Esri EGMP2201 Exam - Topic 2 Question 15 Discussion

Actual exam question for Esri's EGMP2201 exam

Question #: 15
Topic #: 2

A GIS data administrator frequently changes the map based on definition queries. A noticeable lag occurs when changing the parameter value of the definition query.

Which action should be taken?

AAdd Attribute Index

BAdd Spatial Index

CRecalculate Extent

Show Suggested Answer

Suggested Answer: A

Scenario Overview:

The GIS data administrator is experiencing lag when changing the parameter value of a definition query.

Definition queries dynamically filter data based on attribute values. Slow performance often indicates inefficient attribute searches.

Solution: Add Attribute Index

An attribute index allows the database to quickly locate rows based on values in the indexed column, significantly improving query performance.

When definition queries rely on non-indexed fields, the database must scan the entire dataset to filter records, leading to noticeable delays.

By creating an attribute index on the fields used in the definition query, the database can optimize filtering, reducing lag. (ArcGIS Documentation: Attribute Indexes)

Steps to Add Attribute Index:

In ArcGIS Pro, open the Attribute Indexes tool.

Select the feature class or table used in the definition query.

Specify the field(s) that the definition query is based on.

Click Run to create the index.

Alternative Options:

Option B: Add Spatial Index

Spatial indexes optimize spatial queries (e.g., finding features within an area). This does not address attribute-based definition query lag.

Option C: Recalculate Extent

Recalculating the extent corrects boundary discrepancies in spatial datasets but has no impact on attribute query performance.

Thus, adding an attribute index is the correct action to resolve lag in definition queries.

by James at Jul 09, 2025, 08:45 AM

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Eric

2 months ago

Wow, I didn't know definition queries could lag like that!

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Kasandra

3 months ago

Recalculating extent seems unnecessary here.

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Vincent

3 months ago

I think a spatial index would help more, though.

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Cherry

3 months ago

Are you sure an index is the right fix? Sounds too simple.

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Pamella

3 months ago

Adding an attribute index can really speed things up!

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Margurite

3 months ago

I feel like I read that definition queries can benefit from attribute indexing, but I can't remember the details. It’s a bit confusing!

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Graham

4 months ago

Recalculating the extent seems like it might help, but I don't recall it being a common solution for lag issues.

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Maia

4 months ago

I think adding a spatial index could help with performance, especially if the data is large and complex. I saw a similar question in practice that suggested that.

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Mila

4 months ago

I remember something about how adding an attribute index can speed up queries, but I'm not entirely sure if that's the best option here.

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Edna

4 months ago

I've got a good feeling about adding an attribute index for this one. The question mentions the lag is related to changing the definition query parameters, so that seems like the logical solution.

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Staci

4 months ago

I'm a little confused by this question. What exactly is a definition query, and how would that relate to the lag? I'll have to think this through more.

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Vivan

5 months ago

Okay, let's see. If the lag is happening when changing the definition query, then adding an attribute index might be the way to go. I'll mark that as my answer.

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