Most Recent Esri EGMP2201 Exam Questions & Answers

To migrate an enterprise geodatabase to another server while changing its name and repository table owner, creating a new enterprise geodatabase is 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 the Create Enterprise Geodatabase geoprocessing 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:

Use Geodatabase 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 the Import/Load Data tools.

Update Services and Connections:

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

Reference from Esri Documentation and Learning Resources:

Creating an Enterprise Geodatabase

Migrating Enterprise Geodatabases

Conclusion:

Creating a new enterprise geodatabase is the best method to meet the requirements of renaming the database and changing the repository table owner.

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 the Add Attribute Index tool creates an index on the join field, enabling efficient joining operations. (ArcGIS Documentation: Attribute Indexes)

Steps to Resolve:

Open the Add Attribute Index tool 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 the Add Attribute Index tool to resolve the error.

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 must disconnect from their active session to allow the geodatabase upgrade to proceed. Disconnecting ensures no locks are held on the database objects.

The administrator can also use Geodatabase Administration tools to 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 must disconnect from their active session for the geodatabase upgrade to proceed.

Scenario Overview:

The organization has ArcGIS Enterprise and requires versioned editing.

The project mandates tracking which user deleted a feature from the default version.

Why Branch Versioned Editing?

Branch versioning supports versioned editing workflows and integrates seamlessly with editor tracking, including operations like tracking who deleted a feature.

It is ideal for web-based workflows in ArcGIS Enterprise and 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 editing supports versioned workflows but does not inherently track who deletes features unless additional workflows are implemented (e.g., custom fields or triggers).

Option C: Nonversioned editing does not support versioning workflows or user tracking.

Thus, branch versioned editing is the best workflow to support versioned editing while tracking deleted features.

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.

Reference:

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.