A wells feature class has one row per well. A well_inspections table has one row for each time a well was inspected. All inspection dates need to be displayed as labels clustered around each well on the map.
Which kind of association should be used to meet this requirement?
Answer : B
Scenario Overview:
The wells feature class has one row per well.
The well_inspections table has one row for each inspection of a well.
Inspection dates from the well_inspections table need to be displayed as labels clustered around each well on the map.
The goal is to establish a connection between these two datasets without permanently joining them, as the data is being displayed dynamically (inspection dates are clustered around the wells).
Relates in Geodatabases:
A relate is a type of table association in which tables are linked by a common key field but remain separate.
Relates allow for dynamic queries to retrieve related records without duplicating or permanently associating the data.
Using a relate, you can query all inspection dates for a specific well dynamically, display them on the map as labels, and preserve the integrity of both the wells and inspections datasets.
(ArcGIS Documentation: Relates)
Alternative Options:
Option A: Join
A join merges two tables into one virtual table, based on a shared key. However, this approach is static and inappropriate for displaying dynamically clustered labels since the tables would need to be rejoined after every update.
Option C: Relationship Class
A relationship class is a more permanent association that enforces rules between two datasets. It is ideal for maintaining relationships between data but is unnecessary for dynamically labeling inspection dates on the map.
Thus, a relate is the most efficient and appropriate option for this scenario.
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.
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.
An organization has ArcGIS Enterprise. A new project requires versioned editing with the ability to show which user deleted a feature from the default version.
Which editing workflow should be used?
Answer : A
Scenario Overview:
The organization has ArcGIS Enterprise and requires versioned editing.
The project mandates tracking which user deleted a feature from the default version.
Why Branch Versioned Editing?
Branch versioning supports versioned editing workflows and integrates seamlessly with editor tracking, including operations like tracking who deleted a feature.
It is ideal for web-based workflows in ArcGIS Enterprise and allows for direct interaction with feature services.
The default version remains accessible for analysis while enabling the organization to track user edits, including feature deletions. (ArcGIS Documentation: Branch Versioning)
Alternative Options:
Option B: Traditional versioned editing supports versioned workflows but does not inherently track who deletes features unless additional workflows are implemented (e.g., custom fields or triggers).
Option C: Nonversioned editing does not support versioning workflows or user tracking.
Thus, branch versioned editing is the best workflow to support versioned editing while tracking deleted features.
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?
Answer : A
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.
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.
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.
An editor connects to an enterprise geodatabase to edit a feature class that uses traditional versioning. The editor uses the following workflow:
* The Default version is set lo protected
* A new child version is created from Default
* The child version is set to protected
* Edits are saved to the child version
* The editor tries to reconcile and post to Default
The reconcile is successful, but the post operation fails with an error. What should the editor do?
Answer : B
In traditional versioning within an enterprise geodatabase, the Default version often represents the published state of the database. Setting the Default version to protected ensures that while all users can view it, only the geodatabase administrator or the version owner can edit it directly or post changes to it.
In the scenario provided, the editor follows these steps:
Default Version Set to Protected: This restricts editing and posting privileges to the geodatabase administrator or the version owner.
Creation of a Child Version from Default: The editor creates a new version branching from Default.
Child Version Set to Protected: This means only the editor (as the owner) or the geodatabase administrator can edit this child version.
Edits Saved to the Child Version: The editor makes and saves changes within this child version.
Attempt to Reconcile and Post to Default: The editor successfully reconciles but encounters an error during the post operation.
The error during the post operation arises because, with the Default version set to protected, the editor lacks the necessary permissions to post changes directly to it. Only the geodatabase administrator or the owner of the Default version possesses the authority to perform this action.
Analysis of Options:
Option A: Changing the access level of the child version from protected to public does not grant the editor the required permissions to post to the protected Default version.
Option B: Requesting the owner of the Default version (typically the geodatabase administrator) to perform the reconcile and post is appropriate. This individual has the necessary permissions to post changes to the protected Default version.
Option C: Creating a one-way replica and synchronizing is an unnecessary and complex approach for this situation.
Therefore, the editor should ask the owner of Default to perform the reconcile and post to ensure the changes are integrated into the Default version.