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Passing the EGMP2201 Exam demonstrates that the candidate has the skills and knowledge required to manage geospatial data in complex enterprise environments. It is a valuable certification for professionals who work with geospatial data in government, academia, and private industry. Enterprise Geodata Management Professional 2201 certification is valid for three years, after which the candidate must recertify to maintain their status as an Enterprise Geodata Management Professional.
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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q64-Q69):
NEW QUESTION # 64
An enterprise geodatabase is regularly updated via a "push" batch SQL process from a federated database.
Business rules prevent a one-to-one match in the values in INSERT values for one field. The GIS administrator must make sure that the attribute value in the geodatabase is populated correctly. Which option should the administrator use?
- A. Attribute rule
- B. DBMS trigger
- C. Spatial view
Answer: A
Explanation:
Understanding the Scenario:
* The enterprise geodatabase receives regular updates through a "push" SQL process from a federated database.
* Business rules require transformations or corrections to attribute values during the data insertion process.
* The GIS administrator needs a mechanism to ensure that attribute values adhere to these rules.
Options Overview:
* Attribute Rule:
* Attribute rules can enforce data integrity by applying calculations or constraints during data editing.
* With calculation rules, attribute values can be automatically derived based on specific logic, ensuring that values comply with business rules.
* DBMS Trigger:DBMS triggers execute procedures when database events occur (e.g., an insert).
However, they are managed outside of the geodatabase environment, making them less integrated with ArcGIS workflows.
* Spatial View:A spatial view combines spatial and nonspatial data but does not enforce or modify attribute values during data loading or editing.
Steps to Configure an Attribute Rule:
* Define acalculation attribute ruleon the field requiring transformation.
* Specify the logic to derive or validate the attribute value based on the business rules.
* Apply the rule to the dataset.
* As data is inserted, the rule ensures values are updated or corrected automatically.
References:
* Esri Documentation: Attribute Rules.
* Attribute Rule Types: Best practices for using calculation and validation rules in enterprise geodatabases.
Why the Correct Answer is A:Attribute rules are specifically designed to manage attribute values and ensure compliance withbusiness logic during data editing. DBMS triggers are external and less geodatabase- centric, while spatial views do not support value transformations during insertion.
NEW QUESTION # 65
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. Nonversioned editing
- B. Traditional versioning
- C. Branch versioning
Answer: B
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 # 66
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 # 67
A GIS data administrator receives a request to create a database view that meets the following criteria:
* Data is combined from feature class and nonspatial table
* Source feature class is versioned
* Source is from a child version
* Needs to be dynamically updated
How should the view be created?
- A. On the versioned view and nonspatial table
- B. On the feature class and repository tables
- C. On the feature class and nonspatial table
Answer: A
Explanation:
Understanding the Scenario:
* The request involves creating a view that dynamically combines data from aversioned feature classand anonspatial table.
* The data needs to be from achild versionand updated dynamically.
Key Considerations:
* Versioned Feature Class:Standard feature classes in versioned geodatabases store edits in delta tables (adds and deletes). Accessing data from a specific version requires using theversioned view, which includes these edits.
* Dynamic Updates:Views created on the versioned view ensure that the data reflects the most current version edits.
Steps to Create the View:
* Identify the versioned view for the feature class (created automatically during versioning).
* Create a SQL query to join the versioned view and the nonspatial table on the appropriate key(s).
* Save the SQL query as a database view.
References:
* Esri Documentation: Versioned Views.
* Creating Views with Versioned Data: Guidelines for joining versioned views with other tables in SQL.
Why the Correct Answer is C:Using the versioned view ensures that data reflects edits from the specified child version. Joining this view with the nonspatial table meets the requirement for dynamic updates. Options A and B would not provide data from the versioned child version dynamically.
NEW QUESTION # 68
A GIS analyst creates a database view. When the database view is loaded into the map, performance is suboptimal.
Which workflow should the analyst use?
- A. Export to shapefile
- B. Join to another feature class
- C. Register with geodatabase
Answer: C
Explanation:
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.
NEW QUESTION # 69
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