EGMP2201 Enterprise Geodata Management Professional 2201 Questions and Answers

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.

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:

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 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.

In a branch versioning workflow where thedefault versionis the published version that users see and editors can post edits to, setting the access level toProtectedis the best choice.

1. What Does the Protected Access Level Do?

TheProtectedaccess level allows users to view and query the version but restricts editing to authorized users only.

This ensures that only authorized editors can post changes to the default version, maintaining data integrity while allowing portal users to access the published version.

2. Why Not Other Options?

Public:

A public version allows anyone with appropriate permissions to edit the version. This could lead to uncontrolled changes and data integrity issues.

Private:

A private version restricts access to the version to only the owner and specific users, which is unsuitable when the default version is meant to be the published version visible to all portal users.

Steps to Configure Protected Access Level:

OpenArcGIS ProorArcGIS Enterprise Manager.

Navigate to the version management settings for the default version.

Set theAccess LeveltoProtected.

Ensure that editors with appropriate privileges are assigned to post changes to the default version.

References from Esri Documentation and Learning Resources:

Version Access Levels in Branch Versioning

Branch Versioning Workflows

Conclusion:

Setting the default version toProtectedensures a balance between providing access to portal users and restricting edits to authorized personnel.

Scenario Overview:

The wells feature class has one row per well.

The well_inspections table has one row for each inspection of a well.

Inspection dates from the well_inspections table need to be displayed as labels clustered around each well on the map.

The goal is to establish a connection between these two datasets without permanently joining them, as the data is being displayed dynamically (inspection dates are clustered around the wells).

Relates in Geodatabases:

A relate is a type of table association in which tables are linked by a common key field but remain separate.

Relates allow for dynamic queries to retrieve related records without duplicating or permanently associating the data.

Using a relate, you can query all inspection dates for a specific well dynamically, display them on the map as labels, and preserve the integrity of both the wells and inspections datasets.

(ArcGIS Documentation: Relates)

Alternative Options:

Option A: Join

A join merges two tables into one virtual table, based on a shared key. However, this approach is static and inappropriate for displaying dynamically clustered labels since the tables would need to be rejoined after every update.

Option C: Relationship Class

A relationship class is a more permanent association that enforces rules between two datasets. It is ideal for maintaining relationships between data but is unnecessary for dynamically labeling inspection dates on the map.

Thus, a relate is the most efficient and appropriate option for this scenario.

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.

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.

 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.

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.

 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.

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 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.

To ensure that the parent geodatabase can be fully compressed, even with unacknowledged data change messages, the replication must be configured toreplicate only the base tables.

1. What Happens with Unacknowledged Messages?

In traditional one-way replication, unacknowledged data change messages in the delta tables (Adds and Deletes) prevent full compression of the parent geodatabase.

By replicating only the base tables, the replication avoids using delta tables entirely, allowing the geodatabase to be fully compressed.

2. Why Replicate Only the Base Tables?

No Dependency on Delta Tables: This configuration ensures that the replication is based directly on the base table contents. As changes are not recorded in delta tables for replication, the parent geodatabase can be fully compressed without any impact.

Read-Only Copies: The replicated data in the child geodatabase will be read-only, which aligns with the requirement for regional offices.

3. Why Not Other Options?

Use the Full Replica Access Type:

Full replica access allows editing in the child geodatabase, which is unnecessary for read-only requirements. It also uses delta tables, preventing full compression.

Use the Archiving Option:

Archiving tracks historical edits and is unrelated to the replication or compression process. It does not solve the problem of unacknowledged messages blocking compression.

Steps to Set Up One-Way Replication with Base Tables:

OpenArcGIS Proand connect to the parent geodatabase.

Use theCreate Replicatool and selectOne-Way Replication.

Choose the option to replicatebase tables onlyduring the configuration process.

Define the datasets to replicate and complete the replication setup.

References from Esri Documentation and Learning Resources:

One-Way Replication Overview

Compressing Enterprise Geodatabases

Conclusion:

Configuring replication toreplicate only the base tablesensures that the parent geodatabase can be fully compressed, even with unacknowledged data change messages.

 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.

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.