QUESTION: 5

Multiple editors in a web application need to collaboratively edit the same dataset using the following requirements:
- Each editor works in isolation until they come to a good stopping point - The editor shares their edits with the other editors at this point

- The editor again goes into isolation to continue editing until the next stopping point is reached - At any point, an editor can choose to see the edits that other editors have shared without sharing their own edits
How should the dataset be registered?

Branch versioned
Traditional versioned with editor tracking enabled
Traditional versioned with the option to move edits to base

Answer(s): A

Explanation:

Scenario Overview:
Multiple editors need to collaboratively edit the same dataset using a web application.
Requirements:
Editors work in isolation until they reach a stopping point.
Edits are shared with others at the stopping point.
Editors can view shared edits without sharing their own.
Branch Versioning in Enterprise Geodatabases:
Branch versioning is specifically designed for collaborative editing in web-based workflows. It supports isolated editing by creating branches for each editor and allows users to reconcile and post changes at their discretion.
Editors can choose to reconcile shared changes without posting their own edits, fulfilling the requirement to view shared edits without sharing their own.
(ArcGIS Documentation: Branch Versioning)
Key Features of Branch Versioning:
Supports Web Applications: Designed to work seamlessly with feature services, enabling real-time collaborative editing.
Isolation: Each editor can edit independently in their branch. Reconciliation: Editors can reconcile and view changes made by others without posting their edits. Flexible Sharing: Editors control when to post edits.
Alternative Options:
Option B: Traditional versioned with editor tracking enabled:
Traditional versioning supports isolated editing, but it does not provide the flexibility to view shared changes without posting your own edits.
It is also not as well-suited for web-based collaborative workflows.

Option C: Traditional versioned with the option to move edits to base:
Moving edits to base bypasses versioning workflows entirely and is not designed for collaborative editing.
Thus, branch versioning is the optimal solution for the requirements of this collaborative editing workflow in a web application.

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QUESTION: 6

A GIS data administrator frequently changes the map based on definition queries. A noticeable lag occurs when changing the parameter value of the definition query.
Which action should be taken?

Add Attribute Index
Add Spatial Index
Recalculate Extent

Answer(s): A

Explanation:

Scenario Overview:
The GIS data administrator is experiencing lag when changing the parameter value of a definition query.
Definition queries dynamically filter data based on attribute values. Slow performance often indicates inefficient attribute searches.
Solution: Add Attribute Index
An attribute index allows the database to quickly locate rows based on values in the indexed column, significantly improving query performance.
When definition queries rely on non-indexed fields, the database must scan the entire dataset to filter records, leading to noticeable delays.
By creating an attribute index on the fields used in the definition query, the database can optimize filtering, reducing lag.
(ArcGIS Documentation: Attribute Indexes)
Steps to Add Attribute Index:
In ArcGIS Pro, open the Attribute Indexes tool.
Select the feature class or table used in the definition query. Specify the field(s) that the definition query is based on.
Click Run to create the index.
Alternative Options:
Option B: Add Spatial Index
Spatial indexes optimize spatial queries (e.g., finding features within an area). This does not address attribute-based definition query lag.
Option C: Recalculate Extent
Recalculating the extent corrects boundary discrepancies in spatial datasets but has no impact on attribute query performance.
Thus, adding an attribute index is the correct action to resolve lag in definition queries.

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QUESTION: 7

A GIS data manager observes that editors spend multiple hours resolving conflicts when they reconcile.
- Conflicts are detected by attribute
- Traditional versioning is being used
- The geodatabase is being compressed weekly
- Versions are reconciled and posted weekly
Which change will result in fewer conflicts?

Detect conflicts by object
Compress the geodatabase daily
Reconcile and post versions daily

Answer(s): C

Explanation:

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.

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QUESTION: 8

AGIS data administrator is creating new feature classes within an enterprise geodatabase using the following workflow:
- Five feature classes are added to a feature dataset - The feature dataset is registered as versioned without the move-edits-to-base option - Then another feature class is added to the same feature dataset Users receive error messages when trying to edit any of the feature classes within the feature dataset.
What should the administrator do?

Unregister as versioned on the feature dataset and then register as versioned again
Register as versioned on the feature dataset one additional time
Switch the editing workflow to versioned editing with the move-edits-to-base option

Answer(s): A

Explanation:

Scenario Overview:
Five feature classes are added to a feature dataset, which is registered as versioned without 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 should unregister the feature dataset as versioned and re-register it to resolve the errors.

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