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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q11-Q16):

NEW QUESTION # 11
A telecommunications company implements branch versioning for their organization. The default version is the published version that portal users see and editors can post edits to.
Which version access level should be set?

A. Private
B. Protected
C. Public

Answer: B

Explanation:
In a branch versioning workflow where thedefault versionis the published version that users see and editors can post edits to, setting the access level toProtectedis the best choice.
1. What Does the Protected Access Level Do?
* TheProtectedaccess level allows users to view and query the version but restricts editing to authorized users only.
* This ensures that only authorized editors can post changes to the default version, maintaining data integrity while allowing portal users to access the published version.
2. Why Not Other Options?
* Public:
* A public version allows anyone with appropriate permissions to edit the version. This could lead to uncontrolled changes and data integrity issues.
* Private:
* A private version restricts access to the version to only the owner and specific users, which is unsuitable when the default version is meant to be the published version visible to all portal users.
Steps to Configure Protected Access Level:
* OpenArcGIS ProorArcGIS Enterprise Manager.
* Navigate to the version management settings for the default version.
* Set theAccess LeveltoProtected.
* Ensure that editors with appropriate privileges are assigned to post changes to the default version.
References from Esri Documentation and Learning Resources:
* Version Access Levels in Branch Versioning
* Branch Versioning Workflows
Conclusion:
Setting the default version toProtectedensures a balance between providing access to portal users and restricting edits to authorized personnel.

NEW QUESTION # 12
A GIS data administrator needs to load a large amount of data into a version, verify its quality, and then reconcile and post this version to default. The data administrator needs to create the fewest number of rows in the database.
Which versioning method should be used?

A. Traditional versioning without the archiving option
B. Branch versioning
C. Traditional versioning with the archiving option

Answer: A

Explanation:
To minimize the number of rows created in the database while performing versioning workflows (loading, quality checking, reconciling, and posting),Traditional versioning without the archiving optionis the best choice.
1. Traditional Versioning Without Archiving
* This method stores edits indelta tables(Adds and Deletes) rather than directly in the base table.
* Without the archiving option, the system does not create additional rows to track historical changes, which helps reduce the number of rows.
2. Why It's Ideal for This Workflow
* Load Data: Data is directly inserted into the delta tables, keeping base tables untouched.
* Quality Verification: Edits can be reviewed and adjusted without additional overhead.
* Reconcile and Post: Only the changes made during the session are pushed to thedefault version, and unnecessary rows are avoided.
3. Why Not Other Options?
* Traditional Versioning with Archiving Option:
* Archiving tracks historical changes, creating additional rows for each edit in the archive tables.
This increases storage and processing overhead.
* Branch Versioning:
* Branch versioning stores all changes in a single table and is designed for web services workflows.
It may not minimize row creation compared to traditional versioning.
Steps for the Workflow:
* EnableTraditional Versioningfor the target dataset without enabling archiving.
* Load the large dataset into a new version created for this purpose.
* Verify the data quality by querying and editing the version.
* Reconcile the version with the default version, resolve conflicts, and post changes to default.
References from Esri Documentation and Learning Resources:
* Understanding Traditional Versioning
* Archiving in Enterprise Geodatabases
* Branch Versioning vs. Traditional Versioning
Conclusion:
UsingTraditional versioning without the archiving optionensures the creation of the fewest number of rows while maintaining data integrity and supporting the described workflow.

NEW QUESTION # 13
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?

A. On the feature class and repository tables
B. On the versioned view and nonspatial table
C. On the feature class and nonspatial table

Answer: B

Explanation:
Understanding the Scenario:
* The request involves creating a view that dynamically combines data from aversioned feature classand anonspatial table.
* The data needs to be from achild versionand 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 theversioned 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.
References:
* 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.

NEW QUESTION # 14
A GIS administrator learns that geodatabase users report decreasing performance when adding data from child versions to their map.
* The organization uses a complex traditional version tree architecture
* Python script completes batch-reconcile/post operations, compresses the geodatabase, and data owners rebuild indexes and update statistics
* Python script runs overnight with little to no geodatabase connections being made Which Analyze Datasets parameter should be checked?

A. Include System Tables
B. Analyze Archive Tables For Selected Datasets
C. Analyze Base Tables For Selected Datasets

Answer: C

Explanation:
When users experience performance issues while adding data from child versions in a complex traditional version tree, it often indicates problems with thebase tables. TheAnalyze Base Tables For Selected Datasets parameter is the most relevant in this case.
1. Role of Base Tables in Traditional Versioning
* In traditional versioning, thebase tablestores the original data for the feature class or table. Changes made in child versions are tracked in delta tables (Adds and Deletes).
* If the base table is not optimized (e.g., outdated statistics, fragmented indexes), performance can degrade when querying or rendering data.
2. Why Analyze Base Tables?
* TheAnalyze Base Tables For Selected Datasetsparameter evaluates and updates the database statistics for the base tables to improve query optimization.
* This process ensures the database query optimizer can make efficient decisions when retrieving data.
3. Why Not Other Options?
* Include System Tables:
* This analyzes geodatabase system tables, which are crucial for administrative tasks but unrelated to performance issues with user datasets.
* Analyze Archive Tables For Selected Datasets:
* This is specific to datasets with archiving enabled. There is no mention of archiving being used in this scenario.
Steps to Analyze Base Tables:
* OpenArcGIS Proor use a Python script with theAnalyze Datasetstool.
* Specify the datasets with performance issues.
* Select theAnalyze Base Tables For Selected Datasetsparameter.
* Run the tool and monitor the updated statistics.
References from Esri Documentation and Learning Resources:
* Analyze Datasets Tool
* Improving Query Performance
Conclusion:
TheAnalyze Base Tables For Selected Datasetsparameter should be used to update statistics and improve performance when adding data from child versions in traditional versioning.

NEW QUESTION # 15
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. Traditional versioned data with edits performed
B. Nonversioned feature class that is partitioned
C. Archiving enabled on the feature class

Answer: A

Explanation:
The issue arises becausetraditional versioned datastores edits indelta 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.
1. How Traditional Versioning Affects Updates
* In traditional versioning, edits are recorded in delta tables:
* A_<ObjectID> (Adds): Tracks newly inserted rows.
* D_<ObjectID> (Deletes): Tracks deleted rows.
* When SQL commands are executed directly on the base table, they do not affect the data in the delta tables, which causes the feature class to reflect incomplete updates.
2. Why Not Other Options?
* Nonversioned Feature Class that is Partitioned:
* Partitioning organizes data for performance optimization but does not interfere with SQL commands updating the entire table.
* Archiving Enabled on the Feature Class:
* Archiving tracks historical changes in separate archive tables but does not directly impact SQL commands on the feature class.
Steps to Resolve the Issue:
* For traditional versioned data, use thereconcile and postprocess to update values. This ensures that changes are correctly applied across delta tables and the base table.
* Alternatively, use tools likeArcGIS ProorArcPyto programmatically update data instead of executing direct SQL commands.
References from Esri Documentation and Learning Resources:
* Traditional Versioning Overview
* Delta Tables and Traditional Versioning
Conclusion:
The issue occurs because the data istraditional versioned, and direct SQL commands do not account for the delta tables where edits are stored. Use the reconcile and post workflow or ArcGIS tools to apply updates correctly.

NEW QUESTION # 16
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