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Esri EGMP2201 exam is a comprehensive certification exam designed to assess the skills and knowledge of professionals in the field of enterprise geodata management. EGMP2201 exam is designed to evaluate the competence of professionals in the effective management of geospatial data in a large organization or enterprise-level setting. EGMP2201 exam is developed and administered by Esri, a leading provider of geographic information systems (GIS) software and solutions.

The EGMP2201 Exam is a comprehensive test that covers a broad range of skills and knowledge related to enterprise geodatabase management. EGMP2201 exam covers topics such as geodatabase design, data modeling, data loading, database administration, and security. Successful completion of the exam validates that you have the technical skills and knowledge required to manage enterprise geodatabases.

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Esri EGMP2201 Certification Exam consists of multiple-choice questions designed to test candidates on their practical knowledge and skills in managing and administering Enterprise Geodatabases. EGMP2201 exam is widely considered to be rigorous and challenging, requiring candidates to demonstrate a strong understanding of the subject matter. Enterprise Geodata Management Professional 2201 certification program is highly recommended for GIS professionals who are interested in career advancement in the field of geospatial data management.

Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q46-Q51):

NEW QUESTION # 46
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. Change to use Default version
B. Update records via Python
C. Reconcile and post versions

Answer: C

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 # 47
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 Spatial Index
B. Add Attribute Index
C. Recalculate Extent

Answer: B

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 # 48
AGIS data administrator needs to prepare data for use in offline workflows.
Which database operation must the data administrator perform?

A. Add global IDs
B. Enable archiving
C. Enable sync

Answer: C

Explanation:
Scenario Overview:
The GIS data administrator needs to prepare data for offline workflows.
Offline workflows allow users to take data offline for use in disconnected environments, typically for field operations.
Why Enable Sync?
Sync must be enabled on the feature service to allow offline workflows. This capability ensures that edits made offline can later be synchronized with the enterprise geodatabase.
When sync is enabled, data can be downloaded for offline use in supported applications like ArcGIS Field Maps, and changes can be synchronized back to the geodatabase.
(ArcGIS Documentation: Sync)
Alternative Options:
Option A: Enable Archiving
Archiving tracks historical edits but is not required for offline workflows.
Option B: Add Global IDs
While Global IDs are required for enabling sync, adding them alone does not fully configure the dataset for offline workflows.
Thus, to prepare data for offline workflows, the administrator must enable sync on the dataset.

NEW QUESTION # 49
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?

A. sdejayers
B. gdbjtems
C. table_registry

Answer: A

Explanation:
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.

NEW QUESTION # 50
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 feature class and nonspatial table
B. On the versioned view and nonspatial table
C. On the feature class and repository tables

Answer: B

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 # 51
......

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