EGMP2201 Dumps With Exact Questions and Answers

 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:

Useone-way geodatabase replicationto 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.

 References:

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.

 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.

Scenario Overview:

Users experienceslowing performanceacross the geodatabase, particularly for edits and drawing when adding 10,000 records.

The organization performs weekly maintenance tasks:

Rebuilding indexes and statistics

Compressing the geodatabase

Removing orphaned connections

Why Reconcile and Post Versions?

Slow performance in traditional versioning often results from excessive unreconciled versions and a bloatedstate tree.

Reconciling and posting versions reduces the number of states, enabling geodatabase compression to fully collapse redundant states and improve performance.(ArcGIS Documentation: Reconcile and Post)

Alternative Options:

Option A: Change to use Default version

This bypasses versioning workflows and does not address the root cause of performance degradation.

Option B: Update records via Python

Using Python to update records does not resolve issues caused by unreconciled versions or state tree inefficiencies.

Thus, the correct action is toreconcile and post versions, ensuring the geodatabase state tree is optimized and performance is restored.