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Enterprise Geodata Management Professional 2201 exam practice questions play a crucial role in Enterprise Geodata Management Professional 2201 EGMP2201 exam preparation and give you insights Enterprise Geodata Management Professional 2201 exam view. You are aware of the Enterprise Geodata Management Professional 2201 EGMP2201 exam topics, structure, and a number of the questions that you will face in the upcoming Enterprise Geodata Management Professional 2201 EGMP2201 Exam. You can evaluate your Salesforce Enterprise Geodata Management Professional 2201 exam preparation performance and work on the weak topic areas. But here is the problem where you will get Enterprise Geodata Management Professional 2201 exam questions.

To be eligible to take the EGMP2201 Exam, candidates must have a minimum of two years of experience in geospatial data management, including knowledge of data modeling, data quality control, data security, and data dissemination. In addition, candidates should have a solid understanding of the ArcGIS platform, including ArcGIS Enterprise and ArcGIS Online, as well as experience with SQL Server or Oracle databases.

Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q42-Q47):

NEW QUESTION # 42
A wells feature class has one row per well. A well_inspections table has one row for each time a well was inspected. All inspection dates need to be displayed as labels clustered around each well on the map.
Which kind of association should be used to meet this requirement?

A. Relationship class
B. Relate
C. Join

Answer: B

Explanation:
Scenario Overview:
The wells feature class has one row per well.
The well_inspections table has one row for each inspection of a well.
Inspection dates from the well_inspections table need to be displayed as labels clustered around each well on the map.
The goal is to establish a connection between these two datasets without permanently joining them, as the data is being displayed dynamically (inspection dates are clustered around the wells).
Relates in Geodatabases:
A relate is a type of table association in which tables are linked by a common key field but remain separate.
Relates allow for dynamic queries to retrieve related records without duplicating or permanently associating the data.
Using a relate, you can query all inspection dates for a specific well dynamically, display them on the map as labels, and preserve the integrity of both the wells and inspections datasets.
(ArcGIS Documentation: Relates)
Alternative Options:
Option A: Join
A join merges two tables into one virtual table, based on a shared key. However, this approach is static and inappropriate for displaying dynamically clustered labels since the tables would need to be rejoined after every update.
Option C: Relationship Class
A relationship class is a more permanent association that enforces rules between two datasets. It is ideal for maintaining relationships between data but is unnecessary for dynamically labeling inspection dates on the map.
Thus, a relate is the most efficient and appropriate option for this scenario.

NEW QUESTION # 43
AGIS data manager realizes that archiving cannot be enabled for a feature class. An investigation reveals that the problem is in the feature class configuration.
How was the feature class registered?

A. Versioned with move edits to base
B. Branch versioned with editor tracking
C. Versioned without move edits to base

Answer: A

NEW QUESTION # 44
A GIS analyst needs to share a large repository of lidar data with the organization. This lidar data will have surface constraints applied for breaklines.
Which type of dataset should the GIS analyst use?

A. LAS dataset
B. Mosaic dataset
C. Feature dataset

Answer: A

Explanation:
Understanding the Scenario:
* The GIS analyst needs to share a large repository oflidar data.
* The data includes surface constraints like breaklines, which are used to enforce terrain or surface rules.
Dataset Types Overview:
* Mosaic Dataset:Designed for managing large collections of raster data, such as imagery or elevation grids. It is not specifically optimized for lidar point cloud data.
* Feature Dataset:A container for related feature classes in a geodatabase. It is unrelated to managing lidar data or surface constraints.
* LAS Dataset:A specialized dataset designed for managing lidar point clouds. It supports point classification, surface constraints (like breaklines), and efficient querying or visualization of lidar data.
Steps to Create and Share a LAS Dataset:
* Create a LAS dataset in ArcGIS Pro and add lidar files (LAS or ZLAS format).
* Define surface constraints (breaklines) in the LAS dataset properties.
* Share the LAS dataset as a service or package for organizational access.
References:
* Esri Documentation: LAS Datasets.
* Managing Breaklines in LAS Datasets: Instructions for incorporating surface constraints.
Why the Correct Answer is C:LAS datasets are explicitly designed for managing and sharing lidar data with surface constraints like breaklines. Mosaic and feature datasets are unsuitable for this purpose.

NEW QUESTION # 45
The GIS administrator does not have the database administrator credentials and needs to create an enterprise geodatabase for storage of vector data. The database administrator will provide a database with the appropriate users and permissions for use.
Which tool should the GIS administrator use?

A. Create Feature Dataset
B. Enable Enterprise Geodatabase
C. Create Enterprise Geodatabase

Answer: B

Explanation:
Understanding the Scenario:The GIS administrator lacks database administrator credentials but requires an enterprise geodatabase for vector data storage. In this setup, the database administrator (DBA) is responsible for preparing the database, including setting up users and permissions, while the GIS administrator is tasked with enabling it as an enterprise geodatabase.
Tool Selection Overview:
* Create Feature Dataset:This tool is for creating a logical grouping of related feature classes inside an existing geodatabase. It is unrelated to enabling or creating an enterprise geodatabase.
* Enable Enterprise Geodatabase:This tool is used when a database has already been created and configured by the DBA, and the GIS administrator needs to enable it as an enterprise geodatabase. It adds geodatabase system tables and functionality to the database. This aligns with the scenario described.
* Create Enterprise Geodatabase:This tool creates a new database and configures it as an enterprise geodatabase in one step.However, this tool requires database administrator credentials, which the GIS administrator in this scenario does not have.
Key Steps to Enable an Enterprise Geodatabase:
* Preparation by DBA:The DBA sets up the database, ensuring the appropriate users and permissions are in place. They also provide connection details to the GIS administrator.
* Using the Enable Enterprise Geodatabase Tool:
* Navigate toArcGIS ProorArcGIS Enterprise tools.
* Open theEnable Enterprise Geodatabasetool.
* Specify the database connection file for the target database.
* Provide the authorization file (a valid ArcGIS Server Enterprise license file) to enable geodatabase functionality.
* Execute the tool to add system tables, stored procedures, and geodatabase functionality to the database.
References:
* ArcGIS Pro Documentationon Enable Enterprise Geodatabase.
* Esri Enterprise Geodatabase Concepts: Official Esri documentation provides comprehensive details on the role of DBAs and GIS administrators in setting up enterprise geodatabases.
* ArcGIS Enterprise Licensing Guide: Detailed information about authorization files for enabling geodatabases.
Why the Correct Answer is B:The tool "Enable Enterprise Geodatabase" is specifically designed for situations where the database setup is handled by a DBA, and the GIS administrator is responsible only for enabling geodatabase capabilities. Since the GIS administrator does not have DBA credentials, they cannot use the "Create Enterprise Geodatabase" tool, which would require those credentials to create and configure a new database.

NEW QUESTION # 46
A GIS administrator receives reports of slowing performance across the entire geodatabase. Users report that the time for edits to be made and drawing are affected when adding 10.000 records. Traditional versioning is being used.
The following processes are completed weekly:
* Rebuilding of indexes and statistics
* Geodatabase compress
* Remove orphaned connections
Which action should be taken?

A. Reconcile and post versions
B. Update records via Python
C. Change to use Default version

Answer: A

Explanation:
Scenario Overview:
* Users experienceslowing performanceacross the geodatabase, particularly for edits and drawing when adding 10,000 records.
* The organization performs weekly maintenance tasks:
* Rebuilding indexes and statistics
* Compressing the geodatabase
* Removing orphaned connections
Why Reconcile and Post Versions?
* Slow performance in traditional versioning often results from excessive unreconciled versions and a bloatedstate tree.
* Reconciling and posting versions reduces the number of states, enabling geodatabase compression to fully collapse redundant states and improve performance.(ArcGIS Documentation: Reconcile and Post) Alternative Options:
* Option A: Change to use Default version
* This bypasses versioning workflows and does not address the root cause of performance degradation.
* Option B: Update records via Python
* Using Python to update records does not resolve issues caused by unreconciled versions or state tree inefficiencies.
Thus, the correct action is toreconcile and post versions, ensuring the geodatabase state tree is optimized and performance is restored.

NEW QUESTION # 47
......

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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q42-Q47):

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