Most Recent Esri EGMP2201 Exam Dumps

Understanding the Scenario:

Edits made to a feature class need to be immediately visible to all users.

This indicates a requirement for direct edits to the base tables without any versioning overhead.

Editing Configuration Overview:

Traditional Versioned Editing: Edits are made to delta tables and require version reconciliation and posting to be visible to other users. This introduces a delay and does not meet the requirement for immediate visibility.

Nonversioned Editing: Edits are applied directly to the base table of the feature class, ensuring they are immediately visible to all users. This is the correct choice for the scenario.

Branch Versioned Editing: Edits are made in a branch version and are not immediately visible to other users unless the edits are saved to the default branch. This is not the best choice for immediate visibility.

Steps to Configure Nonversioned Editing:

Ensure the feature class is set to nonversioned editing mode in the enterprise geodatabase.

Grant necessary permissions for all users to edit the base table.

All edits made to the dataset will instantly reflect for all users.

Reference:

Esri Documentation: Nonversioned Editing.

Why the Correct Answer is B: Nonversioned editing is the only configuration that ensures immediate visibility of edits to all users. Traditional and branch versioning involve workflows that delay edit visibility.

Scenario Overview:

The GIS administrator needs to create a synchronized copy of a branch versioned dataset.

Both copies must allow editing.

Why Geodatabase Replication?

Geodatabase replication supports the creation of synchronized copies of datasets while allowing edits in both the parent and child geodatabases.

For branch 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 replication enables editing on both sides while synchronizing changes.

Supports branch 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 replication is the correct method for synchronizing and editing branch versioned datasets in both geodatabases.

Understanding the Scenario:

The enterprise geodatabase receives regular updates through a 'push' SQL process from a federated database.

Business rules require transformations or corrections to attribute values during the data insertion process.

The GIS administrator needs a mechanism to ensure that attribute values adhere to these rules.

Options Overview:

Attribute Rule:

Attribute rules can enforce data integrity by applying calculations or constraints during data editing.

With calculation rules, attribute values can be automatically derived based on specific logic, ensuring that values comply with business rules.

DBMS Trigger: DBMS triggers execute procedures when database events occur (e.g., an insert). However, they are managed outside of the geodatabase environment, making them less integrated with ArcGIS workflows.

Spatial View: A spatial view combines spatial and nonspatial data but does not enforce or modify attribute values during data loading or editing.

Steps to Configure an Attribute Rule:

Define a calculation attribute rule on the field requiring transformation.

Specify the logic to derive or validate the attribute value based on the business rules.

Apply the rule to the dataset.

As data is inserted, the rule ensures values are updated or corrected automatically.

Reference:

Esri Documentation: Attribute Rules.

Attribute Rule Types: Best practices for using calculation and validation rules in enterprise geodatabases.

Why the Correct Answer is A: Attribute rules are specifically designed to manage attribute values and ensure compliance with business logic during data editing. DBMS triggers are external and less geodatabase-centric, while spatial views do not support value transformations during insertion.

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.

Reference:

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 move an enterprise geodatabase to a new server while keeping it intact, the RDBMS export/import process 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.

Reference from Esri Documentation and Learning Resources:

Backing Up and Restoring an Enterprise Geodatabase

RDBMS Tools for Backup and Restore

Conclusion:

The RDBMS export/import process ensures a complete migration of the enterprise geodatabase to a new server while preserving all configurations and data integrity.