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Esri EADP19-001 Exam With Confidence Using Practice Dumps

Exam Code:
EADP19-001
Exam Name:
ArcGIS Desktop Professional 19-001
Certification:
Technical Certification
Vendor:
Esri
Questions:
93
Last Updated:
Apr 30, 2025
Exam Status:
Stable
Esri EADP19-001

EADP19-001: Technical Certification Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Esri EADP19-001 (ArcGIS Desktop Professional 19-001) exam? Download the most recent Esri EADP19-001 braindumps with answers that are 100% real. After downloading the Esri EADP19-001 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Esri EADP19-001 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Esri EADP19-001 exam on your first attempt, we have compiled actual exam questions and their answers. 

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ArcGIS Desktop Professional 19-001 Questions and Answers

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Question 1

An ArcGIS user is tasked with converting an IDRISI vector format file to a geodatabase feature class. The user does not need to change any aspects of the data source in the output feature class.

Which tool should the user employ?

Options:

A.

Feature Class to Feature Class

B.

IDRISI to Feature Class

C.

Quick Import

D.

Raster to Geodatabase

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Question 2

For a project, an ArcGlS user creates a custom user interface form to allow data entry and editing directly with the database. This form must be available within ArcMap and also as a stand-alone tool.

How can this custom form be made available within ArcMap?

Options:

A.

as a layer package

B.

as a custom transformer

C.

as an add-in

D.

as an ArcPy Python script

Question 3

An ArcGlS user is given a populated geodatabase thai contains a few highly accurate feature classes and a few feature classes that are less accurate.

When designing a geodatabase topology, which coordinate rank should be assigned to feature classes of less accuracy when compared with feature classes of higher accuracy?

Options:

A.

rank them higher so the coordinates of highly accurate feature classes are adjusted

B.

rank them lower so their coordinates are adjusted to highly accurate feature classes

C.

rank them the same as highly accurate feature classes so their coordinates are adjusted to weighted average

D.

rank them higher so their coordinates are not adjusted

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