EXAM EGMP2201 SCORE & NEW EGMP2201 TEST DISCOUNT

Exam EGMP2201 Score & New EGMP2201 Test Discount

Exam EGMP2201 Score & New EGMP2201 Test Discount

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Esri EGMP2201 is a certification program offered by Esri, the global leader in GIS (Geographic Information Systems) software and solutions. Enterprise Geodata Management Professional 2201 certification program is specifically designed for professionals who are interested in enhancing their skills and knowledge in enterprise geodata management. The program is suitable for GIS administrators, database administrators, enterprise architects, and IT professionals who are responsible for managing and maintaining enterprise geodatabases.

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Esri EGMP2201 certification is recognized globally as a standard of excellence in enterprise geodata management. Enterprise Geodata Management Professional 2201 certification demonstrates to potential employers and clients that a candidate has the knowledge and skills required to manage geospatial data in an enterprise environment. Enterprise Geodata Management Professional 2201 certification is also a valuable asset for professionals who want to advance their careers in the GIS industry.

Esri is a leading provider of GIS (geographic information system) software and technology. The company offers a variety of certifications to help professionals demonstrate their knowledge and expertise in using Esri products. One of these certifications is the EGMP2201 (Enterprise Geodata Management Professional 2201) Certification Exam.

Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q65-Q70):

NEW QUESTION # 65
A user accidentally deletes an enterprise geodatabase feature dataset.
Which technology should be used to resolve the issue?

  • A. High availability
  • B. Archiving
  • C. Backup

Answer: C

Explanation:
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.


NEW QUESTION # 66
A GIS administrator is investigating reports of slow performance in a map of complex polygons. The investigation finds the following:
* The feature class is in an enterprise geodatabase
* This data has been published as a map service in ArcGIS Enterprise
* The feature class is not versioned
* The map seems to perform slowly at several zoomed-out extents in the map
* Queries on the attributes perform quickly
Which recommendation should the GIS administrator make?

  • A. Show cached data for the zoomed extents
  • B. Compress the enterprise geodatabase
  • C. Run the Analyze Datasets tool

Answer: A

Explanation:
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.


NEW QUESTION # 67
A wells feature class has one row per well. A well_inspections table has one row for each time a well was inspected. All inspection dates need to be displayed as labels clustered around each well on the map.
Which kind of association should be used to meet this requirement?

  • A. Relate
  • B. Relationship class
  • C. Join

Answer: A


NEW QUESTION # 68
AGIS data manager realizes that archiving cannot be enabled for a feature class. An investigation reveals that the problem is in the feature class configuration.
How was the feature class registered?

  • A. Versioned with move edits to base
  • B. Versioned without move edits to base
  • C. Branch versioned with editor tracking

Answer: A

Explanation:
Understanding the Scenario:
* The feature class cannot havearchiving enabled.
* Archiving tracks changes over time and requires specific configurations in versioned datasets.
Key Constraints for Enabling Archiving:
* Archiving can only be enabled for feature classes registered asversioned without moving edits to base.
* Versioned with move edits to base:This configuration directly edits the base table, bypassing the delta tables (adds and deletes) used in traditional versioning. Since archiving relies on delta tables to track changes, this configuration is incompatible with archiving.
* Branch Versioned with Editor Tracking:Branch versioning supports editor tracking and web-based workflows but does not currently support archiving.
Steps to Correct the Configuration:
* Re-register the feature class asversioned without moving edits to base.
* Enable archiving after re-registration.
References:
* Esri Documentation: Archiving Requirements.
* Versioning and Archiving Compatibility: Best practices for configuring datasets for archiving.
Why the Correct Answer is B:When a feature class is registered asversioned with move edits to base, it does not maintain delta tables, making it incompatible with archiving.


NEW QUESTION # 69
A GIS data administrator needs to load a large amount of data into a version, verify its quality, and then reconcile and post this version to default. The data administrator needs to create the fewest number of rows in the database.
Which versioning method should be used?

  • A. Traditional versioning without the archiving option
  • B. Traditional versioning with the archiving option
  • C. Branch versioning

Answer: A

Explanation:
To minimize the number of rows created in the database while performing versioning workflows (loading, quality checking, reconciling, and posting),Traditional versioning without the archiving optionis the best choice.
1. Traditional Versioning Without Archiving
* This method stores edits indelta tables(Adds and Deletes) rather than directly in the base table.
* Without the archiving option, the system does not create additional rows to track historical changes, which helps reduce the number of rows.
2. Why It's Ideal for This Workflow
* Load Data: Data is directly inserted into the delta tables, keeping base tables untouched.
* Quality Verification: Edits can be reviewed and adjusted without additional overhead.
* Reconcile and Post: Only the changes made during the session are pushed to thedefault version, and unnecessary rows are avoided.
3. Why Not Other Options?
* Traditional Versioning with Archiving Option:
* Archiving tracks historical changes, creating additional rows for each edit in the archive tables.
This increases storage and processing overhead.
* Branch Versioning:
* Branch versioning stores all changes in a single table and is designed for web services workflows.
It may not minimize row creation compared to traditional versioning.
Steps for the Workflow:
* EnableTraditional Versioningfor the target dataset without enabling archiving.
* Load the large dataset into a new version created for this purpose.
* Verify the data quality by querying and editing the version.
* Reconcile the version with the default version, resolve conflicts, and post changes to default.
References from Esri Documentation and Learning Resources:
* Understanding Traditional Versioning
* Archiving in Enterprise Geodatabases
* Branch Versioning vs. Traditional Versioning
Conclusion:
UsingTraditional versioning without the archiving optionensures the creation of the fewest number of rows while maintaining data integrity and supporting the described workflow.


NEW QUESTION # 70
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