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Esri EADP19-001 Exam - Topic 5 Question 2 Discussion

An ArcGIS user is making a map and needs to symbolize cliff and escarpment features above contour features. How can the features be ordered correctly if they are all in the same layer?
B) use symbol level drawing
A) set a definition query
C) use scale-dependent drawing
D) reorder the symbols in the symbology properties

Esri EADP19-001 Exam - Topic 5 Question 2 Discussion

Actual exam question for Esri's EADP19-001 exam
Question #: 2
Topic #: 5
[All EADP19-001 Questions]

An ArcGIS user is making a map and needs to symbolize cliff and escarpment features above contour features. How can the features be ordered correctly if they are all in the same layer?

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Suggested Answer: B

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Cammy
10 months ago
I’m surprised this isn’t more straightforward!
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Lemuel
10 months ago
A definition query won't help with layering, right?
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Kattie
11 months ago
Wait, can you really use scale-dependent drawing for this?
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Lili
11 months ago
I think D could work too, but B seems more efficient.
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Gilma
11 months ago
Definitely B, symbol level drawing is the way to go!
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Leota
11 months ago
Setting a definition query seems like it could help, but I don't think it actually changes the order of how features are displayed.
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Gilma
11 months ago
I feel like we practiced a question similar to this, and I think the answer was about reordering symbols in the symbology properties.
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Carylon
11 months ago
I remember we talked about symbol level drawing in class, but I'm not entirely sure how it works in this context.
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Denise
11 months ago
I think using scale-dependent drawing might be relevant, but it doesn't really address the layering issue directly.
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Karina
11 months ago
Hmm, I'm a bit unsure about this one. I'll need to think it through carefully.
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Olive
11 months ago
Ah, I remember learning about this in class. Central Governance, Enterprise Search, Data Quality, and Consolidation and Mass Change - those sound like the main modules. I'm fairly confident in this answer.
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Catalina
11 months ago
I like the idea of using AI Platform to run the classification model with hyperparameter tuning. That could give us a lot of flexibility and control over the process. I'm going to read through the details of option D a bit more closely.
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