Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

SAP C_IBP_2502 Exam - Topic 3 Question 15 Discussion

Which options can be used to reduce the runtimes of a time-series optimizer run? Note: There are 3 correct answers to this question.
A) Keep the number of fairshare segments small and C) Use non-overlapping networks by using Subnetworks ID maintained at Location-Products to reduce the size of the problem and D) Eliminate the usage of telescopic time buckets
B) Split into multiple planning areas to support weekly vs. daily planning needs.
E) Increase the use of incremental lot size beyond the frozen horizon.

SAP C_IBP_2502 Exam - Topic 3 Question 15 Discussion

Actual exam question for SAP's C_IBP_2502 exam
Question #: 15
Topic #: 3
[All C_IBP_2502 Questions]

Which options can be used to reduce the runtimes of a time-series optimizer run? Note: There are 3 correct answers to this question.

Show Suggested Answer Hide Answer
Suggested Answer: A, C, D

by Caprice at Nov 20, 2025, 04:11 AM

Limited Time Offer

25%

Off

Get Premium C_IBP_2502 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Bobbie
4 months ago
I agree with Kimi. Splitting the problem and using non-overlapping networks are great ways to optimize.
upvoted 0 times
...
Kimi
5 months ago
A, C, and E are the correct answers. Reducing the problem size is key to faster runtimes.
upvoted 0 times
...
Lawana
5 months ago
I feel like splitting into multiple planning areas could be beneficial, but I’m not sure if it’s a correct option for this question.
upvoted 0 times
...
Mila
5 months ago
Eliminating telescopic time buckets sounds familiar, but I can't recall if it actually reduces runtimes or not.
upvoted 0 times
...
Wilda
5 months ago
Increasing the use of incremental lot size beyond the frozen horizon is an interesting idea, but I'm not sure how much that would impact the runtime. Might be worth trying if the other options don't work.
upvoted 0 times
...
Veronique
5 months ago
I think keeping the number of fairshare segments small might help, but I'm not entirely sure if it's one of the correct answers.
upvoted 0 times
...
Leanna
6 months ago
Splitting into multiple planning areas and eliminating telescopic time buckets seem like the most straightforward ways to speed things up. I'd start there and see if that makes a big difference.
upvoted 0 times
...
Elli
6 months ago
I think A is a good choice. Less segments mean faster runs.
upvoted 0 times
...
Freida
6 months ago
I remember practicing a question about using non-overlapping networks, so I feel confident that option C is definitely one of the answers.
upvoted 0 times
...
Oren
6 months ago
I'm a bit confused about the difference between planning areas and subnetworks. Do we need to use both of those options to reduce the runtime?
upvoted 0 times
...
Dong
7 months ago
I think keeping the number of fairshare segments small and using non-overlapping networks would be good strategies to try. The telescopic time buckets might be slowing things down too.
upvoted 0 times
Lettie
6 months ago
I agree, keeping fairshare segments small is key.
upvoted 0 times
...
...

Save Cancel