QUESTION: 29

An enterprise geodatabase is regularly updated via a "push" batch SQL process from a federated database. Business rules prevent a one-to-one match in the values in INSERT values for one field. The GIS administrator must make sure that the attribute value in the geodatabase is populated correctly.
Which option should the administrator use?

Attribute rule
DBMS trigger
Spatial view

Answer(s): A

Explanation:

Understanding the Scenario:
The enterprise geodatabase receives regular updates through a "push" SQL process from a federated database.
Business rules require transformations or corrections to attribute values during the data insertion process.
The GIS administrator needs a mechanism to ensure that attribute values adhere to these rules.
Options Overview:
Attribute Rule:
Attribute rules can enforce data integrity by applying calculations or constraints during data editing. With calculation rules, attribute values can be automatically derived based on specific logic, ensuring that values comply with business rules.

DBMS Trigger:
DBMS triggers execute procedures when database events occur (e.g., an insert). However, they are managed outside of the geodatabase environment, making them less integrated with ArcGIS workflows.
Spatial View:
A spatial view combines spatial and nonspatial data but does not enforce or modify attribute values during data loading or editing.
Steps to Configure an Attribute Rule:
Define a calculation attribute rule on the field requiring transformation. Specify the logic to derive or validate the attribute value based on the business rules.
Apply the rule to the dataset.
As data is inserted, the rule ensures values are updated or corrected automatically.

Reference:

Esri Documentation: Attribute Rules.
Attribute Rule Types: Best practices for using calculation and validation rules in enterprise geodatabases.
Why the Correct Answer is A:
Attribute rules are specifically designed to manage attribute values and ensure compliance with business logic during data editing. DBMS triggers are external and less geodatabase-centric, while spatial views do not support value transformations during insertion.

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QUESTION: 30

A GIS administrator needs to convert an existing database into a geodatabase. The new database has been created, but the repository owner has not been created. The GIS administrator has been given the database administrator credentials for this conversion to a geodatabase.
Which tool should the GIS administrator use?

Create Enterprise Geodatabase
Enable Geodatabase
Create Workflow Database

Answer(s): A

Explanation:

Understanding the Scenario:
A database exists but lacks the repository owner required for a geodatabase. The GIS administrator has database administrator credentials to set up the geodatabase.
Options Overview:
Create Enterprise Geodatabase:
This tool creates a geodatabase in a relational database. It sets up the repository owner and adds the required system tables, schema, and configurations.
Enable Geodatabase:
This tool enables geodatabase functionality in an existing database that already has the repository owner and structure. Since the repository owner is missing, this tool cannot be used.
Create Workflow Database:
This tool is unrelated to creating or enabling geodatabases. It is used for managing workflows in a production environment.
Steps to Use Create Enterprise Geodatabase:
Open the Create Enterprise Geodatabase tool in ArcGIS Pro. Provide the database connection information, including administrator credentials. Specify the authorization file for geodatabase licensing.
Run the tool to create the geodatabase.

Reference:

Esri Documentation: Create Enterprise Geodatabase.
Why the Correct Answer is A:
The Create Enterprise Geodatabase tool is specifically designed for initializing a geodatabase, including creating the repository owner and required system components. The other options are either not applicable or insufficient for the given scenario.

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QUESTION: 31

A GIS administrator needs all users to immediately see the edits that are made while editing a feature class.
Which configuration should be used?

Traditional versioned editing
Nonversioned editing
Branch versioned editing

Answer(s): B

Explanation:

Understanding the Scenario:
Edits made to a feature class need to be immediately visible to all users. This indicates a requirement for direct edits to the base tables without any versioning overhead.
Editing Configuration Overview:
Traditional Versioned Editing:
Edits are made to delta tables and require version reconciliation and posting to be visible to other users. This introduces a delay and does not meet the requirement for immediate visibility.
Nonversioned Editing:
Edits are applied directly to the base table of the feature class, ensuring they are immediately visible to all users. This is the correct choice for the scenario.
Branch Versioned Editing:
Edits are made in a branch version and are not immediately visible to other users unless the edits are saved to the default branch. This is not the best choice for immediate visibility.
Steps to Configure Nonversioned Editing:
Ensure the feature class is set to nonversioned editing mode in the enterprise geodatabase. Grant necessary permissions for all users to edit the base table. All edits made to the dataset will instantly reflect for all users.

Reference:

Esri Documentation: Nonversioned Editing.
Why the Correct Answer is B:
Nonversioned editing is the only configuration that ensures immediate visibility of edits to all users.

Traditional and branch versioning involve workflows that delay edit visibility.

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QUESTION: 32

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?

Run the Truncate Table tool and load data using Append
Delete all rows in the feature class and load data using Load Objects
Delete all rows in the feature class and load data using Append

Answer(s): 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.

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