Esri EGMP2201 Exam Questions

Comprehensive Detailed Step-by-Step Explanation with All Enterprise Geodata Reference:

An Enterprise geodatabase is the most appropriate choice for this scenario due to the following reasons:

1. Requirement to Store Data Locally on Organization's Servers

An Enterprise geodatabase allows organizations to store GIS data locally in their own database management systems (DBMS), such as PostgreSQL, SQL Server, or Oracle.

This meets the requirement of maintaining control over data storage and ensuring the data resides within the organization's infrastructure.

2. Editing GIS Data via Web Services

Enterprise geodatabases seamlessly integrate with ArcGIS Server, enabling data editing via web services.

Organizations can publish feature services to allow authorized users to edit GIS data in real-time or in a disconnected environment (via sync).

These services support advanced editing workflows, including versioning and conflict resolution.

3. Indexing Specific Business Fields for Performance

Enterprise geodatabases offer robust indexing options to enhance query and editing performance.

You can:

Create attribute indexes on fields that are frequently queried.

Use spatial indexes to improve the speed of spatial queries.

This level of customization helps meet the performance demands of specific business workflows.

4. Advantages Over Other Storage Options

File Geodatabase:

While it is suitable for smaller datasets and local storage, it does not support multi-user editing, integration with web services, or advanced indexing for business fields.

Hosted Relational Database:

This option is part of ArcGIS Online or ArcGIS Enterprise managed services and stores data in the cloud, which contradicts the requirement for local storage.

It also does not provide the same level of control or indexing capabilities as an enterprise geodatabase.

Reference from Esri Documentation and Learning Resources:

Enterprise Geodatabases---ArcGIS Pro Documentation

Configuring Indexes in Geodatabases

Publishing Feature Services for Editing

Conclusion:

An Enterprise geodatabase not only meets all the stated requirements (local storage, web service editing, and indexed fields for performance) but also provides additional scalability, security, and multi-user editing capabilities.

The issue arises because One-way, parent to child replication is being used. In this type of replication, changes from the parent replica (production server) overwrite the data in the child replica (consultant's server) during synchronization, regardless of edits made in the child replica.

1. One-way Replication Workflow

Parent to Child: Changes are pushed from the parent to the child. The child can make local edits, but these edits are not sent back to the parent, and they can be overwritten when synchronizing.

In this case, the consultant's edits are overwritten because the synchronization is unidirectional from the production server to the consultant's server.

2. Issue with Conflicting Edits

Since One-way, parent to child replication does not support bi-directional synchronization or conflict detection, local changes in the child replica are not preserved if the parent replica pushes updates that conflict with them.

3. Why Not Other Options?

Checkout/check-in:

This replication type allows edits to be made in the checkout replica and reconciled back to the parent during check-in. This ensures that conflicting edits are addressed.

One-way, child to parent:

In this replication, edits flow from the child replica to the parent replica. The issue described does not align with this setup.

Reference from Esri Documentation and Learning Resources:

Geodatabase Replication---ArcGIS Pro Documentation

Understanding One-Way Replication

Conclusion:

The issue occurs because One-way, parent to child replication is being used, where edits made on the child replica are overwritten by updates from the parent replica during synchronization.

Scenario Overview:

A one-way replica from parent to child geodatabase is created for a single feature class.

The data owner adds a new attribute field in the parent geodatabase, calculates values, and attempts to synchronize the replica.

The new field and its values do not appear in the child replica, even after manually adding the field to the child geodatabase.

Why Recreate the Replica?

The issue arises because schema changes (e.g., adding new fields) are not automatically propagated in one-way replication workflows. Synchronization only applies to data changes, not schema updates.

To ensure the schema changes are recognized, the replica pair must be recreated with the updated schema. (ArcGIS Documentation: Geodatabase Replication and Schema Changes)

Steps to Resolve the Issue:

Unregister the Replica: Remove the existing replica pair from both the parent and child geodatabases.

Recreate the Replica: Create a new one-way replica between the parent and child geodatabases. This new replica will include the updated schema.

Synchronize Changes: Perform synchronization to transfer data, including the new field and calculated values, to the child geodatabase.

Alternative Options:

Option A: Enabling replica tracking does not address schema synchronization and would not resolve the issue.

Option B: Running Feature Compare is helpful for analyzing schema differences but does not propagate schema changes.

Thus, the data owner must unregister the replica pairs, recreate the replica with the updated schema, and synchronize changes to resolve the issue.

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.

Comprehensive Detailed Step-by-Step Explanation with All Enterprise Geodata Reference:

An Enterprise geodatabase is the most appropriate choice for this scenario due to the following reasons:

1. Requirement to Store Data Locally on Organization's Servers

An Enterprise geodatabase allows organizations to store GIS data locally in their own database management systems (DBMS), such as PostgreSQL, SQL Server, or Oracle.

This meets the requirement of maintaining control over data storage and ensuring the data resides within the organization's infrastructure.

2. Editing GIS Data via Web Services

Enterprise geodatabases seamlessly integrate with ArcGIS Server, enabling data editing via web services.

Organizations can publish feature services to allow authorized users to edit GIS data in real-time or in a disconnected environment (via sync).

These services support advanced editing workflows, including versioning and conflict resolution.

3. Indexing Specific Business Fields for Performance

Enterprise geodatabases offer robust indexing options to enhance query and editing performance.

You can:

Create attribute indexes on fields that are frequently queried.

Use spatial indexes to improve the speed of spatial queries.

This level of customization helps meet the performance demands of specific business workflows.

4. Advantages Over Other Storage Options

File Geodatabase:

While it is suitable for smaller datasets and local storage, it does not support multi-user editing, integration with web services, or advanced indexing for business fields.

Hosted Relational Database:

This option is part of ArcGIS Online or ArcGIS Enterprise managed services and stores data in the cloud, which contradicts the requirement for local storage.

It also does not provide the same level of control or indexing capabilities as an enterprise geodatabase.

Reference from Esri Documentation and Learning Resources:

Enterprise Geodatabases---ArcGIS Pro Documentation

Configuring Indexes in Geodatabases

Publishing Feature Services for Editing

Conclusion:

An Enterprise geodatabase not only meets all the stated requirements (local storage, web service editing, and indexed fields for performance) but also provides additional scalability, security, and multi-user editing capabilities.