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Esri Exam EADP19-001 Topic 10 Question 47 Discussion

Actual exam question for Esri's EADP19-001 exam
Question #: 47
Topic #: 10
[All EADP19-001 Questions]

An ArcGIS user in a county office receives a large volume of data In shapefiles, coverages and table formats. The user is responsible for converting the data to a standard feature class format and writing it into a central enterprise geodatabase. The data must be simultaneously available for editing and spatial analysis tasks.

How should the Windows Task Scheduler be used to achieve these goals?

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Suggested Answer: A, D

by Norah at Jun 20, 2024, 03:03 PM

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Olen
2 months ago
Option A seems a bit too basic. I mean, a simple log of script validation errors? Where's the excitement, the drama? I'm going with D for the win!
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Maybelle
30 days ago
Definitely. Plus, scheduling it at non-peak hours ensures minimal disruption to other tasks.
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Maira
1 months ago
Yeah, I agree. It's a more advanced approach compared to just logging script validation errors.
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Ruby
2 months ago
I think D is the way to go. Running a model at non-peak hours sounds efficient.
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Roxanne
2 months ago
Haha, patching tasks in a script? That's like trying to fix a leaky faucet with duct tape. Option D all the way, folks!
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Harrison
1 months ago
D) patch the tasks in a model and schedule to run the model at a scheduled time at non-peak hours
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Desire
2 months ago
C) patch the tasks in a script and schedule to run the script at a scheduled time at non-peak hours
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Leota
2 months ago
B) schedule to run a geoprocessing service with the tasks and allocate a specific time to run each task in the service
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Adelina
2 months ago
A) schedule to run a geoprocessing service with the tasks and maintain log of script validation errors
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Dewitt
3 months ago
I'm torn between B and D. Running a geoprocessing service or a model, both seem viable options. Guess I'll have to weigh the pros and cons of each approach.
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Lavonna
2 months ago
D) patch the tasks in a model and schedule to run the model at a scheduled time at non-peak hours
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Adria
2 months ago
B) schedule to run a geoprocessing service with the tasks and allocate a specific time to run each task in the service
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Clarence
3 months ago
That's a good point, Phillip. Running a model can streamline the process and reduce errors.
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Kattie
3 months ago
Option D sounds like the way to go. Scheduling a model to run during non-peak hours ensures the data is available for editing and analysis without disrupting the workflow.
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Glennis
2 months ago
Scheduling tasks during non-peak hours is a smart way to manage data processing in a county office.
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Mauricio
2 months ago
It's important to make sure the data is accessible for editing and analysis when needed.
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Marcelle
2 months ago
I agree, running a model at a scheduled time is efficient and won't interfere with other tasks.
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Allene
2 months ago
Option D sounds like the way to go. Scheduling a model to run during non-peak hours ensures the data is available for editing and analysis without disrupting the workflow.
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Phillip
3 months ago
I disagree, I believe option D is more efficient. Running a model at non-peak hours is the way to go.
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Clarence
3 months ago
I think option B is the best choice. It allows for specific timing for each task.
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