Esri EGMP2201 Enterprise Geodata Management Professional 2201 Exam Practice Test

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.

To ensure that editing and public usage do not affect each other, the best approach is tocreate separate database instancesfor these purposes.

1. Why Separate Database Instances?

Performance Isolation: Separating the databases ensures that editing operations (which are resource-intensive) do not impact the performance of queries or map services used by the public.

Workload Management: Editors can work in a dedicated environment with optimized settings for editing, while the public-facing database can focus on efficient querying and read-only access.

Security and Data Integrity: Public users are isolated from the editing environment, reducing the risk of unauthorized changes or accidental data loss.

2. How Separate Instances Work

Primary (Editing) Database: This instance supports editing workflows, including versioning, replication, and real-time updates.

Replica (Public) Database: A replicated copy of the primary database is maintained for public usage. Updates can be synchronized periodically using one-way or two-way replication.

3. Why Not Other Options?

Build New Feature Datasets:

Feature datasets organize related feature classes but do not separate editing and querying workloads. Performance issues would persist.

Separate Permissions for Public Services:

While restricting permissions helps secure data, it does not address performance issues caused by concurrent editing and public queries on the same database instance.

Steps to Create Separate Instances:

Set up aprimary database instancefor editing workflows.

Create areplica database instancefor public use by:

Using one-way replication to push updates from the primary to the public database.

Configuring the replica as read-only for public access.

Monitor and optimize each instance independently to ensure optimal performance.

References from Esri Documentation and Learning Resources:

Geodatabase Replication for Distributed Workflows

Managing Performance in Enterprise Geodatabases

Conclusion:

Creatingseparate database instancesensures optimal performance by isolating editing workflows from public usage, addressing both performance and security concerns.

To migrate an enterprise geodatabase to another server while changing its name and repository table owner, creating anew enterprise geodatabaseis the most appropriate workflow.

1. Why Create a New Enterprise Geodatabase?

New Geodatabase Name: Creating a new geodatabase allows specifying a different name for the database.

Change Repository Table Ownership: During the setup of the new geodatabase, the repository tables can be assigned to a new owner (e.g., DBO instead of SDE).

Fresh Configuration: This method provides full control over database settings, structure, and ownership during migration.

2. Why Not Other Options?

Restore a Database Backup:

Restoring a backup would preserve the original database name and ownership settings, which conflicts with the requirement to change these configurations.

Migrate Storage Geoprocessing Tool:

This tool is used for changing the storage type of geodatabase tables (e.g., from binary to XML). It is not designed for migration or renaming geodatabases or altering repository table ownership.

3. Steps to Create a New Enterprise Geodatabase:

Create the New Geodatabase:

Use theCreate Enterprise Geodatabasegeoprocessing tool in ArcGIS Pro or database-specific tools to set up the new geodatabase on the target server.

Configure the repository tables to use the desired owner (e.g., DBO).

Export Data from the Old Geodatabase:

UseGeodatabase replication,Export to File Geodatabase, or other export tools to migrate data to the new geodatabase.

Import Data to the New Geodatabase:

Load the exported data into the new geodatabase using theImport/Load Datatools.

Update Services and Connections:

Update database connection files and any published services to point to the new geodatabase.

References from Esri Documentation and Learning Resources:

Creating an Enterprise Geodatabase

Migrating Enterprise Geodatabases

Conclusion:

Creating anew enterprise geodatabaseis the best method to meet the requirements of renaming the database and changing the repository table owner.

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 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.

 Understanding the Scenario:

The GIS analyst needs to share a large repository oflidar data.

The data includes surface constraints like breaklines, which are used to enforce terrain or surface rules.

 Dataset Types Overview:

Mosaic Dataset:Designed for managing large collections of raster data, such as imagery or elevation grids. It is not specifically optimized for lidar point cloud data.

Feature Dataset:A container for related feature classes in a geodatabase. It is unrelated to managing lidar data or surface constraints.

LAS Dataset:A specialized dataset designed for managing lidar point clouds. It supports point classification, surface constraints (like breaklines), and efficient querying or visualization of lidar data.

 Steps to Create and Share a LAS Dataset:

Create a LAS dataset in ArcGIS Pro and add lidar files (LAS or ZLAS format).

Define surface constraints (breaklines) in the LAS dataset properties.

Share the LAS dataset as a service or package for organizational access.

 References:

Esri Documentation: LAS Datasets.

Managing Breaklines in LAS Datasets: Instructions for incorporating surface constraints.

 Why the Correct Answer is C:LAS datasets are explicitly designed for managing and sharing lidar data with surface constraints like breaklines. Mosaic and feature datasets are unsuitable for this purpose.

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 database exists but lacks the repository owner required for a geodatabase.

The GIS administrator has database administrator credentials to set up the geodatabase.

 Options Overview:

Create Enterprise Geodatabase:This tool creates a geodatabase in a relational database. It sets up the repository owner and adds the required system tables, schema, and configurations.

Enable Geodatabase:This tool enables geodatabase functionality in an existing database that already has the repository owner and structure. Since the repository owner is missing, this tool cannot be used.

Create Workflow Database:This tool is unrelated to creating or enabling geodatabases. It is used for managing workflows in a production environment.

 Steps to Use Create Enterprise Geodatabase:

Open theCreate Enterprise Geodatabasetool in ArcGIS Pro.

Provide the database connection information, including administrator credentials.

Specify the authorization file for geodatabase licensing.

Run the tool to create the geodatabase.

 References:

Esri Documentation: Create Enterprise Geodatabase.

 Why the Correct Answer is A:The Create Enterprise Geodatabase tool is specifically designed for initializing a geodatabase, including creating the repository owner and required system components. The other options are either not applicable or insufficient for the given scenario.

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.

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.

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.

 Understanding the Scenario:

An enterprise geodatabase feature dataset is accidentally deleted.

The organization needs to recover the dataset to its original state.

 Available Technologies:

High Availability:High availability setups (e.g., failover systems) ensure continuous access to geodatabases during hardware or software failures. However, high availability does not restore accidentally deleted data.

Backup:A backup is a snapshot of the geodatabase taken at a specific point in time. It allows administrators to restore deleted datasets or recover from data loss scenarios.

Archiving:Archiving tracks historical edits in versioned geodatabases but does not provide recovery for accidentally deleted datasets.

 Steps to Recover the Dataset:

Identify the most recent backup of the enterprise geodatabase.

Restore the geodatabase or extract the specific feature dataset from the backup.

Verify the restored data and synchronize it with ongoing updates if necessary.

 References:

Esri Documentation: Backup and Restore.

Best Practices for Data Protection: Guidelines for implementing regular backups to prevent data loss.

 Why the Correct Answer is B:A backup is the most reliable solution for recovering an accidentally deleted feature dataset. High availability ensures uptime but does not address data recovery, and archiving tracks edits rather than preserving entire datasets.

 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.

When a database view is registered with the geodatabase, the geometry type, spatial reference, and row ID field are added to the geodatabase system tables. This enables ArcGIS to recognize and use the view effectively.

1. What Happens During Registration?

System Table Updates: Registering the view adds metadata to the geodatabase system tables, including:

The geometry type (e.g., point, polygon).

The spatial reference (coordinate system).

The row ID field used to uniquely identify rows.

This metadata ensures that the database view is treated as a spatial dataset within ArcGIS.

2. Benefits of Registration:

Spatial Functionality: Registered views can be used in ArcGIS for visualization, analysis, and querying.

Geodatabase Tools Compatibility: Tools like attribute editing and symbology work seamlessly with registered views.

3. Why Not Other Options?

Viewers Can Modify Which Fields Are Visible for the Database View:

The visibility of fields in a database view is determined by the SQL query used to create the view, not by the registration process.

The Registration Process Allows the Database Contents View to Be Edited Using ArcGIS Tools:

Registered views remain read-only in ArcGIS, regardless of registration. Registration does not allow editing the view’s contents.

Steps to Register a Database View with the Geodatabase:

OpenArcGIS Proand connect to the database.

Use theRegister With Geodatabasetool.

Specify the database view to be registered.

Confirm that the geometry type, spatial reference, and row ID field are properly recognized.

References from Esri Documentation and Learning Resources:

Registering Views with the Geodatabase

Geodatabase Metadata

Conclusion:

Registering a database view with the geodatabase ensures that thegeometry type, spatial reference, and row ID field are added to the system tables for reference, enabling ArcGIS to treat the view as a spatial dataset.

To allow editors to see changes made to the default version in their child versions without reconciling, the dataset must be registered astraditional versioned with the option to move edits to base.

1. How This Versioning Method Works

When registering data astraditional versioned with the option to move edits to base, changes made in the default version are immediately visible to all child versions without requiring reconciliation.

This method directly updates the base table for default version edits, bypassing the delta tables used in standard traditional versioning workflows.

2. Why Use This Method?

Immediate Visibility: Editors can see default version updates in their child versions without the need for reconciliation or posting.

Simplified Workflow: Reduces the overhead of managing version reconciliation and posting for users who only need to view updates.

3. Why Not Other Options?

Branch Versioned with Global IDs and Editor Tracking Enabled:

Branch versioning is designed for feature services and web-based editing workflows. It does not allow direct visibility of default version changes in child versions.

Traditional Versioned with Archiving and Editor Tracking Enabled:

This method tracks historical changes but does not allow child versions to see updates in the default version without reconciliation.

Steps to Register Data with Move Edits to Base Option:

InArcGIS Pro, right-click the dataset or feature class and selectManage > Register as Versioned.

Check the option"Move edits to base"during registration.

Save the changes and verify that editors can view default version changes without reconciliation.

References from Esri Documentation and Learning Resources:

Traditional Versioning with Move Edits to Base

Versioning Options in Enterprise Geodatabases

Conclusion:

Registering the dataset astraditional versioned with the option to move edits to baseensures that editors can see changes made to the default version in their child versions without requiring reconciliation.

When users report that they are unable to connect to the geodatabase after nightly maintenance, and the GIS administrator can connect successfully, the issue is likely due to the geodatabase being set todeny new connectionsduring or after the maintenance process.

1. Geodatabase Maintenance and Connections

During maintenance, administrators often set the geodatabase to deny connections to prevent user interference.

If this setting is not reverted after maintenance, users will be unable to connect, but the administrator may still connect using their direct privileges.

2. Steps to Check if the Geodatabase is Accepting Connections

OpenArcGIS ProorArcGIS Enterprise Manager.

Go to the geodatabase properties.

Check the"Connections"setting:

Ensure the option"Accept Connections"is enabled.

3. Why Not Other Options?

Number of Maximum Connections:

While a connection limit could block users, the administrator would also face this issue if the limit was reached.

Correct Username and Password:

This is unlikely the issue if multiple users suddenly report the same problem after maintenance.

References from Esri Documentation and Learning Resources:

Managing Geodatabase Connections

Maintenance Best Practices for Enterprise Geodatabases

Conclusion:

The GIS administrator should check if thegeodatabase is accepting connectionsto resolve the issue.

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 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.

 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.