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Esri Enterprise Geodata Management Professional 2201 EGMP2201 Prüfungsfragen mit Lösungen (Q51-Q56):

51. Frage
All editors reconcile and post their versions daily. Other users create read-only versions for analysis purposes, so they do not reconcile and post those versions. The geodatabase administrator compresses the geodatabase nightly. For several months, performance steadily worsens.
Which action should be taken?

A. Reconcile the read-only versions
B. Disable editor tracking
C. Create a database view

Antwort: A

Begründung:
Scenario Overview:
Editors reconcile and post daily, but read-only versions created for analysis are not reconciled or posted.
The geodatabase is compressed nightly, but performance continues to degrade.
Cause of the Problem:
Unreconciled versions, including read-only ones, persist in the state tree, preventing the geodatabase compression from fully collapsing unused states.
Over time, this results in a bloated state tree and worsened performance.
Solution:
Reconciling and posting the read-only versions ensures that the state tree is cleared of unnecessary versions, enabling compression to collapse the database to its optimal state.
(ArcGIS Documentation: Reconcile and Post)
Alternative Options:
Option B: Creating a database view provides a read-only representation of data but does not address the underlying issue of unresolved states in the state tree.
Option C: Disabling editor tracking is unrelated to state tree performance issues and has no impact on the reconciliation or compression processes.
Therefore, reconciling the read-only versions will significantly improve performance.

52. Frage
A large government organization mandates that all departments establish an equivalent data presence in a standby data center.
Which technology should the GIS database administrator recommend?

A. Database replication
B. Disconnected synchronization
C. Geodatabase replication

Antwort: A

Begründung:
For a large government organization requiring an equivalent data presence in a standby data center,database replicationis the ideal solution.
1. What is Database Replication?
* Database replication involves duplicating data from a primary database to a secondary database in near real-time or on a scheduled basis.
* This ensures that both databases are synchronized and capable of serving data if one fails.
2. Why Database Replication Fits the Requirement
* Standby Data Center: Database replication provides a fully equivalent copy of the data in the secondary data center.
* High Availability and Disaster Recovery: If the primary database is unavailable, the standby database can immediately take over, ensuring business continuity.
3. Why Not Other Options?
* Geodatabase Replication:
* While it is designed for replicating geodatabase content, it is typically used for GIS-specific workflows, such as syncing field edits. It does not ensure equivalence for non-spatial components of the database.
* It is not ideal for large-scale, organization-wide replication needs.
* Disconnected Synchronization:
* This is used in offline editing workflows where devices sync their edits with a central database at a later time. It is not suitable for maintaining an equivalent standby database.
4. Types of Database Replication
* Asynchronous Replication: Updates are replicated at scheduled intervals, offering flexibility but with slight delays.
* Synchronous Replication: Updates occur in real-time, ensuring both databases are always identical.
Steps to Implement Database Replication:
* Configure the primary and standby databases in the organization's DBMS (e.g., SQL Server, PostgreSQL, Oracle).
* Use the DBMS's built-in replication tools (e.g., SQL Server's Always On, PostgreSQL's Streaming Replication).
* Set up monitoring to ensure the replication process is functioning correctly.
References from Esri Documentation and Learning Resources:
* Database Replication in DBMS
* Disaster Recovery with Database Replication
Conclusion:
Database replicationis the recommended technology to establish an equivalent data presence in a standby data center, ensuring high availability and disaster recovery.

53. Frage
An organization uses a two-way replica to share edits for a polygon feature class with a field office. After months of synchronizing edits, a schema change takes place using the following workflow;
* A new field called a legal_area is added to a polygon feature class in the parent geodatabase
* An editor uses the Calculate Geometry tool to calculate legal_area for each polygon
* The child geodatabase does not have the legal_area field in the polygon feature class
* The parent geodatabase synchronizes the replica to the child geodatabase What happens during synchronization?

A. An error message occurs
B. The synchronization succeeds
C. The synchronization adds the missing field

Antwort: A

Begründung:
Understanding the Scenario:
* A two-way replica exists between a parent geodatabase and a child geodatabase to share edits.
* A schema change (adding the legal_area field) occurs in the parent geodatabase but is not applied to the child geodatabase.
* The parent synchronizes the replica, attempting to push changes that include edits to the new field.
Replica Synchronization Behavior:
* Schema Changes and Replication:Replication does not automatically synchronize schema changes such as adding new fields. Schema updates need to be manually applied to both parent and child geodatabases before synchronization.
* Conflict during Synchronization:If schema changes (like adding a field) are made in the parent geodatabase but not replicated in the child geodatabase, synchronization attempts to apply edits referencing the missing field. This results in an error because the child geodatabase does not recognize the new field.
References:
* Esri Documentation: Schema Changes and Replication.
* Error Handling in Synchronization: Guidance on managing synchronization issues due to schema mismatches.
Why the Correct Answer is A:During synchronization, an error occurs because the legal_area field does not exist in the child geodatabase. Synchronization cannot succeed unless both replicas have compatible schemas.

54. Frage
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?

A. Compress Geodatabase
B. Analyze Datasets
C. Rebuild Indexes

Antwort: C

Begründung:
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.

55. Frage
A user accidentally deletes an enterprise geodatabase feature dataset.
Which technology should be used to resolve the issue?

A. High availability
B. Archiving
C. Backup

Antwort: C

Begründung:
Understanding the Scenario:
* An enterprise geodatabase feature dataset is accidentally deleted.
* The organization needs to recover the dataset to its original state.
Available Technologies:
* High Availability:High availability setups (e.g., failover systems) ensure continuous access to geodatabases during hardware or software failures. However, high availability does not restore accidentally deleted data.
* Backup:A backup is a snapshot of the geodatabase taken at a specific point in time. It allows administrators to restore deleted datasets or recover from data loss scenarios.
* Archiving:Archiving tracks historical edits in versioned geodatabases but does not provide recovery for accidentally deleted datasets.
Steps to Recover the Dataset:
* Identify the most recent backup of the enterprise geodatabase.
* Restore the geodatabase or extract the specific feature dataset from the backup.
* Verify the restored data and synchronize it with ongoing updates if necessary.
References:
* Esri Documentation: Backup and Restore.
* Best Practices for Data Protection: Guidelines for implementing regular backups to prevent data loss.
Why the Correct Answer is B:A backup is the most reliable solution for recovering an accidentally deleted feature dataset. High availability ensures uptime but does not address data recovery, and archiving tracks edits rather than preserving entire datasets.

56. Frage
......

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EGMP2201 aktueller Test, Test VCE-Dumps für Enterprise Geodata Management Professional 2201

EGMP2201 Online Test, EGMP2201 Ausbildungsressourcen

Esri Enterprise Geodata Management Professional 2201 EGMP2201 Prüfungsfragen mit Lösungen (Q51-Q56):

Neueste Enterprise Geodata Management Professional 2201 Prüfung pdf & EGMP2201 Prüfung Torrent

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