Exam MB-330 topic 6 question 1 discussion

Actual exam question from Microsoft's MB-330

Question #: 1
Topic #: 6

A retailer that uses Dynamics 365 Supply Chain Management is conducting master planning runs with 300,000 items in a single planned order run on average.
Optimizations are needed to improve performance. Most of the items in the master planning runs do not have dependencies on the other items.
Planning multiple items together in a single group will help with performance.
You need to configure the system to increase performance.
Which configuration should you use?

A. Number of tasks in a helper bundle
B. Number of threads
C. Use of cache
D. Time fences
E. Number of orders in a firming bundle

Show Suggested Answer

Suggested Answer: A 🗳️
Reference:
https://docs.microsoft.com/en-us/dynamics365/supply-chain/master-planning/master-planning-performance

by Karl127 at Jan. 16, 2022, 3:06 p.m.

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globeearth

3 months ago

Selected Answer: A

Given the problem’s emphasis on "planning multiple items together in a single group" to improve performance, and considering that most items lack dependencies, the best approach is to optimize parallel processing of independent items. In Dynamics 365, the "Number of tasks in a helper bundle" (Option A) directly relates to grouping tasks for parallel execution by helper processes during master planning.

upvoted 1 times

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Nors

10 months, 3 weeks ago

Selected Answer: A

Answer is number of helpers

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Karl127

2 years, 4 months ago

A and B are correct, but due to the following I would chose A: If you have performance issues, we recommend that you reduce the Number of helpers in task bundle setting to 1. You can then start the trial-and-error process to find the best value for your setup. In general, performance issues occur when one item takes longer to process than the remaining items. In this case, you will see that two subsequent tasks that have a status of Coverage in the master planning run take significantly different amounts of time to run. In extreme cases, this difference might be as much as 30 minutes. You can infer the amount of time that tasks take to run by looking at the duration of each task.

upvoted 3 times

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