 times
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Shaktimaan
2 years, 2 months ago
A - WRONG, since no need to reduce memory. B - WRONG, there is no ec2 instance larger than x1.32xlarge in X1 family. C. RIGHT, Will add additional 1.5 times more CPU and Memory. D. WRONG, No I/O issue as mentioned. E. RIGHT, best way to get more compute and save on memory.
upvoted 2 times
acethetest1000
1 year, 6 months ago
The option B reads: move a High Memory instance which starts with 224vCPU and 3TB of memory: https://aws.amazon.com/ec2/instance-types/#memory-optimized
upvoted 1 times
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blanco750
2 years, 2 months ago
Selected Answer: CE
Not 100% sure but eliminating the wrong ones A. Reduce the global_allocation_limit parameter to 1,120 GiB. WRONG. Memory has nothing to do with High CPU here so this won't help B. Migrate the SAP HANA database to an EC2 High Memory instance with a larger number of available vCPUs. Wrong. we need CPU optimized not memory C. Move to a scale-out architecture for SAP HANA with at least three x1. 16xlarge instances. Scaling out actually helps in cases of high CPU utilization D. Modify the Amazon Elastic Block Store (Amazon EBS) volume type from General Purpose to Provisioned IOPS for all SAP HANA data volumes. Issue is not related to high DISK I/O as it clearly says I/O wait is not increasing E. Change to a supported compute optimized instance type for SAP HANA. this is probabaly the most correct option. use CPU optimized instances
upvoted 1 times
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Hyperdanny
2 years, 3 months ago
I am voting for B/C: Change to a more powerful instance type (High Memory type) or scale out .
upvoted 3 times
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kk8s
2 years, 3 months ago
C,D https://docs.aws.amazon.com/wellarchitected/latest/sap-lens/best-practice-16-5.html
upvoted 4 times
matakuyy2
2 years, 2 months ago
I don't think D is the answer. I don't think D is the answer, because it says "I/O wait times are not increasing", so I don't think I/O is the problem.
upvoted 1 times
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everydaysmile
2 years, 2 months ago
can't choice B. Because the documentation says "but when that is not an option (such as scaling up a database instance), have a process in place to do so manually." So i choose C and D
upvoted 2 times
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