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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q14-Q19):

NEW QUESTION # 14
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?

A. Enable Geodatabase
B. Create Workflow Database
C. Create Enterprise Geodatabase

Answer: C

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 theCreate Enterprise Geodatabasetool 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.
References:
* 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.

NEW QUESTION # 15
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. Analyze Base Tables For Selected Datasets
B. Analyze Archive Tables For Selected Datasets
C. Include System Tables

Answer: A

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 # 16
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?

A. Relationship class
B. Relate
C. Join

Answer: B

Explanation:
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.

NEW QUESTION # 17
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?

A. Compress the geodatabase daily
B. Reconcile and post versions daily
C. Detect conflicts by object

Answer: B

Explanation:
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.

NEW QUESTION # 18
A database administrator needs to move the enterprise geodatabase to a new server. The new enterprise geodatabase must be kept intact.
Which process should be used?

A. Export to file geodatabase
B. Two-way replication
C. RDBMS export/import

Answer: C

Explanation:
To move an enterprise geodatabase to a new server while keeping it intact, theRDBMS export/importprocess is the appropriate method.
1. Why Use RDBMS Export/Import?
* Enterprise geodatabases are tightly integrated with the underlying RDBMS (e.g., SQL Server, PostgreSQL, Oracle). Exporting and importing the entire database ensures that:
* All geodatabase configurations (e.g., tables, indexes, metadata) are preserved.
* No data integrity is lost during the migration process.
* This method maintains the geodatabase's structure and relationships.
2. Why Not Other Options?
* Export to File Geodatabase:
* While exporting to a file geodatabase allows for data transfer, it does not preserve the enterprise geodatabase structure, including user permissions, versioning, and replication configurations.
* Two-Way Replication:
* Replication is designed for synchronizing data changes between geodatabases, not for moving an entire geodatabase to a new server. It may also leave some administrative configurations behind.
3. Steps for RDBMS Export/Import
* Export the Database:
* Use the RDBMS tools (e.g., pg_dump for PostgreSQL, SQL Server Management Studio) to create a full backup of the geodatabase.
* Ensure all related schemas, indexes, and metadata are included.
* Import to the New Server:
* Set up the RDBMS on the new server and configure it for enterprise geodatabases.
* Import the backup file to restore the geodatabase on the new server.
* Post-Migration Steps:
* Reconfigure connections in ArcGIS Pro or ArcGIS Server to point to the new geodatabase.
* Test to ensure all functionality works as expected.
References from Esri Documentation and Learning Resources:
* Backing Up and Restoring an Enterprise Geodatabase
* RDBMS Tools for Backup and Restore
Conclusion:
TheRDBMS export/importprocess ensures a complete migration of the enterprise geodatabase to a new server while preserving all configurations and data integrity.

NEW QUESTION # 19
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