Esri EGMP2201 Exam With Confidence Using Practice Dumps

When a database view performs poorly in a map, registering it with the geodatabase can significantly improve performance.

1. Why Register with the Geodatabase?

Registering a database view with the geodatabase integrates it into the geodatabase system, enabling:

Proper use of spatial indexes.

Optimization of queries by the geodatabase.

Improved handling of large datasets by leveraging geodatabase-specific performance enhancements.

2. Why Not Other Options?

Export to Shapefile:

Shapefiles are a flat file format that lacks indexing and performance optimization. Using shapefiles is not suitable for complex queries or large datasets.

Join to Another Feature Class:

Joining data does not address the root cause of performance issues in the view and may further degrade performance if the join adds complexity.

Steps to Register a Database View with the Geodatabase:

OpenArcGIS Proand connect to the database.

Use theRegister with Geodatabasetool, specifying the database view.

Configure the registration to include spatial indexes if the view contains spatial data.

Save and test the performance of the registered view in a map.

Additional Notes:

If the database view includes complex SQL logic, simplify the query if possible to further improve performance.

Ensure that the underlying tables in the view are properly indexed.

References from Esri Documentation and Learning Resources:

Registering Views with a Geodatabase

Improving Map Performance with Views

Conclusion:

Registering the database view with the geodatabase enables spatial indexing and geodatabase optimization, addressing performance issues and ensuring efficient rendering and querying.

 Understanding the Scenario:

The organization requires feature classes to beeditable in mobile and web apps.

Performance optimization through indexing is also needed for common queries.

 Feature Class Storage Options:

Enterprise Geodatabase:

Supports multiuser environments, making it suitable for mobile and web app editing.

Allows indexing at the database level, which improves query performance for large datasets.

Provides robust versioning, replication, and sync capabilities for mobile workflows.

File Geodatabase:

Supports single-user access and lacks enterprise-grade indexing and multiuser editing capabilities.

Does not meet the requirements for web and mobile app editing.

Mobile Geodatabase:

Optimized for mobile apps but does not support the enterprise-level indexing and multiuser workflows required for this scenario.

 Steps for Storing and Optimizing Feature Classes:

Store the feature classes in an enterprise geodatabase.

Create indexes on frequently queried columns to optimize performance for mobile and web app queries.

Use tools likeArcGIS Proto publish feature services for mobile and web app editing.

 References:

Esri Documentation: Enterprise Geodatabases Overview.

Indexing for Performance Optimization: Guidelines for improving query performance in enterprise environments.

 Why the Correct Answer is A:Enterprise geodatabases are the only storage option that supports multiuser editing in mobile and web apps and provides advanced indexing capabilities. File and mobile geodatabases lack the necessary functionality for this use case.

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.

References from Esri Documentation and Learning Resources:

Map Caching in ArcGIS Enterprise

Best Practices for Map Services

Conclusion:

The GIS administrator should recommend enablingcached data for the zoomed extentsto significantly improve map performance.