EGMP2201 Enterprise Geodata Management Professional 2201 Questions and Answers

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.

To restrict access to specific fields in a feature class, the GIS data administrator should use adatabase view.

1. What is a Database View?

Adatabase viewis a virtual table created by a SQL query. It displays data from one or more tables or feature classes, but only the specified fields and rows are accessible.

Views allow the administrator to control the fields and records visible to users without altering the underlying data.

2. Why Use a Database View?

Provides fine-grained control over data access by limiting which fields (or rows) are visible to specific users.

Helps enforce data security policies in multi-user environments.

Can be shared as a read-only layer or with restricted update permissions, depending on the use case.

3. Why Not Other Options?

Layer File:

A layer file (*.lyr) only defines how data is symbolized and displayed. It does not restrict field access at the database level. Unauthorized users can still access hidden fields through direct database connections.

Query Layer:

A query layer allows for custom SQL queries when displaying data in ArcGIS but is not a security measure. Users can modify or bypass the query to access all fields.

Steps to Create a Database View:

Use SQL to define the view, specifying only the required fields:

CREATE VIEW restricted_view AS

SELECT field1, field2

FROM feature_class

WHERE ;

Grant permissions to the view for authorized users while restricting access to the base table.

Publish the view in ArcGIS as a read-only layer if needed.

References from Esri Documentation and Learning Resources:

Creating and Using Database Views

Data Security in Enterprise Geodatabases

Conclusion:

Adatabase viewis the most effective method to restrict access to specific fields in a feature class, ensuring data security while providing flexibility in data sharing.

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.

 Understanding the Scenario:

The organization needs to make 10 million features accessible in ArcGIS Online.

The dataset must remain synchronized with the enterprise geodatabase to ensure it is up to date.

 Replication Options Overview:

Distributed Collaboration:Distributed collaboration enables sharing data across ArcGIS Enterprise and ArcGIS Online. However, it is not ideal for managing large datasets with frequent updates like this scenario.

Geodatabase Replication:

Designed for synchronizing data between enterprise geodatabases.

Supports one-way, two-way, or checkout replication to ensure updates are consistently transferred.

The best option for synchronizing a large dataset like this with ArcGIS Online via publishing workflows.

Delete and Append:This approach would involve overwriting the dataset frequently, which is inefficient and unsuitable for a dataset with 10 million features requiring frequent updates.

 Steps to Implement Geodatabase Replication:

Useone-way geodatabase replicationto replicate the dataset from the enterprise geodatabase to a secondary geodatabase.

Publish the replicated data to ArcGIS Online.

Set up periodic synchronization to ensure the ArcGIS Online data reflects updates from the enterprise geodatabase.

 References:

Esri Documentation: Geodatabase Replication.

Best Practices for Large Datasets in ArcGIS Online: Sharing Large Datasets.

 Why the Correct Answer is B:Geodatabase replication is explicitly designed for synchronizing large datasets between geodatabases, ensuring data consistency and compatibility with ArcGIS Online.

The slow performance at zoomed-out extents is likely caused by the rendering of complex polygon geometries in real time, which can be computationally intensive. Using cached data is the best approach to improve performance in this situation.

1. Reason for Slow Performance at Zoomed-Out Extents

Complex polygons require significant processing power to render at smaller scales due to the high number of vertices and complex geometry.

When users zoom out, the number of features being displayed increases, causing additional strain on the map service.

Attribute queries are not affected because they do not involve rendering the geometries.

2. Advantages of Using Cached Data

Cached tiles are pre-rendered images of the map at specific scales, stored on the server.

When cached data is used, the server simply retrieves and displays these images instead of dynamically rendering the features.

This drastically reduces server load and improves map performance at zoomed-out extents.

3. Why Not Other Options?

Run the Analyze Datasets Tool:

This tool checks for issues like invalid geometries, missing spatial indexes, or improper field types. While useful for general data health, it does not directly address rendering performance.

Compress the Enterprise Geodatabase:

Compression improves performance for versioned data by consolidating states and cleaning up the database. However, in this case, the feature class is not versioned, so compression would not resolve the rendering issues.

Steps to Implement Caching:

Open ArcGIS Server Manager and navigate to the map service configuration.

Enable tile caching and define the scales at which tiles should be created (include the problematic zoomed-out extents).

Generate the cache using the "Manage Map Server Cache Tiles" tool.

Test the map to ensure performance improvements.

References from Esri Documentation and Learning Resources:

Map Caching in ArcGIS Enterprise

Best Practices for Map Services

Conclusion:

The GIS administrator should recommend enablingcached data for the zoomed extentsto significantly improve map performance.

 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.

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.

ARCGIS PRO

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.

ARCGIS PRO

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.

Scenario Overview:

Five feature classes are added to afeature dataset, which is registered as versionedwithout the move-edits-to-base option.

Afterward, another feature class is added to the same feature dataset.

Users encounter errors when trying to edit any feature class in the feature dataset.

Cause of the Problem:When a feature dataset is registered as versioned, all feature classes within it must maintain consistency in their versioning state. Adding a new feature class to a previously versioned feature dataset can disrupt the synchronization, causing errors during editing.

Solution:

Unregister as versioned on the feature dataset:This removes versioning from all feature classes in the dataset, resetting their versioning state.

Register the feature dataset as versioned again:This ensures all feature classes, including the newly added one, are correctly registered with the same versioning state.(ArcGIS Documentation: Registering Datasets as Versioned)

Alternative Options:

Option B:Registering the feature dataset again would not resolve the issue because versioning conflicts persist unless the entire feature dataset is unregistered and re-registered.

Option C:Switching to the move-edits-to-base option is unnecessary and alters the editing workflow, which may not align with the current setup or user needs.

Thus, the administrator shouldunregister the feature dataset as versioned and re-register itto resolve the errors.

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.

 Understanding the Scenario:

A user saves a connection file withread/write credentialsand creates layer files for visualization.

Viewers access these layer files, potentially exposing the saved credentials.

 Key Issue with the Workflow:

Saved Credentials in Connection File:Connection files can store usernames and passwords for convenience, but when shared, the credentials grant others the same level of access as the original user.

Impact of Read/Write Credentials:Viewers can inadvertently perform edits (e.g., add/delete fields or modify data) because the layer files inherit the permissions of the stored connection file.

 Steps to Resolve the Issue:

Avoid saving credentials in the connection file or use a connection withread-only accessfor shared layers.

Use proper publishing workflows to share layers with predefined permissions via feature or map services.

 References:

Esri Documentation: Sharing Layer Files.

Managing User Access in ArcGIS: Best practices for securing connection files and controlling access levels.

 Why the Correct Answer is C:Sharing layer files with stored credentials inadvertently grants viewers the same level of access as the user who created the connection file. This results in viewers being able to perform edits, violating intended data security policies.

 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.

 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.

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.

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.

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.