Esri EGMP2201 Dumps - Pass the Enterprise Geodata Management Professional 2201 Exam in 2026

The issue arises because traditional versioned data stores edits in delta tables (Adds and Deletes) instead of the base table. SQL updates applied directly to the base table bypass the delta tables, resulting in incomplete or inconsistent updates.

1. How Traditional Versioning Affects Updates

In traditional versioning, edits are recorded in delta tables:

A_<ObjectID> (Adds): Tracks newly inserted rows.

D_<ObjectID> (Deletes): Tracks deleted rows.

When SQL commands are executed directly on the base table, they do not affect the data in the delta tables, which causes the feature class to reflect incomplete updates.

2. Why Not Other Options?

Nonversioned Feature Class that is Partitioned:

Partitioning organizes data for performance optimization but does not interfere with SQL commands updating the entire table.

Archiving Enabled on the Feature Class:

Archiving tracks historical changes in separate archive tables but does not directly impact SQL commands on the feature class.

Steps to Resolve the Issue:

For traditional versioned data, use the reconcile and post process to update values. This ensures that changes are correctly applied across delta tables and the base table.

Alternatively, use tools like ArcGIS Pro or ArcPy to programmatically update data instead of executing direct SQL commands.

Reference from Esri Documentation and Learning Resources:

Traditional Versioning Overview

Delta Tables and Traditional Versioning

Conclusion:

The issue occurs because the data is traditional versioned, and direct SQL commands do not account for the delta tables where edits are stored. Use the reconcile and post workflow or ArcGIS tools to apply updates correctly.

To migrate an enterprise geodatabase to another server while changing its name and repository table owner, creating a new enterprise geodatabase is the most appropriate workflow.

1. Why Create a New Enterprise Geodatabase?

New Geodatabase Name: Creating a new geodatabase allows specifying a different name for the database.

Change Repository Table Ownership: During the setup of the new geodatabase, the repository tables can be assigned to a new owner (e.g., DBO instead of SDE).

Fresh Configuration: This method provides full control over database settings, structure, and ownership during migration.

2. Why Not Other Options?

Restore a Database Backup:

Restoring a backup would preserve the original database name and ownership settings, which conflicts with the requirement to change these configurations.

Migrate Storage Geoprocessing Tool:

This tool is used for changing the storage type of geodatabase tables (e.g., from binary to XML). It is not designed for migration or renaming geodatabases or altering repository table ownership.

3. Steps to Create a New Enterprise Geodatabase:

Create the New Geodatabase:

Use the Create Enterprise Geodatabase geoprocessing tool in ArcGIS Pro or database-specific tools to set up the new geodatabase on the target server.

Configure the repository tables to use the desired owner (e.g., DBO).

Export Data from the Old Geodatabase:

Use Geodatabase replication, Export to File Geodatabase, or other export tools to migrate data to the new geodatabase.

Import Data to the New Geodatabase:

Load the exported data into the new geodatabase using the Import/Load Data tools.

Update Services and Connections:

Update database connection files and any published services to point to the new geodatabase.

Reference from Esri Documentation and Learning Resources:

Creating an Enterprise Geodatabase

Migrating Enterprise Geodatabases

Conclusion:

Creating a new enterprise geodatabase is the best method to meet the requirements of renaming the database and changing the repository table owner.

The issue arises because the standard database view is based on the base table of the points feature class, which does not include edits made in child versions. To resolve this, the database view must reference a versioned view to reflect changes in the Default version.

1. What Is a Versioned View?

A versioned view is created when a feature class is registered as versioned.

It allows querying and editing versioned data, including edits made in the Default version and child versions.

A standard database view does not account for the Adds and Deletes delta tables used in versioning, which is why edits are not visible.

2. Why Alter the View to Use a Versioned View?

By modifying the standard database view to reference the versioned view, the published web layer will reflect changes made in the Default version, including ongoing edits.

This ensures that updates to the points feature class are visible in the web layer without requiring manual intervention.

3. Why Not Other Options?

Have All Editors Reconcile and Post Points Edits to Default:

While this ensures edits are moved to the Default version, it requires continuous manual reconciliation and posting, which is impractical for a frequently edited dataset.

Rebuild Indexes and Calculate Database Statistics on Points:

These actions improve query performance but do not address the core issue of the standard view not reflecting versioned edits.

Steps to Alter the View:

Identify the versioned view associated with the points feature class. It typically has a name like points_EVW.

Modify the SQL for the existing view to reference the versioned view:

CREATE OR REPLACE VIEW points_web AS

SELECT <fields> FROM points_EVW;

Update the web layer to use the modified view as the data source.

Test the web layer to confirm that edits made to the Default version are now visible.

Reference from Esri Documentation and Learning Resources:

Publishing Data from Views

Conclusion:

To ensure edits made to the points feature class are visible in the web layer, the database view should be altered to reference the versioned view, which accounts for edits in the Default version.

To ensure that the parent geodatabase can be fully compressed, even with unacknowledged data change messages, the replication must be configured to replicate only the base tables.

1. What Happens with Unacknowledged Messages?

In traditional one-way replication, unacknowledged data change messages in the delta tables (Adds and Deletes) prevent full compression of the parent geodatabase.

By replicating only the base tables, the replication avoids using delta tables entirely, allowing the geodatabase to be fully compressed.

2. Why Replicate Only the Base Tables?

No Dependency on Delta Tables: This configuration ensures that the replication is based directly on the base table contents. As changes are not recorded in delta tables for replication, the parent geodatabase can be fully compressed without any impact.

Read-Only Copies: The replicated data in the child geodatabase will be read-only, which aligns with the requirement for regional offices.

3. Why Not Other Options?

Use the Full Replica Access Type:

Full replica access allows editing in the child geodatabase, which is unnecessary for read-only requirements. It also uses delta tables, preventing full compression.

Use the Archiving Option:

Archiving tracks historical edits and is unrelated to the replication or compression process. It does not solve the problem of unacknowledged messages blocking compression.

Steps to Set Up One-Way Replication with Base Tables:

Open ArcGIS Pro and connect to the parent geodatabase.

Use the Create Replica tool and select One-Way Replication.

Choose the option to replicate base tables only during the configuration process.

Define the datasets to replicate and complete the replication setup.

Reference from Esri Documentation and Learning Resources:

One-Way Replication Overview

Compressing Enterprise Geodatabases

Conclusion:

Configuring replication to replicate only the base tables ensures that the parent geodatabase can be fully compressed, even with unacknowledged data change messages.

Understanding the Scenario:

Edits made to a feature class need to be immediately visible to all users.

This indicates a requirement for direct edits to the base tables without any versioning overhead.

Editing Configuration Overview:

Traditional Versioned Editing: Edits are made to delta tables and require version reconciliation and posting to be visible to other users. This introduces a delay and does not meet the requirement for immediate visibility.

Nonversioned Editing: Edits are applied directly to the base table of the feature class, ensuring they are immediately visible to all users. This is the correct choice for the scenario.

Branch Versioned Editing: Edits are made in a branch version and are not immediately visible to other users unless the edits are saved to the default branch. This is not the best choice for immediate visibility.

Steps to Configure Nonversioned Editing:

Ensure the feature class is set to nonversioned editing mode in the enterprise geodatabase.

Grant necessary permissions for all users to edit the base table.

All edits made to the dataset will instantly reflect for all users.

Reference:

Esri Documentation: Nonversioned Editing.

Why the Correct Answer is B: Nonversioned editing is the only configuration that ensures immediate visibility of edits to all users. Traditional and branch versioning involve workflows that delay edit visibility.