Esri Updated EGMP2201 Exam Questions and Answers by fearne

Scenario Overview:

The GIS data administrator is experiencinglagwhen changing the parameter value of adefinition query.

Definition queries dynamically filter data based on attribute values. Slow performance often indicates inefficient attribute searches.

Solution: Add Attribute Index

Anattribute indexallows 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 theAttribute Indexestool.

Select thefeature class or tableused in the definition query.

Specify the field(s) that the definition query is based on.

ClickRunto 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 anattribute indexis the correct action to resolve lag in definition queries.

To allow editors to see changes made to the default version in their child versions without reconciling, the dataset must be registered astraditional versioned with the option to move edits to base.

1. How This Versioning Method Works

When registering data astraditional versioned with the option to move edits to base, changes made in the default version are immediately visible to all child versions without requiring reconciliation.

This method directly updates the base table for default version edits, bypassing the delta tables used in standard traditional versioning workflows.

2. Why Use This Method?

Immediate Visibility: Editors can see default version updates in their child versions without the need for reconciliation or posting.

Simplified Workflow: Reduces the overhead of managing version reconciliation and posting for users who only need to view updates.

3. Why Not Other Options?

Branch Versioned with Global IDs and Editor Tracking Enabled:

Branch versioning is designed for feature services and web-based editing workflows. It does not allow direct visibility of default version changes in child versions.

Traditional Versioned with Archiving and Editor Tracking Enabled:

This method tracks historical changes but does not allow child versions to see updates in the default version without reconciliation.

Steps to Register Data with Move Edits to Base Option:

InArcGIS Pro, right-click the dataset or feature class and selectManage > Register as Versioned.

Check the option"Move edits to base"during registration.

Save the changes and verify that editors can view default version changes without reconciliation.

References from Esri Documentation and Learning Resources:

Traditional Versioning with Move Edits to Base

Versioning Options in Enterprise Geodatabases

Conclusion:

Registering the dataset astraditional versioned with the option to move edits to baseensures that editors can see changes made to the default version in their child versions without requiring reconciliation.

 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.

Scenario Overview:

The administrator needs to store attributes for valves (e.g., color, model, and size).

Pick listsmust display only valid combinations of these attributes.

Why Contingent Values?

Contingent valuesallow geodatabases to enforce specific, dependent attribute combinations.

For example, if certain sizes are only valid for specific models and colors, contingent values ensure only permitted combinations are displayed in pick lists.(ArcGIS Documentation: Contingent Values)

How Contingent Values Work:

Attribute domains are defined for individual fields (e.g., color, model, size).

Contingent value rules are configured to establish relationships between the fields, restricting invalid combinations.

When editing data, pick lists dynamically adjust based on contingent value rules, showing only valid options.

Alternative Options:

Option A: Domains

Attribute domains enforce constraints on individual fields but cannot define dependencies between fields.

Option B: Subtypes with domains

Subtypes group features into categories with distinct domain rules but do not support interdependent attribute combinations.

Thus,contingent valuesare the appropriate geodatabase capability to configure pick lists for valid attribute combinations.