EGMP2201 Esri Enterprise Geodata Management Professional 2201 Free Practice Exam Questions (2025 Updated)

Amosaic datasetis the most appropriate storage mechanism for visualizing and managing a centralized folder of imagery, especially when the imagery is to be accessed across an organization through an enterprise geodatabase.

1. What is a Mosaic Dataset?

A mosaic dataset is a geodatabase structure optimized for managing and serving large collections of raster data, such as satellite imagery or aerial photographs.

It provides dynamic mosaicking, rendering, and query capabilities.

2. Why Use a Mosaic Dataset?

Centralized Management: A mosaic dataset can reference multiple images stored in a folder without duplicating the data, maintaining a centralized source of imagery.

Scalability: It supports large collections of raster data and allows for efficient querying, rendering, and analysis.

On-the-Fly Processing: Provides options to apply image processing and rendering rules without modifying the source data.

Enterprise Access: Mosaic datasets stored in an enterprise geodatabase can be published as image services for access across the organization.

3. Why Not Other Options?

Raster Dataset:

This option is for storing a single image or raster layer in the geodatabase, not suitable for managing multiple images.

Raster Catalog:

Raster catalogs organize rasters but lack dynamic mosaicking, rendering, and query optimization capabilities. They are less efficient and are now considered outdated in favor of mosaic datasets.

Steps to Create and Use a Mosaic Dataset:

OpenArcGIS Proand connect to the enterprise geodatabase.

Create a new mosaic dataset using theCreate Mosaic Datasettool.

Add rasters to the mosaic dataset using theAdd Rasters to Mosaic Datasettool, pointing to the centralized folder of imagery.

Publish the mosaic dataset as an image service in ArcGIS Enterprise for organization-wide access.

References from Esri Documentation and Learning Resources:

Mosaic Datasets Overview

Managing Imagery with Mosaic Datasets

Conclusion:

Amosaic datasetprovides the best functionality for managing, visualizing, and sharing multiple images from a centralized folder within an enterprise geodatabase.

Scenario Overview:

The GIS data administrator is experiencinglagwhen changing the parameter value of adefinition query.

Definition queries dynamically filter data based on attribute values. Slow performance often indicates inefficient attribute searches.

Solution: Add Attribute Index

Anattribute indexallows the database to quickly locate rows based on values in the indexed column, significantly improving query performance.

When definition queries rely on non-indexed fields, the database must scan the entire dataset to filter records, leading to noticeable delays.

By creating an attribute index on the fields used in the definition query, the database can optimize filtering, reducing lag.(ArcGIS Documentation: Attribute Indexes)

Steps to Add Attribute Index:

In ArcGIS Pro, open theAttribute Indexestool.

Select thefeature class or tableused in the definition query.

Specify the field(s) that the definition query is based on.

ClickRunto create the index.

Alternative Options:

Option B: Add Spatial Index

Spatial indexes optimize spatial queries (e.g., finding features within an area). This does not address attribute-based definition query lag.

Option C: Recalculate Extent

Recalculating the extent corrects boundary discrepancies in spatial datasets but has no impact on attribute query performance.

Thus, adding anattribute indexis the correct action to resolve lag in definition queries.

Comprehensive Detailed Step-by-Step Explanation with All Enterprise Geodata References:

AnEnterprise geodatabaseis the most appropriate choice for this scenario due to the following reasons:

1. Requirement to Store Data Locally on Organization's Servers

AnEnterprise geodatabaseallows organizations to store GIS data locally in their own database management systems (DBMS), such as PostgreSQL, SQL Server, or Oracle.

This meets the requirement of maintaining control over data storage and ensuring the data resides within the organization's infrastructure.

2. Editing GIS Data via Web Services

Enterprise geodatabases seamlessly integrate with ArcGIS Server, enabling data editing via web services.

Organizations can publish feature services to allow authorized users to edit GIS data in real-time or in a disconnected environment (via sync).

These services support advanced editing workflows, including versioning and conflict resolution.

3. Indexing Specific Business Fields for Performance

Enterprise geodatabases offer robust indexing options to enhance query and editing performance.

You can:

Create attribute indexeson fields that are frequently queried.

Usespatial indexesto improve the speed of spatial queries.

This level of customization helps meet the performance demands of specific business workflows.

4. Advantages Over Other Storage Options

File Geodatabase:

While it is suitable for smaller datasets and local storage, it does not support multi-user editing, integration with web services, or advanced indexing for business fields.

Hosted Relational Database:

This option is part of ArcGIS Online or ArcGIS Enterprise managed services and stores data in the cloud, which contradicts the requirement for local storage.

It also does not provide the same level of control or indexing capabilities as an enterprise geodatabase.

References from Esri Documentation and Learning Resources:

Enterprise Geodatabases—ArcGIS Pro Documentation

Configuring Indexes in Geodatabases

Publishing Feature Services for Editing

Conclusion:

AnEnterprise geodatabasenot only meets all the stated requirements (local storage, web service editing, and indexed fields for performance) but also provides additional scalability, security, and multi-user editing capabilities.

Scenario Overview:

The organization hasArcGIS Enterpriseand requires versioned editing.

The project mandates tracking which user deleted a feature from thedefault version.

Why Branch Versioned Editing?

Branch versioningsupports versioned editing workflows and integrates seamlessly witheditor tracking, including operations like tracking who deleted a feature.

It is ideal for web-based workflows inArcGIS Enterpriseand allows for direct interaction with feature services.

The default version remains accessible for analysis while enabling the organization to track user edits, including feature deletions.(ArcGIS Documentation: Branch Versioning)

Alternative Options:

Option B: Traditional versioned editingsupports versioned workflows but does not inherently track who deletes features unless additional workflows are implemented (e.g., custom fields or triggers).

Option C: Nonversioned editingdoes not support versioning workflows or user tracking.

Thus,branch versioned editingis the best workflow to support versioned editing while tracking deleted features.

 Understanding the Scenario:

The request involves creating a view that dynamically combines data from aversioned feature classand anonspatial table.

The data needs to be from achild versionand updated dynamically.

 Key Considerations:

Versioned Feature Class:Standard feature classes in versioned geodatabases store edits in delta tables (adds and deletes). Accessing data from a specific version requires using theversioned view, which includes these edits.

Dynamic Updates:Views created on the versioned view ensure that the data reflects the most current version edits.

 Steps to Create the View:

Identify the versioned view for the feature class (created automatically during versioning).

Create a SQL query to join the versioned view and the nonspatial table on the appropriate key(s).

Save the SQL query as a database view.

 References:

Esri Documentation: Versioned Views.

Creating Views with Versioned Data: Guidelines for joining versioned views with other tables in SQL.

 Why the Correct Answer is C:Using the versioned view ensures that data reflects edits from the specified child version. Joining this view with the nonspatial table meets the requirement for dynamic updates. Options A and B would not provide data from the versioned child version dynamically.

Scenario Overview:

The GIS data administrator needs to prepare data for offline workflows.

Offline workflows allow users to take data offline for use in disconnected environments, typically for field operations.

Why Enable Sync?

Sync must be enabled on the feature service to allow offline workflows. This capability ensures that edits made offline can later be synchronized with the enterprise geodatabase.

When sync is enabled, data can be downloaded for offline use in supported applications like ArcGIS Field Maps, and changes can be synchronized back to the geodatabase.

(ArcGIS Documentation: Sync)

Alternative Options:

Option A: Enable Archiving

Archiving tracks historical edits but is not required for offline workflows.

Option B: Add Global IDs

While Global IDs are required for enabling sync, adding them alone does not fully configure the dataset for offline workflows.

Thus, to prepare data for offline workflows, the administrator must enable sync on the dataset.

Scenario Overview:

The analyst creates a join between a large dataset and a nonspatial table to calculate an attribute field.

An error occurs, indicating that the join field is not indexed.

Cause of the Problem:

Joins between datasets rely on indexed fields to optimize the join operation. Without an index, the system must perform a full table scan, which can lead to errors or slow performance when working with large datasets.

Solution:

Running theAdd Attribute Indextool creates an index on the join field, enabling efficient joining operations.(ArcGIS Documentation: Attribute Indexes)

Steps to Resolve:

Open theAdd Attribute Indextool in ArcGIS Pro.

Select the nonspatial table as the input dataset.

Choose the field used in the join operation as the field to index.

Run the tool to create the attribute index.

Alternative Options:

Option A:Add Spatial Index is irrelevant for nonspatial data.

Option C:Rebuild Indexes reorganizes existing indexes but cannot create new ones, which is required here.

Thus, the analyst should run theAdd Attribute Indextool to resolve the error.

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.

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.

Scenario Overview:

The administrator needs to store attributes for valves (e.g., color, model, and size).

Pick listsmust display only valid combinations of these attributes.

Why Contingent Values?

Contingent valuesallow geodatabases to enforce specific, dependent attribute combinations.

For example, if certain sizes are only valid for specific models and colors, contingent values ensure only permitted combinations are displayed in pick lists.(ArcGIS Documentation: Contingent Values)

How Contingent Values Work:

Attribute domains are defined for individual fields (e.g., color, model, size).

Contingent value rules are configured to establish relationships between the fields, restricting invalid combinations.

When editing data, pick lists dynamically adjust based on contingent value rules, showing only valid options.

Alternative Options:

Option A: Domains

Attribute domains enforce constraints on individual fields but cannot define dependencies between fields.

Option B: Subtypes with domains

Subtypes group features into categories with distinct domain rules but do not support interdependent attribute combinations.

Thus,contingent valuesare the appropriate geodatabase capability to configure pick lists for valid attribute combinations.

 Understanding the Scenario:

The feature class cannot havearchiving enabled.

Archiving tracks changes over time and requires specific configurations in versioned datasets.

 Key Constraints for Enabling Archiving:

Archiving can only be enabled for feature classes registered asversioned without moving edits to base.

Versioned with move edits to base:This configuration directly edits the base table, bypassing the delta tables (adds and deletes) used in traditional versioning. Since archiving relies on delta tables to track changes, this configuration is incompatible with archiving.

Branch Versioned with Editor Tracking:Branch versioning supports editor tracking and web-based workflows but does not currently support archiving.

 Steps to Correct the Configuration:

Re-register the feature class asversioned without moving edits to base.

Enable archiving after re-registration.

 References:

Esri Documentation: Archiving Requirements.

Versioning and Archiving Compatibility: Best practices for configuring datasets for archiving.

 Why the Correct Answer is B:When a feature class is registered asversioned with move edits to base, it does not maintain delta tables, making it incompatible with archiving.

When a database view performs poorly in a map, registering it with the geodatabase can significantly improve performance.

1. Why Register with the Geodatabase?

Registering a database view with the geodatabase integrates it into the geodatabase system, enabling:

Proper use of spatial indexes.

Optimization of queries by the geodatabase.

Improved handling of large datasets by leveraging geodatabase-specific performance enhancements.

2. Why Not Other Options?

Export to Shapefile:

Shapefiles are a flat file format that lacks indexing and performance optimization. Using shapefiles is not suitable for complex queries or large datasets.

Join to Another Feature Class:

Joining data does not address the root cause of performance issues in the view and may further degrade performance if the join adds complexity.

Steps to Register a Database View with the Geodatabase:

OpenArcGIS Proand connect to the database.

Use theRegister with Geodatabasetool, specifying the database view.

Configure the registration to include spatial indexes if the view contains spatial data.

Save and test the performance of the registered view in a map.

Additional Notes:

If the database view includes complex SQL logic, simplify the query if possible to further improve performance.

Ensure that the underlying tables in the view are properly indexed.

References from Esri Documentation and Learning Resources:

Registering Views with a Geodatabase

Improving Map Performance with Views

Conclusion:

Registering the database view with the geodatabase enables spatial indexing and geodatabase optimization, addressing performance issues and ensuring efficient rendering and querying.

To move an enterprise geodatabase to a new server while keeping it intact, theRDBMS export/importprocess is the appropriate method.

1. Why Use RDBMS Export/Import?

Enterprise geodatabases are tightly integrated with the underlying RDBMS (e.g., SQL Server, PostgreSQL, Oracle). Exporting and importing the entire database ensures that:

All geodatabase configurations (e.g., tables, indexes, metadata) are preserved.

No data integrity is lost during the migration process.

This method maintains the geodatabase’s structure and relationships.

2. Why Not Other Options?

Export to File Geodatabase:

While exporting to a file geodatabase allows for data transfer, it does not preserve the enterprise geodatabase structure, including user permissions, versioning, and replication configurations.

Two-Way Replication:

Replication is designed for synchronizing data changes between geodatabases, not for moving an entire geodatabase to a new server. It may also leave some administrative configurations behind.

3. Steps for RDBMS Export/Import

Export the Database:

Use the RDBMS tools (e.g., pg_dump for PostgreSQL, SQL Server Management Studio) to create a full backup of the geodatabase.

Ensure all related schemas, indexes, and metadata are included.

Import to the New Server:

Set up the RDBMS on the new server and configure it for enterprise geodatabases.

Import the backup file to restore the geodatabase on the new server.

Post-Migration Steps:

Reconfigure connections in ArcGIS Pro or ArcGIS Server to point to the new geodatabase.

Test to ensure all functionality works as expected.

References from Esri Documentation and Learning Resources:

Backing Up and Restoring an Enterprise Geodatabase

RDBMS Tools for Backup and Restore

Conclusion:

TheRDBMS export/importprocess ensures a complete migration of the enterprise geodatabase to a new server while preserving all configurations and data integrity.

 Understanding the Scenario:

A two-way replica exists between a parent geodatabase and a child geodatabase to share edits.

A schema change (adding the legal_area field) occurs in the parent geodatabase but is not applied to the child geodatabase.

The parent synchronizes the replica, attempting to push changes that include edits to the new field.

 Replica Synchronization Behavior:

Schema Changes and Replication:Replication does not automatically synchronize schema changes such as adding new fields. Schema updates need to be manually applied to both parent and child geodatabases before synchronization.

Conflict during Synchronization:If schema changes (like adding a field) are made in the parent geodatabase but not replicated in the child geodatabase, synchronization attempts to apply edits referencing the missing field. This results in an error because the child geodatabase does not recognize the new field.

 References:

Esri Documentation: Schema Changes and Replication.

Error Handling in Synchronization: Guidance on managing synchronization issues due to schema mismatches.

 Why the Correct Answer is A:During synchronization, an error occurs because the legal_area field does not exist in the child geodatabase. Synchronization cannot succeed unless both replicas have compatible schemas.

 Understanding the Scenario:

The regional office lacks access toArcGIS Enterprise,ArcGIS Online accounts, or anenterprise geodatabase.

Data must be distributed in a format that the regional office can use independently of enterprise-level systems.

 Data Distribution Solutions Overview:

Geodatabase Replication:

Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.

Replicas can be set up in adisconnected mode, enabling regional offices to work with the data offline.

Distributed Collaboration:Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.

Partnered Collaborations:Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.

 Steps to Implement Geodatabase Replication:

Create aone-way replicaof the data in a format compatible with the regional office’s systems (e.g., file geodatabase).

Transfer the replica to the regional office via portable media or secure file sharing.

Set up periodic updates if the data needs to be refreshed.

 References:

Esri Documentation: Geodatabase Replication.

Disconnected Workflows: Best practices for sharing data in offline environments.

 Why the Correct Answer is A:Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.

To minimize the number of rows created in the database while performing versioning workflows (loading, quality checking, reconciling, and posting),Traditional versioning without the archiving optionis the best choice.

1. Traditional Versioning Without Archiving

This method stores edits indelta tables(Adds and Deletes) rather than directly in the base table.

Without the archiving option, the system does not create additional rows to track historical changes, which helps reduce the number of rows.

2. Why It’s Ideal for This Workflow

Load Data: Data is directly inserted into the delta tables, keeping base tables untouched.

Quality Verification: Edits can be reviewed and adjusted without additional overhead.

Reconcile and Post: Only the changes made during the session are pushed to thedefault version, and unnecessary rows are avoided.

3. Why Not Other Options?

Traditional Versioning with Archiving Option:

Archiving tracks historical changes, creating additional rows for each edit in the archive tables. This increases storage and processing overhead.

Branch Versioning:

Branch versioning stores all changes in a single table and is designed for web services workflows. It may not minimize row creation compared to traditional versioning.

Steps for the Workflow:

EnableTraditional Versioningfor the target dataset without enabling archiving.

Load the large dataset into a new version created for this purpose.

Verify the data quality by querying and editing the version.

Reconcile the version with the default version, resolve conflicts, and post changes to default.

References from Esri Documentation and Learning Resources:

Understanding Traditional Versioning

Archiving in Enterprise Geodatabases

Branch Versioning vs. Traditional Versioning

Conclusion:

UsingTraditional versioning without the archiving optionensures the creation of the fewest number of rows while maintaining data integrity and supporting the described workflow.

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.

Geometric networks are not supported inbranch versioningor workflows where edits are moved directly to the base table. Therefore,traditional versioning without move edits to baseis the only viable option for implementing an offline mobile editing workflow with feature classes that participate in a geometric network.

1. Why Use Traditional Versioning Without Move Edits to Base?

Support for Geometric Networks:

Geometric networks are only compatible with traditional versioning workflows. Branch versioning does not support geometric networks, and using the "move edits to base" option bypasses the versioning framework required for geometric networks.

Offline Mobile Editing:

Traditional versioning supports creating replicas that allow offline editing and subsequent synchronization. This workflow is critical for mobile editing scenarios.

2. Why Not Other Options?

Branch Versioning:

Branch versioning is designed for feature services and web-based workflows but does not support geometric networks.

Traditional Versioning with Move Edits to Base:

This option moves edits directly to the base table, which is incompatible with geometric networks and versioning workflows that require offline editing.

Steps to Configure Traditional Versioning Without Move Edits to Base:

Register the feature classes and datasets (including geometric networks) with traditional versioning in ArcGIS Pro.

Create a replica to support offline editing workflows.

Synchronize edits back to the geodatabase after offline editing, reconcile, and post to integrate changes into the Default version.

References from Esri Documentation and Learning Resources:

Traditional Versioning Overview

Geometric Networks and Versioning

Conclusion:

Usingtraditional versioning without move edits to baseis the only method that supports offline mobile editing workflows while maintaining compatibility with geometric networks.