Get Esri EGMP2201 Exam Dumps

Answer : B

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.

Answer : A

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.

Answer : C

Understanding the Scenario:

The request involves creating a view that dynamically combines data from a versioned feature class and a nonspatial table.

The data needs to be from a child version and 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 the versioned 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.

Reference:

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.

Answer : B

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:

Use one-way geodatabase replication to 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.

Reference:

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.

Answer : B

Understanding the Scenario:

ArcGIS Pro users need Undo/Redo functionality, which is available in versioned workflows.

SQL users also need to edit the dataset, requiring direct access to the database tables.

These requirements point to a need for a versioning method that supports both ArcGIS client workflows and SQL-based edits.

Versioning Methods Overview:

Nonversioned Editing: Nonversioned editing allows direct editing of the database but does not support Undo/Redo functionality in ArcGIS Pro, making it unsuitable for this scenario.

Traditional Versioning:

Supports Undo/Redo functionality for ArcGIS Pro users.

Stores edits in delta tables (adds and deletes) to manage versions.

SQL users can access and edit the base tables, making it compatible with their needs.

Branch Versioning: Branch versioning supports modern workflows and web services but requires a service-based approach for editing. It does not allow direct SQL edits, making it unsuitable for this scenario.

Steps to Implement Traditional Versioning:

Enable traditional versioning on the dataset in the enterprise geodatabase.

Ensure appropriate permissions are set for SQL users to access and edit the base tables.

ArcGIS Pro users will work in the versioned environment, allowing Undo/Redo operations during their edits.

Reference:

Esri Documentation: Understanding Versioning.

Traditional Versioning Concepts: Best practices for using traditional versioning with multiple user types.

Why the Correct Answer is B: Traditional versioning fulfills both requirements: Undo/Redo functionality for ArcGIS Pro users and SQL accessibility for direct edits.