Best EGMP2201 Study Material - Enterprise Geodata Management Professional 2201 Realistic Advanced Testing Engine

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Esri EGMP2201 certification exam is a comprehensive and challenging exam that covers a wide range of topics related to geodata management. EGMP2201 exam consists of 100 multiple-choice questions and must be completed within three hours. The questions are designed to test the candidates' understanding of geodata management principles and their ability to apply these principles in real-world scenarios.

Esri EGMP2201 (Enterprise Geodata Management Professional 2201) Exam is a certification program designed for professionals who are interested in becoming experts in enterprise geodata management. Enterprise Geodata Management Professional 2201 certification is offered by Esri, a leading provider of geographic information systems (GIS) software and solutions. The EGMP2201 Exam focuses on testing the candidate’s knowledge and expertise in managing and administering enterprise geodata.

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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q31-Q36):

NEW QUESTION # 31
A GIS data administrator frequently changes the map based on definition queries. A noticeable lag occurs when changing the parameter value of the definition query.
Which action should be taken?

A. Add Attribute Index
B. Add Spatial Index
C. Recalculate Extent

Answer: A

Explanation:
Scenario Overview:
* The GIS data administrator is experiencinglagwhen changing the parameter value of adefinition query.
* Definition queries dynamically filter data based on attribute values. Slow performance often indicates inefficient attribute searches.
Solution: Add Attribute Index
* Anattribute indexallows the database to quickly locate rows based on values in the indexed column, significantly improving query performance.
* When definition queries rely on non-indexed fields, the database must scan the entire dataset to filter records, leading to noticeable delays.
* By creating an attribute index on the fields used in the definition query, the database can optimize filtering, reducing lag.(ArcGIS Documentation: Attribute Indexes) Steps to Add Attribute Index:
* In ArcGIS Pro, open theAttribute Indexestool.
* Select thefeature class or tableused in the definition query.
* Specify the field(s) that the definition query is based on.
* ClickRunto create the index.
Alternative Options:
* Option B: Add Spatial Index
* Spatial indexes optimize spatial queries (e.g., finding features within an area). This does not address attribute-based definition query lag.
* Option C: Recalculate Extent
* Recalculating the extent corrects boundary discrepancies in spatial datasets but has no impact on attribute query performance.
Thus, adding anattribute indexis the correct action to resolve lag in definition queries.

NEW QUESTION # 32
An editor is loading records from a shapefile to a feature class that is registered as versioned using the following workflow:
* Create a child version from Default
* Append 500,000 records while connected to the child version
* Reconcile and post the child version to Default
The reconcile is taking a long time to complete.
What is causing this issue?

A. The new child version was not included in the Compress operation
B. Conflicting edits need to be resolved
C. Default was updated since the new child version was created

Answer: C

Explanation:
Understanding the Scenario:
* Records are being appended to a child version of a feature class registered as versioned.
* Reconcile and post are taking longer than expected, suggesting complications during version synchronization.
Key Considerations for Reconciliation Performance:
* Conflicting Edits (Option A):Reconciliation time increases if there are many conflicts to resolve.
However, the question does not mention concurrent edits in Default or other child versions, making conflicts less likely to be the main issue.
* Updates in Default (Option B):If Default has been updated since the child version was created, the reconcile process must account for changes in Default. This can significantly increase processing time as it integrates the child version changes with the modifications in Default.
* Compress Operation (Option C):The Compress operation removes redundant states in the geodatabase but does not directly affect reconciliation speed. The question does not indicate that the child version is excluded from compression or that compression is related to the delay.
Steps to Improve Reconciliation Performance:
* Minimize edits to Default during the child version's workflow.
* Reconcile frequently to avoid large differences between Default and the child version.
* Ensure that Compress operations are run regularly to optimize geodatabase state management.
References:
* Esri Documentation: Reconcile and Post.
* Versioning Best Practices: Guidance on managing Default and child versions to minimize reconcile conflicts.
Why the Correct Answer is B:The delay occurs because Default was updated after the child version was created. The reconciliation process must merge changes from Default with those in the child version, increasing processing time. Conflicts (A) are not mentioned, and compress operations (C) do not directly cause reconciliation delays.

NEW QUESTION # 33
A GIS data administrator needs to store color, model, and size attributes for different kinds of valves. Pick lists should only show permitted combinations of color, model, and size.
Which geodatabase capability should be configured?

A. Domains
B. Contingent values
C. Subtypes with domains

Answer: B

Explanation:
Scenario Overview:
* The administrator needs to store attributes for valves (e.g., color, model, and size).
* Pick listsmust display only valid combinations of these attributes.
Why Contingent Values?
* Contingent valuesallow geodatabases to enforce specific, dependent attribute combinations.
* For example, if certain sizes are only valid for specific models and colors, contingent values ensure only permitted combinations are displayed in pick lists.(ArcGIS Documentation: Contingent Values) How Contingent Values Work:
* Attribute domains are defined for individual fields (e.g., color, model, size).
* Contingent value rules are configured to establish relationships between the fields, restricting invalid combinations.
* When editing data, pick lists dynamically adjust based on contingent value rules, showing only valid options.
Alternative Options:
* Option A: Domains
* Attribute domains enforce constraints on individual fields but cannot define dependencies between fields.
* Option B: Subtypes with domains
* Subtypes group features into categories with distinct domain rules but do not support interdependent attribute combinations.
Thus,contingent valuesare the appropriate geodatabase capability to configure pick lists for valid attribute combinations.

NEW QUESTION # 34
A GIS database administrator needs to identify any performance issues with a nightly load process. Upon further research, the database administrator discovers the following:
* A table with 20 million rows is reloaded each night
* This existing table is truncated before an Append is executed
* There are three attributes in addition to objectid and geometry, one of which is a unique text identifier
* The unique index is removed before Append and created again after Append
* The Append operation takes 120 minutes to complete
What should the administrator recommend?

A. Remove the spatial index before Append
B. Add a unique key index before Append
C. Remove the objectid index before Append

Answer: A

Explanation:
Understanding the Scenario:The database administrator wants to improve the performance of a nightly data load process, which involves truncating and appending a large table with geometry and several attributes. The current Append operation takes 120 minutes, and indexes are re-created after the data is loaded.
Identifying the Bottleneck:
* Spatial indexes speed up query performance but can significantly slow down data loading operations like Append.
* When loading large datasets, maintaining the spatial index during the operation forces constant updates, leading to performance degradation.
Recommended Optimization:
* Removing the Spatial Index:
* Before the Append operation, drop the spatial index to eliminate overhead during data insertion.
* After the Append operation completes, recreate the spatial index to restore query performance.
* This approach ensures that the Append process only focuses on inserting records without additional computational load from maintaining the spatial index.
Steps to Implement the Recommendation:
* Drop the spatial index using the appropriate database management command or tool.
* Execute the Append process.
* Rebuild the spatial index once the Append process is complete.
References:
* Esri Documentation: Best practices for large data loads: Managing Indexes.
* Spatial Index Concepts: Understanding how spatial indexes impact data loading operations.
Why the Correct Answer is B:Removing the spatial index before appending large datasets can significantly reduce the time required for data insertion. Options A (removing the objectid index) and C (adding a unique key index) are irrelevant because the objectid index is system-managed and the unique key index creation would not improve the performance of the Append operation.

NEW QUESTION # 35
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. Branch versioning
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 # 36
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