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Esri EAEP2201 Exam - Topic 3 Question 2 Discussion

Actual exam question for Esri's EAEP2201 exam
Question #: 2
Topic #: 3
[All EAEP2201 Questions]

A GIS administrator installs and configures an ArcGIS GeoAnalytics Server machine with four cores and 16 GB of RAM. Users experience a slowdown when analyzing large datasets.

Which action should the administrator perform?

Show Suggested Answer Hide Answer
Suggested Answer: B

ArcGIS GeoAnalytics Server is designed to perform distributed analysis on large volumes of spatial and temporal data. To efficiently process large datasets, it is recommended that each machine in the GeoAnalytics Server site has at least 16 GB of RAM and 4 CPU cores. However, for optimal performance, especially when handling very large datasets, increasing the available RAM can significantly improve processing times.

In this scenario, the machine already has 16 GB of RAM and 4 cores. Adding more RAM would allow the GeoAnalytics Server to allocate more memory per job, enhancing its ability to process large datasets efficiently. Therefore, the recommended action is to add 16 GB of RAM to the GeoAnalytics Server machine.

Reference Source: ArcGIS Enterprise documentation on GeoAnalytics Server system requirements and performance optimization.


by Junita at Oct 04, 2025, 02:33 AM

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Celeste
10 days ago
Hosting server might help, but more RAM is safer.
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Barbra
15 days ago
I feel like setting it as a hosting server could optimize it.
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Zita
20 days ago
True, but RAM impacts performance more directly.
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Whitley
25 days ago
But wouldn't adding cores help too?
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Ezekiel
1 month ago
Yeah, 16 GB might not be enough for large datasets.
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Mel
1 month ago
Not sure if just adding RAM will solve the slowdown issue.
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Vicki
1 month ago
Definitely need more cores for better processing speed.
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Natalya
2 months ago
Surprised they only have 16 GB for large datasets!
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Ahmad
2 months ago
I think setting it as the hosting server is a better option.
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Mickie
2 months ago
Adding more RAM could help with performance.
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Remedios
2 months ago
I feel like the number of cores is important, but I wonder if 16 GB of RAM is enough for large datasets. Could it be both?
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Gladys
2 months ago
More cores AND more RAM? That's like asking for a Ferrari with a private jet attached. Talk about overkill!
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Ty
2 months ago
I think adding more RAM is crucial.
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Jacki
3 months ago
Setting the GeoAnalytics Server as the hosting server sounds familiar, but I can't recall if that actually addresses the slowdown issue.
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Loren
3 months ago
I think I saw a similar question where increasing RAM improved performance, so maybe option B is the way to go?
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Charlene
3 months ago
I remember reading that adding more cores can help with processing speed, but I'm not sure if that's the best option here.
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Lorita
3 months ago
Wait, is this a trick question? I feel like the answer is obvious, but I don't want to overthink it.
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Deandrea
4 months ago
Setting the GeoAnalytics Server as the hosting server? That's a strange suggestion. I don't think that would solve the performance issue.
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Youlanda
4 months ago
Hmm, I'm not sure. Adding RAM might be a better option to handle the increased memory requirements.
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Lucia
4 months ago
I think adding more cores would be the way to go. More processing power should help with those large datasets.
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Zena
4 months ago
Based on the information provided, I think adding more cores is the way to go. That should give the users the performance boost they need when working with large datasets.
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Tawanna
4 months ago
Hmm, this is a tricky one. I'll need to think through the hardware requirements and potential bottlenecks before deciding which action to take.
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Gregoria
5 months ago
Setting the GeoAnalytics Server as the hosting server seems like it could be a good option. That might help distribute the workload and improve performance.
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Kaycee
5 months ago
I'm not sure if adding more RAM is the right solution. The question doesn't mention if the server is running out of memory, so that might not be the issue.
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Reta
5 months ago
I think adding more cores to the machine would be the best approach here. More processing power should help speed up the large dataset analyses.
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Carey
3 months ago
True, cores will enhance the overall speed.
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