Esri EGMP2201 Enterprise Geodata Management Professional 2201 Exam Practice Test

Scenario Overview:

An editor updates500,000 recordsin achild versionof the Default version using a field calculation.

Another editor updates the Default version, and thechild version is reconciledwith Default.

What Happens During Reconciliation?

In traditional versioning, edits to feature classes are stored in theAddsandDeletes tables.

During reconciliation:

Changes in the child version that differ from the Default version areduplicatedin the Adds and Deletes tables to track the differences.

This allows conflicts to be detected and resolved while preserving all edits.(ArcGIS Documentation: Traditional Versioning Workflow)

Alternative Options:

Option B: They will be migrated to the Base table

Migration to the base table occurs only when changes are posted and the geodatabase is compressed.

Option C: They will be removed from the States repository table

The States repository table tracks state transitions and is unaffected during reconciliation.

Thus, during reconciliation, the500,000 records are duplicated in the Adds and Deletes tablesto manage and detect conflicts.

 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.

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.

 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.

 Understanding the Scenario:

The query filters rows based on inspector_name and sorts the results by inspection_date.

Creating an index optimizes data retrieval by reducing the number of rows scanned during the query execution.

 Key Considerations for Indexing:

Primary Filter Column:The inspector_name column is the primary filter in the WHERE clause. Indexing this column ensures quick identification of rows matching the filter condition.

Sort Optimization:The ORDER BY inspection_date clause benefits from indexing inspection_date as the second column in a composite index, which accelerates sorting for the filtered results.

 Index Selection:

A composite index on inspector_name and inspection_date enables efficient query execution:

inspector_name ensures fast filtering.

inspection_date optimizes sorting.

Indexing unrelated columns like facility_type is unnecessary, as it is not part of the query.

 Steps to Create the Index:

In the enterprise geodatabase, use the database management tools or SQL commands to create a composite index:

CREATE INDEX idx_facility_inspections

ON facility_inspections (inspector_name, inspection_date);

 References:

Esri Documentation: Creating and Managing Indexes.

SQL Indexing Best Practices: Guidelines for composite index creation to optimize queries.

 Why the Correct Answer is D:A composite index on inspector_name and inspection_date directly addresses the query structure, optimizing both the WHERE filter and the ORDER BY clause.

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.

Scenario Overview:

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

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

Solution: Add Attribute Index

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

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

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

Steps to Add Attribute Index:

In ArcGIS Pro, open theAttribute Indexestool.

Select thefeature class or tableused in the definition query.

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

ClickRunto create the index.

Alternative Options:

Option B: Add Spatial Index

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

Option C: Recalculate Extent

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

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

 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.

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.

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

1. Why Register with the Geodatabase?

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

Proper use of spatial indexes.

Optimization of queries by the geodatabase.

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

2. Why Not Other Options?

Export to Shapefile:

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

Join to Another Feature Class:

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

Steps to Register a Database View with the Geodatabase:

OpenArcGIS Proand connect to the database.

Use theRegister with Geodatabasetool, specifying the database view.

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

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

Additional Notes:

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

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

References from Esri Documentation and Learning Resources:

Registering Views with a Geodatabase

Improving Map Performance with Views

Conclusion:

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

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.

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.

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.

ARCGIS PRO

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.

ARCGIS PRO

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.

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.

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.

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:

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.

 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.

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.