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Esri EGMP2201 exam covers a broad range of topics, including data modeling, data quality, data storage, data retrieval, data analysis, and data sharing. EGMP2201 exam also tests the candidate's knowledge of Esri software products such as ArcGIS Server, ArcSDE, and ArcGIS Online. EGMP2201 Exam is designed to test the candidate's ability to design, implement, and maintain a geospatial data infrastructure that meets the needs of an enterprise.

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The EGMP2201 Exam covers a wide range of topics, including geodatabase design, data quality, data security, data sharing, and enterprise GIS architecture. EGMP2201 exam is designed to test the candidate's ability to manage geospatial data in complex enterprise environments, including multi-user editing, versioning, and replication.

Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q60-Q65):

NEW QUESTION # 60
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. Branch versioned with editor tracking
B. Versioned without move edits to base
C. Versioned with move edits to base

Answer: C

NEW QUESTION # 61
ArcGIS Pro users must be able to use the Undo and Redo buttons while editing a dataset. At the same time, SQL users must be able to edit this dataset.
How should the ArcGIS data administrator configure this dataset?

A. Branch versioning
B. Nonversioned editing
C. Traditional versioning

Answer: C

Explanation:
Understanding the Scenario:
* ArcGIS Pro users needUndo/Redo functionality, which is available in versioned workflows.
* SQL users also need to edit the dataset, requiring direct access to the database tables.
* These requirements point to a need for a versioning method that supports both ArcGIS client workflows and SQL-based edits.
Versioning Methods Overview:
* Nonversioned Editing:Nonversioned editing allows direct editing of the database but does not support Undo/Redo functionality in ArcGIS Pro, making it unsuitable for this scenario.
* Traditional Versioning:
* Supports Undo/Redo functionality for ArcGIS Pro users.
* Stores edits in delta tables (adds and deletes) to manage versions.
* SQL users can access and edit the base tables, making it compatible with their needs.
* Branch Versioning:Branch versioning supports modern workflows and web services but requires a service-based approach for editing. It does not allow direct SQL edits, making it unsuitable for this scenario.
Steps to Implement Traditional Versioning:
* Enable traditional versioning on the dataset in the enterprise geodatabase.
* Ensure appropriate permissions are set for SQL users to access and edit the base tables.
* ArcGIS Pro users will work in the versioned environment, allowing Undo/Redo operations during their edits.
References:
* Esri Documentation: Understanding Versioning.
* Traditional Versioning Concepts: Best practices for using traditional versioning with multiple user types.
Why the Correct Answer is B:Traditional versioning fulfills both requirements: Undo/Redo functionality for ArcGIS Pro users and SQL accessibility for direct edits.

NEW QUESTION # 62
A GIS administrator receives reports of slowing performance across the entire geodatabase. Users report that the time for edits to be made and drawing are affected when adding 10.000 records. Traditional versioning is being used.
The following processes are completed weekly:
* Rebuilding of indexes and statistics
* Geodatabase compress
* Remove orphaned connections
Which action should be taken?

A. Update records via Python
B. Reconcile and post versions
C. Change to use Default version

Answer: B

Explanation:
Scenario Overview:
* Users experienceslowing performanceacross 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 bloatedstate 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 toreconcile and post versions, ensuring the geodatabase state tree is optimized and performance is restored.

NEW QUESTION # 63
A database administrator needs to move the enterprise geodatabase to a new server. The new enterprise geodatabase must be kept intact.
Which process should be used?

A. Two-way replication
B. RDBMS export/import
C. Export to file geodatabase

Answer: B

Explanation:
To move an enterprise geodatabase to a new server while keeping it intact, theRDBMS export/importprocess is the appropriate method.
1. Why Use RDBMS Export/Import?
* Enterprise geodatabases are tightly integrated with the underlying RDBMS (e.g., SQL Server, PostgreSQL, Oracle). Exporting and importing the entire database ensures that:
* All geodatabase configurations (e.g., tables, indexes, metadata) are preserved.
* No data integrity is lost during the migration process.
* This method maintains the geodatabase's structure and relationships.
2. Why Not Other Options?
* Export to File Geodatabase:
* While exporting to a file geodatabase allows for data transfer, it does not preserve the enterprise geodatabase structure, including user permissions, versioning, and replication configurations.
* Two-Way Replication:
* Replication is designed for synchronizing data changes between geodatabases, not for moving an entire geodatabase to a new server. It may also leave some administrative configurations behind.
3. Steps for RDBMS Export/Import
* Export the Database:
* Use the RDBMS tools (e.g., pg_dump for PostgreSQL, SQL Server Management Studio) to create a full backup of the geodatabase.
* Ensure all related schemas, indexes, and metadata are included.
* Import to the New Server:
* Set up the RDBMS on the new server and configure it for enterprise geodatabases.
* Import the backup file to restore the geodatabase on the new server.
* Post-Migration Steps:
* Reconfigure connections in ArcGIS Pro or ArcGIS Server to point to the new geodatabase.
* Test to ensure all functionality works as expected.
References from Esri Documentation and Learning Resources:
* Backing Up and Restoring an Enterprise Geodatabase
* RDBMS Tools for Backup and Restore
Conclusion:
TheRDBMS export/importprocess ensures a complete migration of the enterprise geodatabase to a new server while preserving all configurations and data integrity.

NEW QUESTION # 64
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. Relationship class
B. Relate
C. Join

Answer: B

Explanation:
Scenario Overview:
The wells feature class has one row per well.
The well_inspections table has one row for each inspection of a well.
Inspection dates from the well_inspections table need to be displayed as labels clustered around each well on the map.
The goal is to establish a connection between these two datasets without permanently joining them, as the data is being displayed dynamically (inspection dates are clustered around the wells).
Relates in Geodatabases:
A relate is a type of table association in which tables are linked by a common key field but remain separate.
Relates allow for dynamic queries to retrieve related records without duplicating or permanently associating the data.
Using a relate, you can query all inspection dates for a specific well dynamically, display them on the map as labels, and preserve the integrity of both the wells and inspections datasets.
(ArcGIS Documentation: Relates)
Alternative Options:
Option A: Join
A join merges two tables into one virtual table, based on a shared key. However, this approach is static and inappropriate for displaying dynamically clustered labels since the tables would need to be rejoined after every update.
Option C: Relationship Class
A relationship class is a more permanent association that enforces rules between two datasets. It is ideal for maintaining relationships between data but is unnecessary for dynamically labeling inspection dates on the map.
Thus, a relate is the most efficient and appropriate option for this scenario.

NEW QUESTION # 65
......

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