Score Higher on Verified EGMP2201 | Enterprise Geodata Management Professional 2201 Exam Questions with Answers

Scenario Overview:

Editors are spending multiple hours resolving conflicts during reconciliation.

Key points:

Conflicts are detected by attribute (not by object).

Traditional versioning is used.

Weekly compression and weekly reconcile/post workflows are in place.

Why Reconcile and Post Daily?

Conflicts occur when multiple editors make overlapping edits. The longer versions remain unreconciled, the more conflicts accumulate, leading to time-consuming resolution.

Daily reconciliation and posting minimizes the number of changes between the parent and child versions, reducing the likelihood and volume of conflicts.

(ArcGIS Documentation: Reconcile and Post)

Key Benefits of Daily Reconciliation:

Fewer Changes to Compare: With fewer edits accumulated in each version, conflict detection is faster.

Less Complex Conflicts: Simplifies resolution since changes are smaller and more recent.

Improved Editor Productivity: Editors spend less time resolving conflicts, freeing up time for other tasks.

Alternative Options:

Option A: Detect conflicts by object

While this may reduce conflict granularity, it can lead to overwriting valid edits at the object level, which may not be acceptable in collaborative workflows.

Option B: Compress the geodatabase daily

Compression reduces the state tree and improves performance but does not directly reduce the number of conflicts during reconciliation.

Therefore, implementing daily reconciliation and posting is the most effective way to reduce conflicts and improve editing efficiency.

Scenario Overview:

Five feature classes are added to afeature dataset, which is registered as versionedwithout the move-edits-to-base option.

Afterward, another feature class is added to the same feature dataset.

Users encounter errors when trying to edit any feature class in the feature dataset.

Cause of the Problem:When a feature dataset is registered as versioned, all feature classes within it must maintain consistency in their versioning state. Adding a new feature class to a previously versioned feature dataset can disrupt the synchronization, causing errors during editing.

Solution:

Unregister as versioned on the feature dataset:This removes versioning from all feature classes in the dataset, resetting their versioning state.

Register the feature dataset as versioned again:This ensures all feature classes, including the newly added one, are correctly registered with the same versioning state.(ArcGIS Documentation: Registering Datasets as Versioned)

Alternative Options:

Option B:Registering the feature dataset again would not resolve the issue because versioning conflicts persist unless the entire feature dataset is unregistered and re-registered.

Option C:Switching to the move-edits-to-base option is unnecessary and alters the editing workflow, which may not align with the current setup or user needs.

Thus, the administrator shouldunregister the feature dataset as versioned and re-register itto resolve the errors.

? Understanding the Scenario:

The feature class is versioned and participates in a geodatabase topology.

The goal is to reload data while maintaining versioning and topology integrity.

? Key Considerations for Reloading Data:

Truncate Table:TheTruncate Tabletool efficiently deletes all rows in the feature class without logging individual row deletions in the geodatabase. It is the preferred method for clearing data while minimizing impact on performance.

Append Tool:After truncating the table, theAppendtool can load new data into the feature class, ensuring that the topology and versioning structure remain intact.

Avoiding Delete Rows:Deleting rows manually logs each deletion in delta tables, leading to a potential performance bottleneck and unnecessary transaction logging, especially for versioned datasets.

Geodatabase Topology Consideration:Topology rules will need to be validated after reloading the data to ensure spatial integrity.

? Steps to Reload Data:

Use theTruncate Tabletool to remove existing records.

Use theAppendtool to load the new data into the feature class.

Validate the topology in the geodatabase to check for any errors after the reload.

? References:

Esri Documentation: Truncate Table.

Loading Data into Versioned Feature Classes: Best practices for versioned and topology-aware datasets.

? Why the Correct Answer is A:Running theTruncate Tabletool ensures efficient data clearing, and using theAppendtool maintains the geodatabase's versioning and topology structure. Options B and C involve unnecessary row-level deletions, which are inefficient and could disrupt the versioned workflow.