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Esri EGMP2201 certification exam is a comprehensive assessment of a candidate's knowledge and skills in enterprise geodata management. EGMP2201 exam is designed to test a candidate's ability to design, implement, maintain, and troubleshoot enterprise geodata management systems. EGMP2201 exam consists of multiple-choice questions, and candidates must score at least 70% to pass the exam and earn the certification.

Esri EGMP2201 certification exam is a professional certification program that validates a candidate's expertise in enterprise geodata management. Enterprise Geodata Management Professional 2201 certification is recognized globally as a standard of excellence in the GIS industry and can help professionals advance their careers. To prepare for the exam, candidates can take advantage of Esri's training courses and resources and take practice exams to assess their knowledge.

The EGMP2201 Exam covers a range of topics including geodatabase design, data quality control, data sharing, and security. It is a rigorous exam that requires a thorough understanding of the principles and practices of geodata management. Professionals who pass the EGMP2201 exam are recognized as experts in the field of enterprise geodata management and are highly valuable assets to organizations that rely on geospatial data.

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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q18-Q23):

NEW QUESTION # 18
An organization needs to reduce the number of RDBMS users. ArcGIS Enterprise and ArcGIS Pro are implemented. Editors need to isolate edits and ensure that edits are reviewed before becoming public.
Which editing model should the GIS administrator implement?

A. Traditional versioning
B. Nonversioned editing
C. Branch versioning

Answer: A

Explanation:
Understanding the Scenario:
* Editors need to isolate their edits so that changes are not immediately visible to others.
* Edits must bereviewed before becoming public, indicating a requirement for a structured approval process.
* The organization aims to reduce the number of RDBMS users, which suggests centralized management of access and permissions.
Editing Models Overview:
* Branch Versioning:Designed for web-based workflows and does not require direct RDBMS access for each editor. However, edits made in branch versioning are inherently collaborative and are not isolated unless explicitly controlled through a branch-per-user workflow, which adds complexity.
* Traditional Versioning:
* Supports isolated editing through private versions.
* Editors can create their own versions, make changes, and submit them for review by reconciling and posting to the default version.
* Direct access to the RDBMS is centralized, reducing the need for individual RDBMS users.
* Nonversioned Editing:Does not support isolated edits or versioned workflows, making it unsuitable for this scenario.
Steps to Implement Traditional Versioning:
* Register the feature class asversionedin the enterprise geodatabase.
* Allow editors to createprivate versionsfor making isolated edits.
* Implement a workflow for reconciling and posting edits after review.
References:
* Esri Documentation: Traditional Versioning.
* Versioned Editing Best Practices: Guidelines for isolating and reviewing edits.
Why the Correct Answer is B:Traditional versioning meets all requirements: it isolates edits, allows for review before posting, and reduces the number of RDBMS users through centralized version management.
Branch versioning is web-centric and lacks the structured review process, while nonversioned editing does not support isolation or versioning.

NEW QUESTION # 19
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. Mosaic dataset
B. Feature dataset
C. LAS dataset

Answer: C

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 # 20
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. Join
B. Relationship class
C. Relate

Answer: C

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 # 21
An organization has a requirement to allow editing of feature classes in mobile and web apps. A database administrator will need to add indexes to feature classes to improve performance on common queries.
Where should these feature classes be stored?

A. Mobile geodatabase
B. File geodatabase
C. Enterprise geodatabase

Answer: C

Explanation:
Understanding the Scenario:
* The organization requires feature classes to beeditable in mobile and web apps.
* Performance optimization through indexing is also needed for common queries.
Feature Class Storage Options:
* Enterprise Geodatabase:
* Supports multiuser environments, making it suitable for mobile and web app editing.
* Allows indexing at the database level, which improves query performance for large datasets.
* Provides robust versioning, replication, and sync capabilities for mobile workflows.
* File Geodatabase:
* Supports single-user access and lacks enterprise-grade indexing and multiuser editing capabilities.
* Does not meet the requirements for web and mobile app editing.
* Mobile Geodatabase:
* Optimized for mobile apps but does not support the enterprise-level indexing and multiuser workflows required for this scenario.
Steps for Storing and Optimizing Feature Classes:
* Store the feature classes in an enterprise geodatabase.
* Create indexes on frequently queried columns to optimize performance for mobile and web app queries.
* Use tools likeArcGIS Proto publish feature services for mobile and web app editing.
References:
* Esri Documentation: Enterprise Geodatabases Overview.
* Indexing for Performance Optimization: Guidelines for improving query performance in enterprise environments.
Why the Correct Answer is A:Enterprise geodatabases are the only storage option that supports multiuser editing in mobile and web apps and provides advanced indexing capabilities. File and mobile geodatabases lack the necessary functionality for this use case.

NEW QUESTION # 22
A user creates a database view of a feature class and then registers the view with the geodatabase.
How does registering benefit users?

A. The geometry type, spatial reference, and row ID field are added to the system tables for reference
B. The registration process allows the database contents view to be edited using ArcGIS tools
C. Viewers can modify which fields are visible for the database view

Answer: A

Explanation:
When a database view is registered with the geodatabase, the geometry type, spatial reference, and row ID field are added to the geodatabase system tables. This enables ArcGIS to recognize and use the view effectively.
1. What Happens During Registration?
* System Table Updates: Registering the view adds metadata to the geodatabase system tables, including:
* The geometry type (e.g., point, polygon).
* The spatial reference (coordinate system).
* The row ID field used to uniquely identify rows.
* This metadata ensures that the database view is treated as a spatial dataset within ArcGIS.
2. Benefits of Registration:
* Spatial Functionality: Registered views can be used in ArcGIS for visualization, analysis, and querying.
* Geodatabase Tools Compatibility: Tools like attribute editing and symbology work seamlessly with registered views.
3. Why Not Other Options?
* Viewers Can Modify Which Fields Are Visible for the Database View:
* The visibility of fields in a database view is determined by the SQL query used to create the view, not by the registration process.
* The Registration Process Allows the Database Contents View to Be Edited Using ArcGIS Tools:
* Registered views remain read-only in ArcGIS, regardless of registration. Registration does not allow editing the view's contents.
Steps to Register a Database View with the Geodatabase:
* OpenArcGIS Proand connect to the database.
* Use theRegister With Geodatabasetool.
* Specify the database view to be registered.
* Confirm that the geometry type, spatial reference, and row ID field are properly recognized.
References from Esri Documentation and Learning Resources:
* Registering Views with the Geodatabase
* Geodatabase Metadata
Conclusion:
Registering a database view with the geodatabase ensures that thegeometry type, spatial reference, and row ID field are added to the system tables for reference, enabling ArcGIS to treat the view as a spatial dataset.

NEW QUESTION # 23
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