Practice Free EGMP2201 Exam Online Questions
Question #21
A GIS analyst creates a join relationship between a large dataset and a nonspatial table to calculate an attribute field. Upon building the join, the analyst receives an error message stating that the join field <value> in the join table <value> is not indexed.
Which tool should the analyst run?
- A . Add Spatial Index
- B . Add Attribute Index
- C . Rebuild Indexes
Correct Answer: B
B
Explanation:
Scenario Overview:
The analyst creates a join between a large dataset and a nonspatial table to calculate an attribute field.
An error occurs, indicating that the join field is not indexed.
Cause of the Problem:
Joins between datasets rely on indexed fields to optimize the join operation. Without an index, the
system must perform a full table scan, which can lead to errors or slow performance when working
with large datasets.
Solution:
Running the Add Attribute Index tool creates an index on the join field, enabling efficient joining operations.
(ArcGIS Documentation: Attribute Indexes)
Steps to Resolve:
Open the Add Attribute Index tool in ArcGIS Pro.
Select the nonspatial table as the input dataset.
Choose the field used in the join operation as the field to index.
Run the tool to create the attribute index.
Alternative Options:
Option A: Add Spatial Index is irrelevant for nonspatial data.
Option C: Rebuild Indexes reorganizes existing indexes but cannot create new ones, which is required here.
Thus, the analyst should run the Add Attribute Index tool to resolve the error.
B
Explanation:
Scenario Overview:
The analyst creates a join between a large dataset and a nonspatial table to calculate an attribute field.
An error occurs, indicating that the join field is not indexed.
Cause of the Problem:
Joins between datasets rely on indexed fields to optimize the join operation. Without an index, the
system must perform a full table scan, which can lead to errors or slow performance when working
with large datasets.
Solution:
Running the Add Attribute Index tool creates an index on the join field, enabling efficient joining operations.
(ArcGIS Documentation: Attribute Indexes)
Steps to Resolve:
Open the Add Attribute Index tool in ArcGIS Pro.
Select the nonspatial table as the input dataset.
Choose the field used in the join operation as the field to index.
Run the tool to create the attribute index.
Alternative Options:
Option A: Add Spatial Index is irrelevant for nonspatial data.
Option C: Rebuild Indexes reorganizes existing indexes but cannot create new ones, which is required here.
Thus, the analyst should run the Add Attribute Index tool to resolve the error.
Question #22
An organization needs to distribute data to a regional office. The regional office does not have ArcGIS Enterprise orArcGIS Online accounts. The regional office also does not have access to an enterprise geodatabase.
Which data distribution solution should be used?
- A . Geodatabase replication
- B . Distributed collaboration
- C . Partnered collaborations
Correct Answer: A
A
Explanation:
Understanding the Scenario:
The regional office lacks access to ArcGIS Enterprise, ArcGIS Online accounts, or an enterprise geodatabase.
Data must be distributed in a format that the regional office can use independently of enterprise-level systems.
Data Distribution Solutions Overview: Geodatabase Replication:
Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.
Replicas can be set up in a disconnected mode, enabling regional offices to work with the data offline.
Distributed Collaboration:
Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.
Partnered Collaborations:
Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.
Steps to Implement Geodatabase Replication:
Create a one-way replica of the data in a format compatible with the regional office’s systems (e.g., file geodatabase).
Transfer the replica to the regional office via portable media or secure file sharing.
Set up periodic updates if the data needs to be refreshed.
Reference: Esri Documentation: Geodatabase Replication.
Disconnected Workflows: Best practices for sharing data in offline environments.
Why the Correct Answer is A:
Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.
A
Explanation:
Understanding the Scenario:
The regional office lacks access to ArcGIS Enterprise, ArcGIS Online accounts, or an enterprise geodatabase.
Data must be distributed in a format that the regional office can use independently of enterprise-level systems.
Data Distribution Solutions Overview: Geodatabase Replication:
Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.
Replicas can be set up in a disconnected mode, enabling regional offices to work with the data offline.
Distributed Collaboration:
Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.
Partnered Collaborations:
Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.
Steps to Implement Geodatabase Replication:
Create a one-way replica of the data in a format compatible with the regional office’s systems (e.g., file geodatabase).
Transfer the replica to the regional office via portable media or secure file sharing.
Set up periodic updates if the data needs to be refreshed.
Reference: Esri Documentation: Geodatabase Replication.
Disconnected Workflows: Best practices for sharing data in offline environments.
Why the Correct Answer is A:
Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.
Question #22
An organization needs to distribute data to a regional office. The regional office does not have ArcGIS Enterprise orArcGIS Online accounts. The regional office also does not have access to an enterprise geodatabase.
Which data distribution solution should be used?
- A . Geodatabase replication
- B . Distributed collaboration
- C . Partnered collaborations
Correct Answer: A
A
Explanation:
Understanding the Scenario:
The regional office lacks access to ArcGIS Enterprise, ArcGIS Online accounts, or an enterprise geodatabase.
Data must be distributed in a format that the regional office can use independently of enterprise-level systems.
Data Distribution Solutions Overview: Geodatabase Replication:
Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.
Replicas can be set up in a disconnected mode, enabling regional offices to work with the data offline.
Distributed Collaboration:
Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.
Partnered Collaborations:
Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.
Steps to Implement Geodatabase Replication:
Create a one-way replica of the data in a format compatible with the regional office’s systems (e.g., file geodatabase).
Transfer the replica to the regional office via portable media or secure file sharing.
Set up periodic updates if the data needs to be refreshed.
Reference: Esri Documentation: Geodatabase Replication.
Disconnected Workflows: Best practices for sharing data in offline environments.
Why the Correct Answer is A:
Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.
A
Explanation:
Understanding the Scenario:
The regional office lacks access to ArcGIS Enterprise, ArcGIS Online accounts, or an enterprise geodatabase.
Data must be distributed in a format that the regional office can use independently of enterprise-level systems.
Data Distribution Solutions Overview: Geodatabase Replication:
Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.
Replicas can be set up in a disconnected mode, enabling regional offices to work with the data offline.
Distributed Collaboration:
Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.
Partnered Collaborations:
Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.
Steps to Implement Geodatabase Replication:
Create a one-way replica of the data in a format compatible with the regional office’s systems (e.g., file geodatabase).
Transfer the replica to the regional office via portable media or secure file sharing.
Set up periodic updates if the data needs to be refreshed.
Reference: Esri Documentation: Geodatabase Replication.
Disconnected Workflows: Best practices for sharing data in offline environments.
Why the Correct Answer is A:
Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.
Question #22
An organization needs to distribute data to a regional office. The regional office does not have ArcGIS Enterprise orArcGIS Online accounts. The regional office also does not have access to an enterprise geodatabase.
Which data distribution solution should be used?
- A . Geodatabase replication
- B . Distributed collaboration
- C . Partnered collaborations
Correct Answer: A
A
Explanation:
Understanding the Scenario:
The regional office lacks access to ArcGIS Enterprise, ArcGIS Online accounts, or an enterprise geodatabase.
Data must be distributed in a format that the regional office can use independently of enterprise-level systems.
Data Distribution Solutions Overview: Geodatabase Replication:
Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.
Replicas can be set up in a disconnected mode, enabling regional offices to work with the data offline.
Distributed Collaboration:
Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.
Partnered Collaborations:
Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.
Steps to Implement Geodatabase Replication:
Create a one-way replica of the data in a format compatible with the regional office’s systems (e.g., file geodatabase).
Transfer the replica to the regional office via portable media or secure file sharing.
Set up periodic updates if the data needs to be refreshed.
Reference: Esri Documentation: Geodatabase Replication.
Disconnected Workflows: Best practices for sharing data in offline environments.
Why the Correct Answer is A:
Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.
A
Explanation:
Understanding the Scenario:
The regional office lacks access to ArcGIS Enterprise, ArcGIS Online accounts, or an enterprise geodatabase.
Data must be distributed in a format that the regional office can use independently of enterprise-level systems.
Data Distribution Solutions Overview: Geodatabase Replication:
Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.
Replicas can be set up in a disconnected mode, enabling regional offices to work with the data offline.
Distributed Collaboration:
Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.
Partnered Collaborations:
Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.
Steps to Implement Geodatabase Replication:
Create a one-way replica of the data in a format compatible with the regional office’s systems (e.g., file geodatabase).
Transfer the replica to the regional office via portable media or secure file sharing.
Set up periodic updates if the data needs to be refreshed.
Reference: Esri Documentation: Geodatabase Replication.
Disconnected Workflows: Best practices for sharing data in offline environments.
Why the Correct Answer is A:
Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.
Question #25
AGIS analyst who usesArcGIS Pro needs to reload data into a versioned feature class stored in a feature dataset. The feature class participates in a geodatabase topology.
Which steps should the GIS analyst take?
- A . Run the Truncate Table tool and load data using Append
- B . Delete all rows in the feature class and load data using Load Objects
- C . Delete all rows in the feature class and load data using Append
Correct Answer: A
A
Explanation:
Understanding the Scenario:
The feature class is versioned and participates in a geodatabase topology.
The goal is to reload data while maintaining versioning and topology integrity.
Key Considerations for Reloading Data: Truncate Table:
The Truncate Table tool efficiently deletes all rows in the feature class without logging individual row deletions in the geodatabase. It is the preferred method for clearing data while minimizing impact on performance.
Append Tool:
After truncating the table, the Append tool can load new data into the feature class, ensuring that the topology and versioning structure remain intact.
Avoiding Delete Rows:
Deleting rows manually logs each deletion in delta tables, leading to a potential performance bottleneck and unnecessary transaction logging, especially for versioned datasets. Geodatabase Topology Consideration:
Topology rules will need to be validated after reloading the data to ensure spatial integrity. Steps to Reload Data:
Use the Truncate Table tool to remove existing records.
Use the Append tool to load the new data into the feature class.
Validate the topology in the geodatabase to check for any errors after the reload.
Reference: Esri Documentation: Truncate Table.
Loading Data into Versioned Feature Classes: Best practices for versioned and topology-aware datasets.
Why the Correct Answer is A:
Running the Truncate Table tool ensures efficient data clearing, and using the Append tool maintains the geodatabase’s versioning and topology structure.
Options B and C involve unnecessary row-level deletions, which are inefficient and could disrupt the versioned workflow.
A
Explanation:
Understanding the Scenario:
The feature class is versioned and participates in a geodatabase topology.
The goal is to reload data while maintaining versioning and topology integrity.
Key Considerations for Reloading Data: Truncate Table:
The Truncate Table tool efficiently deletes all rows in the feature class without logging individual row deletions in the geodatabase. It is the preferred method for clearing data while minimizing impact on performance.
Append Tool:
After truncating the table, the Append tool can load new data into the feature class, ensuring that the topology and versioning structure remain intact.
Avoiding Delete Rows:
Deleting rows manually logs each deletion in delta tables, leading to a potential performance bottleneck and unnecessary transaction logging, especially for versioned datasets. Geodatabase Topology Consideration:
Topology rules will need to be validated after reloading the data to ensure spatial integrity. Steps to Reload Data:
Use the Truncate Table tool to remove existing records.
Use the Append tool to load the new data into the feature class.
Validate the topology in the geodatabase to check for any errors after the reload.
Reference: Esri Documentation: Truncate Table.
Loading Data into Versioned Feature Classes: Best practices for versioned and topology-aware datasets.
Why the Correct Answer is A:
Running the Truncate Table tool ensures efficient data clearing, and using the Append tool maintains the geodatabase’s versioning and topology structure.
Options B and C involve unnecessary row-level deletions, which are inefficient and could disrupt the versioned workflow.
Question #25
AGIS analyst who usesArcGIS Pro needs to reload data into a versioned feature class stored in a feature dataset. The feature class participates in a geodatabase topology.
Which steps should the GIS analyst take?
- A . Run the Truncate Table tool and load data using Append
- B . Delete all rows in the feature class and load data using Load Objects
- C . Delete all rows in the feature class and load data using Append
Correct Answer: A
A
Explanation:
Understanding the Scenario:
The feature class is versioned and participates in a geodatabase topology.
The goal is to reload data while maintaining versioning and topology integrity.
Key Considerations for Reloading Data: Truncate Table:
The Truncate Table tool efficiently deletes all rows in the feature class without logging individual row deletions in the geodatabase. It is the preferred method for clearing data while minimizing impact on performance.
Append Tool:
After truncating the table, the Append tool can load new data into the feature class, ensuring that the topology and versioning structure remain intact.
Avoiding Delete Rows:
Deleting rows manually logs each deletion in delta tables, leading to a potential performance bottleneck and unnecessary transaction logging, especially for versioned datasets. Geodatabase Topology Consideration:
Topology rules will need to be validated after reloading the data to ensure spatial integrity. Steps to Reload Data:
Use the Truncate Table tool to remove existing records.
Use the Append tool to load the new data into the feature class.
Validate the topology in the geodatabase to check for any errors after the reload.
Reference: Esri Documentation: Truncate Table.
Loading Data into Versioned Feature Classes: Best practices for versioned and topology-aware datasets.
Why the Correct Answer is A:
Running the Truncate Table tool ensures efficient data clearing, and using the Append tool maintains the geodatabase’s versioning and topology structure.
Options B and C involve unnecessary row-level deletions, which are inefficient and could disrupt the versioned workflow.
A
Explanation:
Understanding the Scenario:
The feature class is versioned and participates in a geodatabase topology.
The goal is to reload data while maintaining versioning and topology integrity.
Key Considerations for Reloading Data: Truncate Table:
The Truncate Table tool efficiently deletes all rows in the feature class without logging individual row deletions in the geodatabase. It is the preferred method for clearing data while minimizing impact on performance.
Append Tool:
After truncating the table, the Append tool can load new data into the feature class, ensuring that the topology and versioning structure remain intact.
Avoiding Delete Rows:
Deleting rows manually logs each deletion in delta tables, leading to a potential performance bottleneck and unnecessary transaction logging, especially for versioned datasets. Geodatabase Topology Consideration:
Topology rules will need to be validated after reloading the data to ensure spatial integrity. Steps to Reload Data:
Use the Truncate Table tool to remove existing records.
Use the Append tool to load the new data into the feature class.
Validate the topology in the geodatabase to check for any errors after the reload.
Reference: Esri Documentation: Truncate Table.
Loading Data into Versioned Feature Classes: Best practices for versioned and topology-aware datasets.
Why the Correct Answer is A:
Running the Truncate Table tool ensures efficient data clearing, and using the Append tool maintains the geodatabase’s versioning and topology structure.
Options B and C involve unnecessary row-level deletions, which are inefficient and could disrupt the versioned workflow.
Question #27
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 . Conflicting edits need to be resolved
- B . Default was updated since the new child version was created
- C . The new child version was not included in the Compress operation
Correct Answer: B
B
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.
Reference: 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.
B
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.
Reference: 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.
Question #28
A GIS administrator creates a SQL command to update values in a feature class. In a test environment, the command is run against the feature class table. All the values do not seem to get updated.
Which configuration is causing this issue?
- A . Nonversioned feature class that is partitioned
- B . Traditional versioned data with edits performed
- C . Archiving enabled on the feature class
Correct Answer: B
B
Explanation:
The issue arises because traditional versioned data stores edits in delta tables (Adds and Deletes) instead of the base table. SQL updates applied directly to the base table bypass the delta tables, resulting in incomplete or inconsistent updates.
B
Explanation:
The issue arises because traditional versioned data stores edits in delta tables (Adds and Deletes) instead of the base table. SQL updates applied directly to the base table bypass the delta tables, resulting in incomplete or inconsistent updates.
Question #28
A GIS administrator creates a SQL command to update values in a feature class. In a test environment, the command is run against the feature class table. All the values do not seem to get updated.
Which configuration is causing this issue?
- A . Nonversioned feature class that is partitioned
- B . Traditional versioned data with edits performed
- C . Archiving enabled on the feature class
Correct Answer: B
B
Explanation:
The issue arises because traditional versioned data stores edits in delta tables (Adds and Deletes) instead of the base table. SQL updates applied directly to the base table bypass the delta tables, resulting in incomplete or inconsistent updates.
B
Explanation:
The issue arises because traditional versioned data stores edits in delta tables (Adds and Deletes) instead of the base table. SQL updates applied directly to the base table bypass the delta tables, resulting in incomplete or inconsistent updates.
Question #28
A GIS administrator creates a SQL command to update values in a feature class. In a test environment, the command is run against the feature class table. All the values do not seem to get updated.
Which configuration is causing this issue?
- A . Nonversioned feature class that is partitioned
- B . Traditional versioned data with edits performed
- C . Archiving enabled on the feature class
Correct Answer: B
B
Explanation:
The issue arises because traditional versioned data stores edits in delta tables (Adds and Deletes) instead of the base table. SQL updates applied directly to the base table bypass the delta tables, resulting in incomplete or inconsistent updates.
B
Explanation:
The issue arises because traditional versioned data stores edits in delta tables (Adds and Deletes) instead of the base table. SQL updates applied directly to the base table bypass the delta tables, resulting in incomplete or inconsistent updates.