EGMP2201 Enterprise Geodata Management Professional 2201 Questions and Answers

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.

Scenario Overview:

Editors are spending multiple hours resolving conflicts during reconciliation.

Key points:

Conflicts are detected by attribute (not by object).

Traditional versioning is used.

Weekly compression and weekly reconcile/post workflows are in place.

Why Reconcile and Post Daily?

Conflicts occur when multiple editors make overlapping edits. The longer versions remain unreconciled, the more conflicts accumulate, leading to time-consuming resolution.

Daily reconciliation and posting minimizes the number of changes between the parent and child versions, reducing the likelihood and volume of conflicts.

(ArcGIS Documentation: Reconcile and Post)

Key Benefits of Daily Reconciliation:

Fewer Changes to Compare: With fewer edits accumulated in each version, conflict detection is faster.

Less Complex Conflicts: Simplifies resolution since changes are smaller and more recent.

Improved Editor Productivity: Editors spend less time resolving conflicts, freeing up time for other tasks.

Alternative Options:

Option A: Detect conflicts by object

While this may reduce conflict granularity, it can lead to overwriting valid edits at the object level, which may not be acceptable in collaborative workflows.

Option B: Compress the geodatabase daily

Compression reduces the state tree and improves performance but does not directly reduce the number of conflicts during reconciliation.

Therefore, implementing daily reconciliation and posting is the most effective way to reduce conflicts and improve editing efficiency.

 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.

 References:

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.

Scenario Overview:

The user requires a standard database view of theroads feature classthat resides in a different geodatabase from the primary enterprise geodatabase.

Theroads feature classis frequently edited, and the user needs the view to recognize updates immediately.

Replica Types in ArcGIS:

One-way replicationwith thefull modelis suitable for scenarios where the parent geodatabase sends updates to the child geodatabase, and all schema and data changes are synchronized.

In thefull model, the child database retains versioning and acknowledges updates as they occur in the parent database, enabling the user to see immediate updates in their standard view.(ArcGIS Documentation: Geodatabase Replication Types)

Key Features of the Full Model:

Synchronizesboth schema and datachanges.

Suitable for feature classes withfrequent edits.

Ensures that the standard database view reflects updates immediately upon synchronization.

Alternative Options:

Option A:The simple model in one-way replication supports data-only synchronization and does not update schema changes, making it insufficient for dynamic environments.

Option C:Two-way replication is unnecessary since the edits occur only in the parent geodatabase.

Thus,one-way replication with the full modelis the appropriate choice to meet the requirement.

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:

Records are being appended to a child version of a feature class registered as versioned.

Reconcile and post are taking longer than expected, suggesting complications during version synchronization.

 Key Considerations for Reconciliation Performance:

Conflicting Edits (Option A):Reconciliation time increases if there are many conflicts to resolve. However, the question does not mention concurrent edits in Default or other child versions, making conflicts less likely to be the main issue.

Updates in Default (Option B):If Default has been updated since the child version was created, the reconcile process must account for changes in Default. This can significantly increase processing time as it integrates the child version changes with the modifications in Default.

Compress Operation (Option C):The Compress operation removes redundant states in the geodatabase but does not directly affect reconciliation speed. The question does not indicate that the child version is excluded from compression or that compression is related to the delay.

 Steps to Improve Reconciliation Performance:

Minimize edits to Default during the child version's workflow.

Reconcile frequently to avoid large differences between Default and the child version.

Ensure that Compress operations are run regularly to optimize geodatabase state management.

 References:

Esri Documentation: Reconcile and Post.

Versioning Best Practices: Guidance on managing Default and child versions to minimize reconcile conflicts.

 Why the Correct Answer is B:The delay occurs because Default was updated after the child version was created. The reconciliation process must merge changes from Default with those in the child version, increasing processing time. Conflicts (A) are not mentioned, and compress operations (C) do not directly cause reconciliation delays.

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.

 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.

 Understanding the Scenario:

The enterprise geodatabase receives regular updates through a "push" SQL process from a federated database.

Business rules require transformations or corrections to attribute values during the data insertion process.

The GIS administrator needs a mechanism to ensure that attribute values adhere to these rules.

 Options Overview:

Attribute Rule:

Attribute rules can enforce data integrity by applying calculations or constraints during data editing.

With calculation rules, attribute values can be automatically derived based on specific logic, ensuring that values comply with business rules.

DBMS Trigger:DBMS triggers execute procedures when database events occur (e.g., an insert). However, they are managed outside of the geodatabase environment, making them less integrated with ArcGIS workflows.

Spatial View:A spatial view combines spatial and nonspatial data but does not enforce or modify attribute values during data loading or editing.

 Steps to Configure an Attribute Rule:

Define acalculation attribute ruleon the field requiring transformation.

Specify the logic to derive or validate the attribute value based on the business rules.

Apply the rule to the dataset.

As data is inserted, the rule ensures values are updated or corrected automatically.

 References:

Esri Documentation: Attribute Rules.

Attribute Rule Types: Best practices for using calculation and validation rules in enterprise geodatabases.

 Why the Correct Answer is A:Attribute rules are specifically designed to manage attribute values and ensure compliance withbusiness logic during data editing. DBMS triggers are external and less geodatabase-centric, while spatial views do not support value transformations during insertion.

 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.

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.

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.

To identify which user was responsible for creating each feature in a global enterprise geodatabase, enablingeditor trackingis the appropriate strategy.

1. What is Editor Tracking?

Editor tracking records metadata about feature creation and updates, including:

Whocreated or updated a feature.

Whenthe feature was created or updated.

This information is stored in four additional fields:

Creator

Creation Date

Editor

Edit Date

2. Advantages of Editor Tracking

Automatically tracks and populates user and timestamp fields for feature edits.

Requires no manual intervention by users, ensuring accuracy and consistency.

Works seamlessly in multi-user environments, including enterprise geodatabases.

3. Why Not Other Options?

Add a Global ID:

Global IDs are used to uniquely identify features but do not track user edits or changes.

Use Relationship Classes:

Relationship classes establish connections between features or tables. They are not designed to record user actions or metadata.

Steps to Enable Editor Tracking:

OpenArcGIS Proand connect to the enterprise geodatabase.

Right-click the feature class or dataset and selectManage > Enable Editor Tracking.

Specify the fields for storing creator, editor, creation date, and edit date.

Save and apply the changes.

References from Esri Documentation and Learning Resources:

Editor Tracking—ArcGIS Pro Documentation

Tracking Edits in Enterprise Geodatabases

Conclusion:

Enabling editor trackingis the most effective strategy to identify which user created each feature in a global enterprise geodatabase.

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:

The organization has a web service thatmust always be available.

The service reads data from afeature classin an enterprise geodatabase.

The GIS administrator needs to update theschemaof the feature class.

Why Disable Schema Locking?

By default, ArcGIS services enforceschema lockingto ensure data consistency while the service is active. This prevents any modifications to the feature class schema (e.g., adding fields, altering attributes) while the service is running.

Disabling schema locking allows schema updates to occur without disrupting the service's availability.(ArcGIS Documentation: Schema Locking)

Steps to Disable Schema Locking:

Access the ArcGIS Server Manager.

Locate the web service and open itsservice properties.

In the advanced settings, disable theschema lockingoption.

Perform the required schema updates (e.g., adding fields or modifying the feature class).

Re-enable schema locking if necessary for normal operation.

Alternative Options:

Option B: Run the Alter Field geoprocessing tool

This tool modifies fields but cannot execute schema changes while schema locks are active.

Option C: Delete the spatial index

Deleting the spatial index is unrelated to schema changes and could degrade query performance.

Thus, the correct workflow is todisable schema locking on the serviceto allow schema changes without disrupting the web service.

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.