EGMP2201 Exam Dumps - Esri Certification Questions and Answers

Scenario Overview:

Users experienceslowing performanceacross the geodatabase, particularly for edits and drawing when adding 10,000 records.

The organization performs weekly maintenance tasks:

Rebuilding indexes and statistics

Compressing the geodatabase

Removing orphaned connections

Why Reconcile and Post Versions?

Slow performance in traditional versioning often results from excessive unreconciled versions and a bloatedstate tree.

Reconciling and posting versions reduces the number of states, enabling geodatabase compression to fully collapse redundant states and improve performance.(ArcGIS Documentation: Reconcile and Post)

Alternative Options:

Option A: Change to use Default version

This bypasses versioning workflows and does not address the root cause of performance degradation.

Option B: Update records via Python

Using Python to update records does not resolve issues caused by unreconciled versions or state tree inefficiencies.

Thus, the correct action is toreconcile and post versions, ensuring the geodatabase state tree is optimized and performance is restored.

 Understanding the Scenario:

The organization requires feature classes to beeditable in mobile and web apps.

Performance optimization through indexing is also needed for common queries.

 Feature Class Storage Options:

Enterprise Geodatabase:

Supports multiuser environments, making it suitable for mobile and web app editing.

Allows indexing at the database level, which improves query performance for large datasets.

Provides robust versioning, replication, and sync capabilities for mobile workflows.

File Geodatabase:

Supports single-user access and lacks enterprise-grade indexing and multiuser editing capabilities.

Does not meet the requirements for web and mobile app editing.

Mobile Geodatabase:

Optimized for mobile apps but does not support the enterprise-level indexing and multiuser workflows required for this scenario.

 Steps for Storing and Optimizing Feature Classes:

Store the feature classes in an enterprise geodatabase.

Create indexes on frequently queried columns to optimize performance for mobile and web app queries.

Use tools likeArcGIS Proto publish feature services for mobile and web app editing.

 References:

Esri Documentation: Enterprise Geodatabases Overview.

Indexing for Performance Optimization: Guidelines for improving query performance in enterprise environments.

 Why the Correct Answer is A:Enterprise geodatabases are the only storage option that supports multiuser editing in mobile and web apps and provides advanced indexing capabilities. File and mobile geodatabases lack the necessary functionality for this use case.

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 Datasetsparameter 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.

 Understanding the Scenario:The GIS administrator wants to simultaneously grant access to multiple users for a branch-versioned feature class in an enterprise geodatabase. Managing permissions for individual users can be inefficient, especially for larger teams, making roles a better solution.

 Why Grant Permissions to a Role:

Role-Based Access Control (RBAC):In enterprise geodatabases, assigning permissions to a role allows administrators to define access levels once and apply them to multiple users who are members of that role. This simplifies management and ensures consistent permission levels across users.

Branch Versioning Considerations:In branch versioned datasets, role-based permissions ensure that all users working with the feature class can access, edit, or view data as needed without individual customization.

 Steps to Assign Permissions to a Role:

Create a role in the database or use an existing one.

Assign permissions for the branch versioned feature class to the role (e.g., read, edit, or administrative permissions).

Add users to the role.

All users in the role inherit the permissions automatically.

 References:

Esri Documentation: Best practices for managing permissions in enterprise geodatabases: Managing Users and Roles.

Branch Versioning Overview: Information on the unique requirements for branch versioned data: Branch Versioning.

 Why the Correct Answer is A:Using roles allows the GIS administrator to efficiently grant and manage access for multiple users at once. Options like lists or groups are not applicable in the context of enterprise geodatabases, as roles are the standard mechanism for assigning permissions.

Geometric networks are not supported inbranch versioningor workflows where edits are moved directly to the base table. Therefore,traditional versioning without move edits to baseis the only viable option for implementing an offline mobile editing workflow with feature classes that participate in a geometric network.

1. Why Use Traditional Versioning Without Move Edits to Base?

Support for Geometric Networks:

Geometric networks are only compatible with traditional versioning workflows. Branch versioning does not support geometric networks, and using the "move edits to base" option bypasses the versioning framework required for geometric networks.

Offline Mobile Editing:

Traditional versioning supports creating replicas that allow offline editing and subsequent synchronization. This workflow is critical for mobile editing scenarios.

2. Why Not Other Options?

Branch Versioning:

Branch versioning is designed for feature services and web-based workflows but does not support geometric networks.

Traditional Versioning with Move Edits to Base:

This option moves edits directly to the base table, which is incompatible with geometric networks and versioning workflows that require offline editing.

Steps to Configure Traditional Versioning Without Move Edits to Base:

Register the feature classes and datasets (including geometric networks) with traditional versioning in ArcGIS Pro.

Create a replica to support offline editing workflows.

Synchronize edits back to the geodatabase after offline editing, reconcile, and post to integrate changes into the Default version.

References from Esri Documentation and Learning Resources:

Traditional Versioning Overview

Geometric Networks and Versioning

Conclusion:

Usingtraditional versioning without move edits to baseis the only method that supports offline mobile editing workflows while maintaining compatibility with geometric networks.

To migrate an enterprise geodatabase to another server while changing its name and repository table owner, creating anew enterprise geodatabaseis the most appropriate workflow.

1. Why Create a New Enterprise Geodatabase?

New Geodatabase Name: Creating a new geodatabase allows specifying a different name for the database.

Change Repository Table Ownership: During the setup of the new geodatabase, the repository tables can be assigned to a new owner (e.g., DBO instead of SDE).

Fresh Configuration: This method provides full control over database settings, structure, and ownership during migration.

2. Why Not Other Options?

Restore a Database Backup:

Restoring a backup would preserve the original database name and ownership settings, which conflicts with the requirement to change these configurations.

Migrate Storage Geoprocessing Tool:

This tool is used for changing the storage type of geodatabase tables (e.g., from binary to XML). It is not designed for migration or renaming geodatabases or altering repository table ownership.

3. Steps to Create a New Enterprise Geodatabase:

Create the New Geodatabase:

Use theCreate Enterprise Geodatabasegeoprocessing tool in ArcGIS Pro or database-specific tools to set up the new geodatabase on the target server.

Configure the repository tables to use the desired owner (e.g., DBO).

Export Data from the Old Geodatabase:

UseGeodatabase replication,Export to File Geodatabase, or other export tools to migrate data to the new geodatabase.

Import Data to the New Geodatabase:

Load the exported data into the new geodatabase using theImport/Load Datatools.

Update Services and Connections:

Update database connection files and any published services to point to the new geodatabase.

References from Esri Documentation and Learning Resources:

Creating an Enterprise Geodatabase

Migrating Enterprise Geodatabases

Conclusion:

Creating anew enterprise geodatabaseis the best method to meet the requirements of renaming the database and changing the repository table owner.

 Understanding the Scenario:

Editors need to isolate their edits so that changes are not immediately visible to others.

Edits must bereviewed before becoming public, indicating a requirement for a structured approval process.

The organization aims to reduce the number of RDBMS users, which suggests centralized management of access and permissions.

 Editing Models Overview:

Branch Versioning:Designed for web-based workflows and does not require direct RDBMS access for each editor. However, edits made in branch versioning are inherently collaborative and are not isolated unless explicitly controlled through a branch-per-user workflow, which adds complexity.

Traditional Versioning:

Supports isolated editing through private versions.

Editors can create their own versions, make changes, and submit them for review by reconciling and posting to the default version.

Direct access to the RDBMS is centralized, reducing the need for individual RDBMS users.

Nonversioned Editing:Does not support isolated edits or versioned workflows, making it unsuitable for this scenario.

 Steps to Implement Traditional Versioning:

Register the feature class asversionedin the enterprise geodatabase.

Allow editors to createprivate versionsfor making isolated edits.

Implement a workflow for reconciling and posting edits after review.

 References:

Esri Documentation: Traditional Versioning.

Versioned Editing Best Practices: Guidelines for isolating and reviewing edits.

 Why the Correct Answer is B:Traditional versioning meets all requirements: it isolates edits, allows for review before posting, and reduces the number of RDBMS users through centralized version management. Branch versioning is web-centric and lacks the structured review process, while nonversioned editing does not support isolation or versioning.

Scenario Overview:

The organization has a web service thatmust always be available.

The service reads data from afeature classin an enterprise geodatabase.

The GIS administrator needs to update theschemaof the feature class.

Why Disable Schema Locking?

By default, ArcGIS services enforceschema lockingto ensure data consistency while the service is active. This prevents any modifications to the feature class schema (e.g., adding fields, altering attributes) while the service is running.

Disabling schema locking allows schema updates to occur without disrupting the service's availability.(ArcGIS Documentation: Schema Locking)

Steps to Disable Schema Locking:

Access the ArcGIS Server Manager.

Locate the web service and open itsservice properties.

In the advanced settings, disable theschema lockingoption.

Perform the required schema updates (e.g., adding fields or modifying the feature class).

Re-enable schema locking if necessary for normal operation.

Alternative Options:

Option B: Run the Alter Field geoprocessing tool

This tool modifies fields but cannot execute schema changes while schema locks are active.

Option C: Delete the spatial index

Deleting the spatial index is unrelated to schema changes and could degrade query performance.

Thus, the correct workflow is todisable schema locking on the serviceto allow schema changes without disrupting the web service.

Scenario Overview:

Multiple editors need tocollaboratively editthe same dataset using a web application.

Requirements:

Editors work inisolationuntil they reach a stopping point.

Edits are shared with others at the stopping point.

Editors can view shared edits without sharing their own.

Branch Versioning in Enterprise Geodatabases:

Branch versioning is specifically designed for collaborative editing inweb-based workflows.

It supportsisolated editingby creating branches for each editor and allows users to reconcile and post changes at their discretion.

Editors canchoose to reconcile shared changes without posting their own edits, fulfilling the requirement to view shared edits without sharing their own.(ArcGIS Documentation: Branch Versioning)

Key Features of Branch Versioning:

Supports Web Applications:Designed to work seamlessly with feature services, enabling real-time collaborative editing.

Isolation:Each editor can edit independently in their branch.

Reconciliation:Editors can reconcile and view changes made by others without posting their edits.

Flexible Sharing:Editors control when to post edits.

Alternative Options:

Option B: Traditional versioned with editor tracking enabled:

Traditional versioning supports isolated editing, but it does not provide the flexibility to view shared changes without posting your own edits.

It is also not as well-suited for web-based collaborative workflows.

Option C: Traditional versioned with the option to move edits to base:

Moving edits to base bypasses versioning workflows entirely and is not designed for collaborative editing.

Thus,branch versioningis the optimal solution for the requirements of this collaborative editing workflow in a web application.