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  1. Home
  2. Esri Certification
  3. EGMP2201 Exam
  4. Esri.EGMP2201.v2025-09-11.q21 Dumps
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Question 1

After running a Compress, the GIS administrator needs to check if the Adds and Deletes tables for Buildings are empty before unregistering as versioned.
What should be referenced by the GIS administrator?

Correct Answer: A
To determine if theAddsandDeletestables for the "Buildings" dataset are empty before unregistering as versioned, the GIS administrator needs to reference thesde_layerstable.
1. Purpose of the sde_layers Table
* Thesde_layerstable tracks the relationship between base tables and the associated delta tables (Adds and Deletes).
* For each versioned dataset, the sde_layers table contains entries linking the dataset to its corresponding A and D tables (e.g., A_<ObjectID> and D_<ObjectID>).
2. Steps to Verify Adds and Deletes
* Identify theObjectIDof the Buildings dataset in thesde_layerstable.
* Query the Adds table (A_<ObjectID>) and Deletes table (D_<ObjectID>) associated with the Buildings dataset:
SELECT COUNT(*) FROM A_<ObjectID>;
SELECT COUNT(*) FROM D_<ObjectID>;
* If both queries return 0, the Adds and Deletes tables are empty, and it is safe to unregister the dataset as versioned.
3. Why Not Other Options?
* table_registry: This table tracks registered datasets but does not provide information about delta tables or their contents.
* gdb_items: This table stores metadata for datasets but does not have details on delta table contents.
References from Esri Documentation and Learning Resources:
* Compressing a Geodatabase-ArcGIS Pro Documentation
* Delta Tables in Versioned Geodatabases
Conclusion:
The GIS administrator must query thesde_layerstable to verify the Adds and Deletes tables before unregistering the dataset as versioned.
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Question 2

A user accidentally deletes an enterprise geodatabase feature dataset.
Which technology should be used to resolve the issue?

Correct Answer: B
Understanding the Scenario:
* An enterprise geodatabase feature dataset is accidentally deleted.
* The organization needs to recover the dataset to its original state.
Available Technologies:
* High Availability:High availability setups (e.g., failover systems) ensure continuous access to geodatabases during hardware or software failures. However, high availability does not restore accidentally deleted data.
* Backup:A backup is a snapshot of the geodatabase taken at a specific point in time. It allows administrators to restore deleted datasets or recover from data loss scenarios.
* Archiving:Archiving tracks historical edits in versioned geodatabases but does not provide recovery for accidentally deleted datasets.
Steps to Recover the Dataset:
* Identify the most recent backup of the enterprise geodatabase.
* Restore the geodatabase or extract the specific feature dataset from the backup.
* Verify the restored data and synchronize it with ongoing updates if necessary.
References:
* Esri Documentation: Backup and Restore.
* Best Practices for Data Protection: Guidelines for implementing regular backups to prevent data loss.
Why the Correct Answer is B:A backup is the most reliable solution for recovering an accidentally deleted feature dataset. High availability ensures uptime but does not address data recovery, and archiving tracks edits rather than preserving entire datasets.
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Question 3

AGIS database administrator needs to create an index to improve query performance on a large enterprise geodatabase facility_inspections feature class.
The query to be optimized is as follows:
SELECT facility_type,inspection_date
FROM facility_inspections WHERE inspector_name = 'JQSmith' ORDER BY inspection_date

Correct Answer: D
Understanding the Scenario:
* The query filters rows based on inspector_name and sorts the results by inspection_date.
* Creating an index optimizes data retrieval by reducing the number of rows scanned during the query execution.
Key Considerations for Indexing:
* Primary Filter Column:The inspector_name column is the primary filter in the WHERE clause.
Indexing this column ensures quick identification of rows matching the filter condition.
* Sort Optimization:The ORDER BY inspection_date clause benefits from indexing inspection_date as the second column in a composite index, which accelerates sorting for the filtered results.
Index Selection:
* A composite index on inspector_name and inspection_date enables efficient query execution:
* inspector_name ensures fast filtering.
* inspection_date optimizes sorting.
* Indexing unrelated columns like facility_type is unnecessary, as it is not part of the query.
Steps to Create the Index:
* In the enterprise geodatabase, use the database management tools or SQL commands to create a composite index:
CREATE INDEX idx_facility_inspections
ON facility_inspections (inspector_name, inspection_date);
References:
* Esri Documentation: Creating and Managing Indexes.
* SQL Indexing Best Practices: Guidelines for composite index creation to optimize queries.
Why the Correct Answer is D:A composite index on inspector_name and inspection_date directly addresses the query structure, optimizing both the WHERE filter and the ORDER BY clause.
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Question 4

An organization has a web service that must always be available. This service reads data from a feature class in an enterprise geodatabase. The GIS administrator needs to update the schema of the feature class.
Which workflow should be used?

Correct Answer: A
Scenario Overview:
* The organization has a web service thatmust always be available.
* The service reads data from afeature classin an enterprise geodatabase.
* The GIS administrator needs to update theschemaof the feature class.
Why Disable Schema Locking?
* By default, ArcGIS services enforceschema lockingto ensure data consistency while the service is active. This prevents any modifications to the feature class schema (e.g., adding fields, altering attributes) while the service is running.
* Disabling schema locking allows schema updates to occur without disrupting the service's availability.
(ArcGIS Documentation: Schema Locking)
Steps to Disable Schema Locking:
* Access the ArcGIS Server Manager.
* Locate the web service and open itsservice properties.
* In the advanced settings, disable theschema lockingoption.
* Perform the required schema updates (e.g., adding fields or modifying the feature class).
* Re-enable schema locking if necessary for normal operation.
Alternative Options:
* Option B: Run the Alter Field geoprocessing tool
* This tool modifies fields but cannot execute schema changes while schema locks are active.
* Option C: Delete the spatial index
* Deleting the spatial index is unrelated to schema changes and could degrade query performance.
Thus, the correct workflow is todisable schema locking on the serviceto allow schema changes without disrupting the web service.
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Question 5

A GIS analyst needs to share a large repository of lidar data with the organization. This lidar data will have surface constraints applied for breaklines.
Which type of dataset should the GIS analyst use?

Correct Answer: C
Understanding the Scenario:
* The GIS analyst needs to share a large repository oflidar data.
* The data includes surface constraints like breaklines, which are used to enforce terrain or surface rules.
Dataset Types Overview:
* Mosaic Dataset:Designed for managing large collections of raster data, such as imagery or elevation grids. It is not specifically optimized for lidar point cloud data.
* Feature Dataset:A container for related feature classes in a geodatabase. It is unrelated to managing lidar data or surface constraints.
* LAS Dataset:A specialized dataset designed for managing lidar point clouds. It supports point classification, surface constraints (like breaklines), and efficient querying or visualization of lidar data.
Steps to Create and Share a LAS Dataset:
* Create a LAS dataset in ArcGIS Pro and add lidar files (LAS or ZLAS format).
* Define surface constraints (breaklines) in the LAS dataset properties.
* Share the LAS dataset as a service or package for organizational access.
References:
* Esri Documentation: LAS Datasets.
* Managing Breaklines in LAS Datasets: Instructions for incorporating surface constraints.
Why the Correct Answer is C:LAS datasets are explicitly designed for managing and sharing lidar data with surface constraints like breaklines. Mosaic and feature datasets are unsuitable for this purpose.
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