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Esri EGMP2201 PDF | Practice EGMP2201 Questions

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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q40-Q45):

NEW QUESTION # 40
Slow performance is observed on a query of an indexed attribute on a large feature class in an enterprise geodatabase.
* A SOL trace reveals that the attribute index is not being used in the query
* The indexed attribute values have a high degree of uniqueness
* The delta tables do not have very many rows
Which tool should be used to resolve this issue?

A. Analyze Datasets
B. Compress Geodatabase
C. Rebuild Indexes

Answer: C

Explanation:
When experiencing slow performance on a query of an indexed attribute in a large feature class within an enterprise geodatabase, and a SQL trace reveals that the attribute index is not being utilized despite the attribute values having a high degree of uniqueness and the delta tables containing few rows, the appropriate action is to rebuild the indexes.
Understanding Indexes in Enterprise Geodatabases:
Indexes are critical for enhancing query performance in databases. They allow the database management system (DBMS) to locate and retrieve data efficiently. Over time, as data is inserted, updated, or deleted, indexes can become fragmented or outdated, leading to suboptimal query performance.
ARCGIS PRO
Rebuilding Indexes:
The Rebuild Indexes tool in ArcGIS Pro is designed to rebuild existing attribute or spatial indexes in enterprise geodatabases. This process reorganizes the index structure, ensuring that the DBMS can effectively utilize the indexes during query execution.
ARCGIS PRO
Steps to Rebuild Indexes:
Access the Rebuild Indexes Tool:
In ArcGIS Pro, navigate to the Analysis tab and click on Tools.
In the Geoprocessing pane, search for and select the Rebuild Indexes tool.
Configure the Tool Parameters:
Input Database Connection: Specify the connection to your enterprise geodatabase.
Include System Tables: Decide whether to include system tables in the rebuild process. Including system tables can help maintain the overall health of the geodatabase but may increase processing time.
Execute the Tool:
Click Run to initiate the index rebuilding process. Monitor the progress and ensure the process completes without errors.
Alternative Options:
Compress Geodatabase: The Compress operation reduces the size of the geodatabase by removing redundant states and versions. While it can improve performance, it doesn't directly address index fragmentation.
Analyze Datasets: The Analyze Datasets tool updates database statistics, which helps the DBMS optimize query execution plans. However, if indexes are fragmented, analyzing datasets alone may not resolve performance issues.
Given the symptoms described-specifically, the attribute index not being used in queries-the most effective solution is to rebuild the indexes to ensure they are properly structured and utilized by the DBMS during query execution.

NEW QUESTION # 41
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. Join to another feature class
B. Export to shapefile
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 # 42
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. table_registry
B. sdejayers
C. gdbjtems

Answer: B

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 # 43
A GIS administrator needs to make a synchronized copy of a branch versioned dataset. Editing must be performed on both copies.
How should the data be replicated?

A. Distributed collaboration
B. DBMS replication
C. Geodatabase replication

Answer: C

Explanation:
Scenario Overview:
* The GIS administrator needs to create asynchronized copyof a branch versioned dataset.
* Both copies must allowediting.
Why Geodatabase Replication?
* Geodatabase replicationsupports the creation of synchronized copies of datasets while allowing edits in both the parent and child geodatabases.
* Forbranch versioned data, replication ensures that edits made in either the parent or child geodatabase can be synchronized using a two-way replica.(ArcGIS Documentation: Geodatabase Replication) Key Features of Geodatabase Replication for This Scenario:
* Two-way replicationenables editing on both sides while synchronizing changes.
* Supportsbranch versioning, ensuring versioned workflows remain intact.
* Maintains schema consistency across both geodatabases.
Alternative Options:
* Option A: Distributed Collaboration
* Collaboration is suitable for sharing data across ArcGIS Enterprise environments but does not support active synchronization for editing on both sides.
* Option C: DBMS Replication
* DBMS-level replication handles raw data replication but does not preserve geodatabase-specific functionalities, such as branch versioning.
Thus,geodatabase replicationis the correct method for synchronizing and editing branch versioned datasets in both geodatabases.

NEW QUESTION # 44
A user in an organization is granted read/write access to the data. The user saves the username and password in a connection file for convenience. This user creates layer files that save visualization properties and organizes them in folders on the server for the viewers to access.
Which issue is caused by this workflow?

A. Viewers are provided with editing access
B. Viewers can add and delete fields
C. Viewers lose access to the data

Answer: A

Explanation:
Understanding the Scenario:
* A user saves a connection file withread/write credentialsand creates layer files for visualization.
* Viewers access these layer files, potentially exposing the saved credentials.
Key Issue with the Workflow:
* Saved Credentials in Connection File:Connection files can store usernames and passwords for convenience, but when shared, the credentials grant others the same level of access as the original user.
* Impact of Read/Write Credentials:Viewers can inadvertently perform edits (e.g., add/delete fields or modify data) because the layer files inherit the permissions of the stored connection file.
Steps to Resolve the Issue:
* Avoid saving credentials in the connection file or use a connection withread-only accessfor shared layers.
* Use proper publishing workflows to share layers with predefined permissions via feature or map services.
References:
* Esri Documentation: Sharing Layer Files.
* Managing User Access in ArcGIS: Best practices for securing connection files and controlling access levels.
Why the Correct Answer is C:Sharing layer files with stored credentials inadvertently grants viewers the same level of access as the user who created the connection file. This results in viewers being able to perform edits, violating intended data security policies.

NEW QUESTION # 45
......

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