Esri Enterprise Geodata Management Professional 2201 EGMP2201 Exam Dumps: Updated Questions & Answers (October 2025)

To determine if theAddsandDeletestables for the "Buildings" dataset are empty before unregistering as versioned, the GIS administrator needs to reference thesde_layerstable.

1. Purpose of the sde_layers Table

Thesde_layerstable tracks the relationship between base tables and the associated delta tables (Adds and Deletes).

For each versioned dataset, the sde_layers table contains entries linking the dataset to its corresponding A and D tables (e.g., A_ and D_).

2. Steps to Verify Adds and Deletes

Identify theObjectIDof the Buildings dataset in thesde_layerstable.

Query the Adds table (A_) and Deletes table (D_) associated with the Buildings dataset:

SELECT COUNT(*) FROM A_;

SELECT COUNT(*) FROM D_;

If both queries return 0, the Adds and Deletes tables are empty, and it is safe to unregister the dataset as versioned.

3. Why Not Other Options?

table_registry: This table tracks registered datasets but does not provide information about delta tables or their contents.

gdb_items: This table stores metadata for datasets but does not have details on delta table contents.

References from Esri Documentation and Learning Resources:

Compressing a Geodatabase—ArcGIS Pro Documentation

Delta Tables in Versioned Geodatabases

Conclusion:

The GIS administrator must query thesde_layerstable to verify the Adds and Deletes tables before unregistering the dataset as versioned.

 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.

 Understanding the Scenario:The database administrator wants to improve the performance of a nightly data load process, which involves truncating and appending a large table with geometry and several attributes. The current Append operation takes 120 minutes, and indexes are re-created after the data is loaded.

 Identifying the Bottleneck:

Spatial indexes speed up query performance but can significantly slow down data loading operations like Append.

When loading large datasets, maintaining the spatial index during the operation forces constant updates, leading to performance degradation.

 Recommended Optimization:

Removing the Spatial Index:

Before the Append operation, drop the spatial index to eliminate overhead during data insertion.

After the Append operation completes, recreate the spatial index to restore query performance.

This approach ensures that the Append process only focuses on inserting records without additional computational load from maintaining the spatial index.

 Steps to Implement the Recommendation:

Drop the spatial index using the appropriate database management command or tool.

Execute the Append process.

Rebuild the spatial index once the Append process is complete.

 References:

Esri Documentation: Best practices for large data loads: Managing Indexes.

Spatial Index Concepts: Understanding how spatial indexes impact data loading operations.

 Why the Correct Answer is B:Removing the spatial index before appending large datasets can significantly reduce the time required for data insertion. Options A (removing the objectid index) and C (adding a unique key index) are irrelevant because the objectid index is system-managed and the unique key index creation would not improve the performance of the Append operation.

Scenario Overview:

Editors reconcile and post daily, but read-only versions created for analysis are not reconciled or posted.

The geodatabase is compressed nightly, but performance continues to degrade.

Cause of the Problem:

Unreconciled versions, including read-only ones, persist in the state tree, preventing the geodatabase compression from fully collapsing unused states.

Over time, this results in a bloated state tree and worsened performance.

Solution:

Reconciling and posting the read-only versions ensures that the state tree is cleared of unnecessary versions, enabling compression to collapse the database to its optimal state.

(ArcGIS Documentation: Reconcile and Post)

Alternative Options:

Option B: Creating a database view provides a read-only representation of data but does not address the underlying issue of unresolved states in the state tree.

Option C: Disabling editor tracking is unrelated to state tree performance issues and has no impact on the reconciliation or compression processes.

Therefore, reconciling the read-only versions will significantly improve performance.

For a large government organization requiring an equivalent data presence in a standby data center,database replicationis the ideal solution.

1. What is Database Replication?

Database replication involves duplicating data from a primary database to a secondary database in near real-time or on a scheduled basis.

This ensures that both databases are synchronized and capable of serving data if one fails.

2. Why Database Replication Fits the Requirement

Standby Data Center: Database replication provides a fully equivalent copy of the data in the secondary data center.

High Availability and Disaster Recovery: If the primary database is unavailable, the standby database can immediately take over, ensuring business continuity.

3. Why Not Other Options?

Geodatabase Replication:

While it is designed for replicating geodatabase content, it is typically used for GIS-specific workflows, such as syncing field edits. It does not ensure equivalence for non-spatial components of the database.

It is not ideal for large-scale, organization-wide replication needs.

Disconnected Synchronization:

This is used in offline editing workflows where devices sync their edits with a central database at a later time. It is not suitable for maintaining an equivalent standby database.

4. Types of Database Replication

Asynchronous Replication: Updates are replicated at scheduled intervals, offering flexibility but with slight delays.

Synchronous Replication: Updates occur in real-time, ensuring both databases are always identical.

Steps to Implement Database Replication:

Configure the primary and standby databases in the organization’s DBMS (e.g., SQL Server, PostgreSQL, Oracle).

Use the DBMS's built-in replication tools (e.g., SQL Server's Always On, PostgreSQL’s Streaming Replication).

Set up monitoring to ensure the replication process is functioning correctly.

References from Esri Documentation and Learning Resources:

Database Replication in DBMS

Disaster Recovery with Database Replication

Conclusion:

Database replicationis the recommended technology to establish an equivalent data presence in a standby data center, ensuring high availability and disaster recovery.

Scenario Overview:

The GIS data administrator is unable to upgrade the geodatabase because editors have active sessions and are working on editing workflows.

Active connections lock the geodatabase, preventing upgrades or maintenance operations.

Solution:

Editors mustdisconnect from their active sessionto allow the geodatabase upgrade to proceed. Disconnecting ensures no locks are held on the database objects.

The administrator can also useGeodatabase Administration toolsto manually disconnect all users if necessary.(ArcGIS Documentation: Disconnect Users)

Alternative Options:

Option A:Reconcile and post edit versions is unnecessary as the issue is related to active database sessions, not data versioning.

Option C:Saving edits and stopping editing sessions alone does not close the database connection, leaving locks in place.

Therefore, editors mustdisconnect from their active sessionfor the geodatabase upgrade to proceed.

To ensure that the parent geodatabase can be fully compressed, even with unacknowledged data change messages, the replication must be configured toreplicate 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:

OpenArcGIS Proand connect to the parent geodatabase.

Use theCreate Replicatool and selectOne-Way Replication.

Choose the option to replicatebase tables onlyduring the configuration process.

Define the datasets to replicate and complete the replication setup.

References from Esri Documentation and Learning Resources:

One-Way Replication Overview

Compressing Enterprise Geodatabases

Conclusion:

Configuring replication toreplicate only the base tablesensures that the parent geodatabase can be fully compressed, even with unacknowledged data change messages.

In traditional versioning within an enterprise geodatabase, theDefaultversion often represents the published state of the database. Setting the Default version toprotectedensures that while all users can view it, only the geodatabase administrator or the version owner can edit it directly or post changes to it.

ArcGIS Pro

In the scenario provided, the editor follows these steps:

Default Version Set to Protected:This restricts editing and posting privileges to the geodatabase administrator or the version owner.

Creation of a Child Version from Default:The editor creates a new version branching from Default.

Child Version Set to Protected:This means only the editor (as the owner) or the geodatabase administrator can edit this child version.

Edits Saved to the Child Version:The editor makes and saves changes within this child version.

Attempt to Reconcile and Post to Default:The editor successfully reconciles but encounters an error during the post operation.

The error during the post operation arises because, with the Default version set to protected, the editor lacks the necessary permissions to post changes directly to it. Only the geodatabase administrator or the owner of the Default version possesses the authority to perform this action.

ArcGIS Pro

Analysis of Options:

Option A:Changing the access level of the child version from protected to public does not grant the editor the required permissions to post to the protected Default version.

Option B:Requesting the owner of the Default version (typically the geodatabase administrator) to perform the reconcile and post is appropriate. This individual has the necessary permissions to post changes to the protected Default version.

Option C:Creating a one-way replica and synchronizing is an unnecessary and complex approach for this situation.

Therefore, the editor shouldask the owner of Default to perform the reconcile and postto ensure the changes are integrated into the Default version.

 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.

Scenario Overview:

The GIS administrator needs to create asynchronized copyof a branch versioned dataset.

Both copies must allowediting.

Why Geodatabase Replication?

Geodatabase replicationsupports the creation of synchronized copies of datasets while allowing edits in both the parent and child geodatabases.

Forbranch versioned data, replication ensures that edits made in either the parent or child geodatabase can be synchronized using a two-way replica.(ArcGIS Documentation: Geodatabase Replication)

Key Features of Geodatabase Replication for This Scenario:

Two-way replicationenables editing on both sides while synchronizing changes.

Supportsbranch versioning, ensuring versioned workflows remain intact.

Maintains schema consistency across both geodatabases.

Alternative Options:

Option A: Distributed Collaboration

Collaboration is suitable for sharing data across ArcGIS Enterprise environments but does not support active synchronization for editing on both sides.

Option C: DBMS Replication

DBMS-level replication handles raw data replication but does not preserve geodatabase-specific functionalities, such as branch versioning.

Thus,geodatabase replicationis the correct method for synchronizing and editing branch versioned datasets in both geodatabases.