QUESTION: 25

An organization using ArcGIS Enterprise needs to make a map with 10 million features viewable in ArcGIS Online. The data must be kept up to date from an enterprise geodatabase.
Which replication option should the GIS administrator use?

Distributed collaboration
Geodatabase replication
Delete and Append the data

Answer(s): B

Explanation:

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.

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QUESTION: 26

A GIS data administrator receives a request to create a database view that meets the following criteria:
- Data is combined from feature class and nonspatial table - Source feature class is versioned
- Source is from a child version
- Needs to be dynamically updated
How should the view be created?

On the feature class and repository tables
On the feature class and nonspatial table
On the versioned view and nonspatial table

Answer(s): C

Explanation:

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.

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QUESTION: 27

An organization uses a two-way replica to share edits for a polygon feature class with a field office. After months of synchronizing edits, a schema change takes place using the following workflow; - A new field called a legal_area is added to a polygon feature class in the parent geodatabase - An editor uses the Calculate Geometry tool to calculate legal_area for each polygon - The child geodatabase does not have the legal_area field in the polygon feature class

- The parent geodatabase synchronizes the replica to the child geodatabase What happens during synchronization?

An error message occurs
The synchronization adds the missing field
The synchronization succeeds

Answer(s): A

Explanation:

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.

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QUESTION: 28

A user accidentally deletes an enterprise geodatabase feature dataset.
Which technology should be used to resolve the issue?

High availability
Backup
Archiving

Answer(s): B

Explanation:

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.

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