Esri EAEP2201 Based on Real Exam Environment

By default, feature services limit the number of records returned in a single request (usually set to 1,000). To allow all 2,400 features to be returned in one call, the administrator needs to increase the “Maximum number of records returned by the server” (maxRecordCount) setting during or after publishing.

From the ArcGIS Server documentation:

“The maxRecordCount property defines the number of records returned by the server in a single request. To return all features, this value must be increased accordingly.”

Option A (adjust pooling) relates to concurrency and scalability, not data retrieval limits.

Option C would keep the default setting of 1,000, which would not meet the requirement.

Option D relates to visual performance, not record retrieval.

To allow users to add new features without the ability to modify or delete existing ones, the feature service should have the "Create" and "Query" operations enabled. The "Create" operation permits users to add new features, while the "Query" operation allows them to view existing features. By not enabling the "Update" and "Delete" operations, users are restricted from making changes to or removing existing features. This configuration is ideal for workflows where data integrity is crucial, and only the addition of new data is permitted.​

Enabling "Update and sync" (Option A) would allow users to modify existing features and synchronize changes, which is not desired in this scenario. "Extract and create" (Option C) is not a standard combination of operations for controlling editing permissions in feature services.​

Reference Source: ArcGIS Server documentation on editor permissions for feature services

ArcGIS GeoAnalytics Server is designed to perform distributed analysis on large volumes of spatial and temporal data. To efficiently process large datasets, it is recommended that each machine in the GeoAnalytics Server site has at least 16 GB of RAM and 4 CPU cores. However, for optimal performance, especially when handling very large datasets, increasing the available RAM can significantly improve processing times.​

In this scenario, the machine already has 16 GB of RAM and 4 cores. Adding more RAM would allow the GeoAnalytics Server to allocate more memory per job, enhancing its ability to process large datasets efficiently. Therefore, the recommended action is to add 16 GB of RAM to the GeoAnalytics Server machine.​

Reference Source: ArcGIS Enterprise documentation on GeoAnalytics Server system requirements and performance optimization.​