Esri EGMP2201 Enterprise Geodata Management Professional 2201 Exam Practice Test

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Total 65 questions
Question 1

A GIS data administrator is unable to upgrade the geodatabase while editors have active sessions and are working on editing workflows.

What should the editors do?



Answer : B

Scenario Overview:

The GIS data administrator is unable to upgrade the geodatabase because editors have active sessions and are working on editing workflows.

Active connections lock the geodatabase, preventing upgrades or maintenance operations.

Solution:

Editors must disconnect from their active session to allow the geodatabase upgrade to proceed. Disconnecting ensures no locks are held on the database objects.

The administrator can also use Geodatabase Administration tools to manually disconnect all users if necessary. (ArcGIS Documentation: Disconnect Users)

Alternative Options:

Option A: Reconcile and post edit versions is unnecessary as the issue is related to active database sessions, not data versioning.

Option C: Saving edits and stopping editing sessions alone does not close the database connection, leaving locks in place.

Therefore, editors must disconnect from their active session for the geodatabase upgrade to proceed.


Question 2

AGIS data administrator is creating new feature classes within an enterprise geodatabase using the following workflow:

* Five feature classes are added to a feature dataset

* The feature dataset is registered as versioned without the move-edits-to-base option

* Then another feature class is added to the same feature dataset

Users receive error messages when trying to edit any of the feature classes within the feature dataset.

What should the administrator do?



Answer : A

Scenario Overview:

Five feature classes are added to a feature dataset, which is registered as versioned without the move-edits-to-base option.

Afterward, another feature class is added to the same feature dataset.

Users encounter errors when trying to edit any feature class in the feature dataset.

Cause of the Problem: When a feature dataset is registered as versioned, all feature classes within it must maintain consistency in their versioning state. Adding a new feature class to a previously versioned feature dataset can disrupt the synchronization, causing errors during editing.

Solution:

Unregister as versioned on the feature dataset: This removes versioning from all feature classes in the dataset, resetting their versioning state.

Register the feature dataset as versioned again: This ensures all feature classes, including the newly added one, are correctly registered with the same versioning state. (ArcGIS Documentation: Registering Datasets as Versioned)

Alternative Options:

Option B: Registering the feature dataset again would not resolve the issue because versioning conflicts persist unless the entire feature dataset is unregistered and re-registered.

Option C: Switching to the move-edits-to-base option is unnecessary and alters the editing workflow, which may not align with the current setup or user needs.

Thus, the administrator should unregister the feature dataset as versioned and re-register it to resolve the errors.


Question 3

A GIS data manager observes that editors spend multiple hours resolving conflicts when they reconcile.

* Conflicts are detected by attribute

* Traditional versioning is being used

* The geodatabase is being compressed weekly

* Versions are reconciled and posted weekly

Which change will result in fewer conflicts?



Answer : C

Scenario Overview:

Editors are spending multiple hours resolving conflicts during reconciliation.

Key points:

Conflicts are detected by attribute (not by object).

Traditional versioning is used.

Weekly compression and weekly reconcile/post workflows are in place.

Why Reconcile and Post Daily?

Conflicts occur when multiple editors make overlapping edits. The longer versions remain unreconciled, the more conflicts accumulate, leading to time-consuming resolution.

Daily reconciliation and posting minimizes the number of changes between the parent and child versions, reducing the likelihood and volume of conflicts.

(ArcGIS Documentation: Reconcile and Post)

Key Benefits of Daily Reconciliation:

Fewer Changes to Compare: With fewer edits accumulated in each version, conflict detection is faster.

Less Complex Conflicts: Simplifies resolution since changes are smaller and more recent.

Improved Editor Productivity: Editors spend less time resolving conflicts, freeing up time for other tasks.

Alternative Options:

Option A: Detect conflicts by object

While this may reduce conflict granularity, it can lead to overwriting valid edits at the object level, which may not be acceptable in collaborative workflows.

Option B: Compress the geodatabase daily

Compression reduces the state tree and improves performance but does not directly reduce the number of conflicts during reconciliation.

Therefore, implementing daily reconciliation and posting is the most effective way to reduce conflicts and improve editing efficiency.


Question 4

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?



Answer : C

Understanding the Scenario:

The request involves creating a view that dynamically combines data from a versioned feature class and a nonspatial table.

The data needs to be from a child version and 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 the versioned 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.

Reference:

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.


Question 5

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?



Answer : A

Scenario Overview:

The GIS data administrator is experiencing lag when changing the parameter value of a definition query.

Definition queries dynamically filter data based on attribute values. Slow performance often indicates inefficient attribute searches.

Solution: Add Attribute Index

An attribute index allows 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 the Attribute Indexes tool.

Select the feature class or table used in the definition query.

Specify the field(s) that the definition query is based on.

Click Run to 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 an attribute index is the correct action to resolve lag in definition queries.


Question 6

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?



Answer : A

To determine if the Adds and Deletes tables for the 'Buildings' dataset are empty before unregistering as versioned, the GIS administrator needs to reference the sde_layers table.

1. Purpose of the sde_layers Table

The sde_layers table 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 the ObjectID of the Buildings dataset in the sde_layers table.

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.

Reference from Esri Documentation and Learning Resources:

Compressing a Geodatabase---ArcGIS Pro Documentation

Delta Tables in Versioned Geodatabases

Conclusion:

The GIS administrator must query the sde_layers table to verify the Adds and Deletes tables before unregistering the dataset as versioned.


Question 7

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?



Answer : A

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.


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Total 65 questions