Esri EGMP2201 Exam Questions

Scenario Overview:

Editors reconcile and post daily, but read-only versions created for analysis are not reconciled or posted.

The geodatabase is compressed nightly, but performance continues to degrade.

Cause of the Problem:

Unreconciled versions, including read-only ones, persist in the state tree, preventing the geodatabase compression from fully collapsing unused states.

Over time, this results in a bloated state tree and worsened performance.

Solution:

Reconciling and posting the read-only versions ensures that the state tree is cleared of unnecessary versions, enabling compression to collapse the database to its optimal state.

(ArcGIS Documentation: Reconcile and Post)

Alternative Options:

Option B: Creating a database view provides a read-only representation of data but does not address the underlying issue of unresolved states in the state tree.

Option C: Disabling editor tracking is unrelated to state tree performance issues and has no impact on the reconciliation or compression processes.

Therefore, reconciling the read-only versions will significantly improve performance.

Understanding the Scenario:

The regional office lacks access to ArcGIS Enterprise, ArcGIS Online accounts, or an enterprise geodatabase.

Data must be distributed in a format that the regional office can use independently of enterprise-level systems.

Data Distribution Solutions Overview:

Geodatabase Replication:

Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.

Replicas can be set up in a disconnected mode, enabling regional offices to work with the data offline.

Distributed Collaboration: Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.

Partnered Collaborations: Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.

Steps to Implement Geodatabase Replication:

Create a one-way replica of the data in a format compatible with the regional office's systems (e.g., file geodatabase).

Transfer the replica to the regional office via portable media or secure file sharing.

Set up periodic updates if the data needs to be refreshed.

Reference:

Esri Documentation: Geodatabase Replication.

Disconnected Workflows: Best practices for sharing data in offline environments.

Why the Correct Answer is A: Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.

Scenario Overview:

Users experience slowing performance across 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 bloated state 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 to reconcile and post versions, ensuring the geodatabase state tree is optimized and performance is restored.

The slow performance at zoomed-out extents is likely caused by the rendering of complex polygon geometries in real time, which can be computationally intensive. Using cached data is the best approach to improve performance in this situation.

1. Reason for Slow Performance at Zoomed-Out Extents

Complex polygons require significant processing power to render at smaller scales due to the high number of vertices and complex geometry.

When users zoom out, the number of features being displayed increases, causing additional strain on the map service.

Attribute queries are not affected because they do not involve rendering the geometries.

2. Advantages of Using Cached Data

Cached tiles are pre-rendered images of the map at specific scales, stored on the server.

When cached data is used, the server simply retrieves and displays these images instead of dynamically rendering the features.

This drastically reduces server load and improves map performance at zoomed-out extents.

3. Why Not Other Options?

Run the Analyze Datasets Tool:

This tool checks for issues like invalid geometries, missing spatial indexes, or improper field types. While useful for general data health, it does not directly address rendering performance.

Compress the Enterprise Geodatabase:

Compression improves performance for versioned data by consolidating states and cleaning up the database. However, in this case, the feature class is not versioned, so compression would not resolve the rendering issues.

Steps to Implement Caching:

Open ArcGIS Server Manager and navigate to the map service configuration.

Enable tile caching and define the scales at which tiles should be created (include the problematic zoomed-out extents).

Generate the cache using the 'Manage Map Server Cache Tiles' tool.

Test the map to ensure performance improvements.

Reference from Esri Documentation and Learning Resources:

Map Caching in ArcGIS Enterprise

Best Practices for Map Services

Conclusion:

The GIS administrator should recommend enabling cached data for the zoomed extents to significantly improve map performance.

When users report that they are unable to connect to the geodatabase after nightly maintenance, and the GIS administrator can connect successfully, the issue is likely due to the geodatabase being set to deny new connections during or after the maintenance process.

1. Geodatabase Maintenance and Connections

During maintenance, administrators often set the geodatabase to deny connections to prevent user interference.

If this setting is not reverted after maintenance, users will be unable to connect, but the administrator may still connect using their direct privileges.

2. Steps to Check if the Geodatabase is Accepting Connections

Open ArcGIS Pro or ArcGIS Enterprise Manager.

Go to the geodatabase properties.

Check the 'Connections' setting:

Ensure the option 'Accept Connections' is enabled.

3. Why Not Other Options?

Number of Maximum Connections:

While a connection limit could block users, the administrator would also face this issue if the limit was reached.

Correct Username and Password:

This is unlikely the issue if multiple users suddenly report the same problem after maintenance.

Reference from Esri Documentation and Learning Resources:

Managing Geodatabase Connections

Maintenance Best Practices for Enterprise Geodatabases

Conclusion:

The GIS administrator should check if the geodatabase is accepting connections to resolve the issue.