EGMP2201 Enterprise Geodata Management Professional 2201 Questions and Answers

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.

The issue arises becauseOne-way, parent to child replicationis being used. In this type of replication, changes from the parent replica (production server) overwrite the data in the child replica (consultant's server) during synchronization, regardless of edits made in the child replica.

1. One-way Replication Workflow

Parent to Child: Changes are pushed from the parent to the child. The child can make local edits, but these edits are not sent back to the parent, and they can be overwritten when synchronizing.

In this case, the consultant's edits are overwritten because the synchronization is unidirectional from the production server to the consultant's server.

2. Issue with Conflicting Edits

SinceOne-way, parent to childreplication does not support bi-directional synchronization or conflict detection, local changes in the child replica are not preserved if the parent replica pushes updates that conflict with them.

3. Why Not Other Options?

Checkout/check-in:

This replication type allows edits to be made in the checkout replica and reconciled back to the parent during check-in. This ensures that conflicting edits are addressed.

One-way, child to parent:

In this replication, edits flow from the child replica to the parent replica. The issue described does not align with this setup.

References from Esri Documentation and Learning Resources:

Geodatabase Replication—ArcGIS Pro Documentation

Understanding One-Way Replication

Conclusion:

The issue occurs becauseOne-way, parent to child replicationis being used, where edits made on the child replica are overwritten by updates from the parent replica during synchronization.

 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 feature class is versioned and participates in a geodatabase topology.

The goal is to reload data while maintaining versioning and topology integrity.

 Key Considerations for Reloading Data:

Truncate Table:TheTruncate Tabletool efficiently deletes all rows in the feature class without logging individual row deletions in the geodatabase. It is the preferred method for clearing data while minimizing impact on performance.

Append Tool:After truncating the table, theAppendtool can load new data into the feature class, ensuring that the topology and versioning structure remain intact.

Avoiding Delete Rows:Deleting rows manually logs each deletion in delta tables, leading to a potential performance bottleneck and unnecessary transaction logging, especially for versioned datasets.

Geodatabase Topology Consideration:Topology rules will need to be validated after reloading the data to ensure spatial integrity.

 Steps to Reload Data:

Use theTruncate Tabletool to remove existing records.

Use theAppendtool to load the new data into the feature class.

Validate the topology in the geodatabase to check for any errors after the reload.

 References:

Esri Documentation: Truncate Table.

Loading Data into Versioned Feature Classes: Best practices for versioned and topology-aware datasets.

 Why the Correct Answer is A:Running theTruncate Tabletool ensures efficient data clearing, and using theAppendtool maintains the geodatabase's versioning and topology structure. Options B and C involve unnecessary row-level deletions, which are inefficient and could disrupt the versioned workflow.

The issue arises becausetraditional versioned datastores edits indelta 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 thereconcile and postprocess to update values. This ensures that changes are correctly applied across delta tables and the base table.

Alternatively, use tools likeArcGIS ProorArcPyto programmatically update data instead of executing direct SQL commands.

References from Esri Documentation and Learning Resources:

Traditional Versioning Overview

Delta Tables and Traditional Versioning

Conclusion:

The issue occurs because the data istraditional 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 facilitate collaboration between two teams of GIS analysts located in different offices, each requiring a copy of the data in their own enterprise geodatabase with the ability to edit the same feature classes and synchronize changes nightly, geodatabase replication is the appropriate solution.

Understanding Geodatabase Replication:

Geodatabase replication is a data distribution method in ArcGIS that allows you to create copies of data across two or more geodatabases. This enables multiple users to work with the same datasets in different locations, with the ability to synchronize changes to ensure consistency.

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Types of Geodatabase Replication:

There are three types of geodatabase replication:

One-Way Replication: Changes are sent in a single direction—from the parent to the child replica.

Two-Way Replication: Changes are synchronized in both directions between the parent and child replicas. This is suitable when multiple editors need to update the same datasets in different locations.

Checkout/Check-in Replication: Data is checked out to a child replica for editing and then checked back in to the parent replica.

In this scenario, two-way replication is ideal, as it allows both teams to edit the same feature classes and synchronize changes nightly, ensuring that both geodatabases remain consistent.

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Alternative Options:

Database Replication: This refers to replicating entire databases at the DBMS level. While it can synchronize data, it doesn't account for the geodatabase-specific behaviors, rules, and relationships managed by ArcGIS. Therefore, it may not be suitable for scenarios requiring synchronization of geodatabase-specific functionalities.

Distributed Collaboration: This is a framework in ArcGIS Enterprise that allows sharing of content, such as maps, layers, and apps, across multiple ArcGIS Enterprise deployments or between ArcGIS Enterpriseand ArcGIS Online. However, it doesn't provide the fine-grained control over data editing and synchronization required in this scenario.

GEODATABASE RESOURCES

Therefore, to meet the requirements of both teams being able to edit the same feature classes in their respective enterprise geodatabases and synchronize changes nightly, geodatabase replication is the most appropriate solution.

 Understanding the Scenario:The GIS administrator wants to simultaneously grant access to multiple users for a branch-versioned feature class in an enterprise geodatabase. Managing permissions for individual users can be inefficient, especially for larger teams, making roles a better solution.

 Why Grant Permissions to a Role:

Role-Based Access Control (RBAC):In enterprise geodatabases, assigning permissions to a role allows administrators to define access levels once and apply them to multiple users who are members of that role. This simplifies management and ensures consistent permission levels across users.

Branch Versioning Considerations:In branch versioned datasets, role-based permissions ensure that all users working with the feature class can access, edit, or view data as needed without individual customization.

 Steps to Assign Permissions to a Role:

Create a role in the database or use an existing one.

Assign permissions for the branch versioned feature class to the role (e.g., read, edit, or administrative permissions).

Add users to the role.

All users in the role inherit the permissions automatically.

 References:

Esri Documentation: Best practices for managing permissions in enterprise geodatabases: Managing Users and Roles.

Branch Versioning Overview: Information on the unique requirements for branch versioned data: Branch Versioning.

 Why the Correct Answer is A:Using roles allows the GIS administrator to efficiently grant and manage access for multiple users at once. Options like lists or groups are not applicable in the context of enterprise geodatabases, as roles are the standard mechanism for assigning permissions.

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 aversioned viewto reflect changes in the Default version.

1. What Is a Versioned View?

Aversioned viewis 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 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.

References from Esri Documentation and Learning Resources:

Versioned Views in Enterprise Geodatabases

Publishing Data from Views

Conclusion:

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

To track feature class changes while keeping thereconcile, post, and compress processesseparate from thereplica synchronization process, the best approach is tocreate a one-way replica using the archive option on Default.

1. Why Use a One-Way Replica on Default?

One-Way Replication:

Sends data changes from the parent (Default version) to the child geodatabase, ensuring that synchronization does not interfere with the parent geodatabase’s versioning operations.

Archive Option:

Archiving captures all changes to the feature class, providing a history of edits without requiring versioning in the replica.

2. Why Choose the Default Version?

Using the Default version as the parent ensures that all reconciled and posted changes are synchronized to the replica, making the synchronization independent of ongoing versioning workflows in the geodatabase.

3. Why Not Other Options?

Create a One-Way Replica Using the Archive Option on a Child Version of Default:

Replicating from a child version complicates workflows because the child version must be reconciled and posted to Default before updates are reflected in the replica.

Create a Two-Way Replica Using the Archive Option on Default:

Two-way replication synchronizes changes in both directions. This would integrate changes from the child geodatabase into Default, interfering with the reconciliation and posting processes.

Steps to Create the Replica:

Ensure archiving is enabled for the feature classes in the Default version.

Use theCreate Replicatool in ArcGIS Pro and selectOne-Way Replication.

Configure the replica to include the archive option.

Synchronize the replica as needed without affecting versioning processes in the parent geodatabase.

References from Esri Documentation and Learning Resources:

One-Way Replication Overview

Geodatabase Archiving

Conclusion:

To track changes while separating reconcile, post, and compress processes from synchronization, the GIS analyst shouldcreate a one-way replica using the archive option on Default.

 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.

When users cannot edit a traditionally versioned feature dataset after a new feature class is added, the feature dataset must bere-registered as versioned.

1. Why Re-Register as Versioned?

Adding a feature class to a versioned feature dataset requires re-registering the entire feature dataset for versioning.

This step ensures that the new feature class is included in the versioning system and can participate in versioned workflows.

2. Why Other Steps Didn't Resolve the Issue?

Checked Permissions: Correct permissions do not address the need to re-register after adding a feature class.

Checked Connection File: Ensuring the connection file uses traditional versioning does not resolve missing registration.

Rebuilt Indexes and Statistics: While this improves performance, it does not affect versioning.

3. Why Not Other Options?

Connect as Data Owner and Edit Data:

Even as the data owner, edits would not be possible until the feature dataset is re-registered.

Unregister the Feature Dataset as Versioned:

Unregistering would delete the versioning information, potentially causing data loss in the delta tables.

Steps to Re-Register the Feature Dataset as Versioned:

OpenArcGIS Proand connect as the data owner.

Right-click the feature dataset and selectManage > Register As Versioned.

Choose the option toPreserve edits to base tables(if required).

Save and test edits on the feature dataset.

References from Esri Documentation and Learning Resources:

Registering Data as Versioned

Managing Versioned Feature Datasets

Conclusion:

The administrator shouldre-register the feature dataset as versionedto include the newly added feature class and resolve editing issues in the traditionally versioned environment.

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.

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.

 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.

To create database connection files that point to a specific edit version for users, theGeodatabase Connection Propertiesoption should be used.

1. What are Geodatabase Connection Properties?

This option allows you to set specific connection details, such as the target version (edit version) within a traditionally versioned geodatabase.

It ensures that each user connects directly to their designated version, isolating edits and preventing conflicts in multi-user environments.

2. Why Use Geodatabase Connection Properties?

Provides control over which version of the geodatabase the user accesses.

Ensures security and consistency by directing users to their designated edit versions rather than the default version.

Allows administrators to pre-configure connection files for distribution to users.

3. Why Not Other Options?

Connection Properties:

Refers to general connection details like username, password, and server but does not allow specifying a particular version.

Database Properties:

Refers to database-level settings but does not configure specific user-level connection details, such as the target version.

Steps to Use Geodatabase Connection Properties:

InArcGIS Pro, go to theCatalog Pane.

Create a new database connection by selectingAdd Database.

In the connection properties dialog, specify:

The user’s credentials.

Thespecific versionthe user will edit under the Geodatabase Connection Properties section.

Save the connection file and distribute it to the user.

References from Esri Documentation and Learning Resources:

Database Connections in ArcGIS Pro

Versioned Database Connections

Conclusion:

UsingGeodatabase Connection Propertiesensures that each database connection file is pre-configured to point to the appropriate edit version for the user, enhancing security and workflow efficiency.

When experiencing slow performance on a query of an indexed attribute in a large feature class within an enterprise geodatabase, and a SQL trace reveals that the attribute index is not being utilized despite the attribute values having a high degree of uniqueness and the delta tables containing few rows, the appropriate action is to rebuild the indexes.

Understanding Indexes in Enterprise Geodatabases:

Indexes are critical for enhancing query performance in databases. They allow the database management system (DBMS) to locate and retrieve data efficiently. Over time, as data is inserted, updated, or deleted, indexes can become fragmented or outdated, leading to suboptimal query performance.

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Rebuilding Indexes:

The Rebuild Indexes tool in ArcGIS Pro is designed to rebuild existing attribute or spatial indexes in enterprise geodatabases. This process reorganizes the index structure, ensuring that the DBMS can effectively utilize the indexes during query execution.

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Steps to Rebuild Indexes:

Access the Rebuild Indexes Tool:

In ArcGIS Pro, navigate to the Analysis tab and click on Tools.

In the Geoprocessing pane, search for and select the Rebuild Indexes tool.

Configure the Tool Parameters:

Input Database Connection: Specify the connection to your enterprise geodatabase.

Include System Tables: Decide whether to include system tables in the rebuild process. Including system tables can help maintain the overall health of the geodatabase but may increase processing time.

Execute the Tool:

Click Run to initiate the index rebuilding process. Monitor the progress and ensure the process completes without errors.

Alternative Options:

Compress Geodatabase: The Compress operation reduces the size of the geodatabase by removing redundant states and versions. While it can improve performance, it doesn't directly address index fragmentation.

Analyze Datasets: The Analyze Datasets tool updates database statistics, which helps the DBMS optimize query execution plans. However, if indexes are fragmented, analyzing datasets alone may not resolve performance issues.

Given the symptoms described—specifically, the attribute index not being used in queries—the most effective solution is to rebuild the indexes to ensure they are properly structured and utilized by the DBMS during query execution.