EGMP2201 Enterprise Geodata Management Professional 2201 Question and Answers

ï‚· Understanding the Scenario:The GIS administrator lacks database administrator credentials but requires an enterprise geodatabase for vector data storage. In this setup, the database administrator (DBA) is responsible for preparing the database, including setting up users and permissions, while the GIS administrator is tasked with enabling it as an enterprise geodatabase.

ï‚· Tool Selection Overview:

Create Feature Dataset:This tool is for creating a logical grouping of related feature classes inside an existing geodatabase. It is unrelated to enabling or creating an enterprise geodatabase.

Enable Enterprise Geodatabase:This tool is used when a database has already been created and configured by the DBA, and the GIS administrator needs to enable it as an enterprise geodatabase. It adds geodatabase system tables and functionality to the database. This aligns with the scenario described.

Create Enterprise Geodatabase:This tool creates a new database and configures it as an enterprise geodatabase in one step.However, this tool requires database administrator credentials, which the GIS administrator in this scenario does not have.

ï‚· Key Steps to Enable an Enterprise Geodatabase:

Preparation by DBA:The DBA sets up the database, ensuring the appropriate users and permissions are in place. They also provide connection details to the GIS administrator.

Using the Enable Enterprise Geodatabase Tool:

Navigate toArcGIS ProorArcGIS Enterprise tools.

Open theEnable Enterprise Geodatabasetool.

Specify the database connection file for the target database.

Provide the authorization file (a valid ArcGIS Server Enterprise license file) to enable geodatabase functionality.

Execute the tool to add system tables, stored procedures, and geodatabase functionality to the database.

ï‚· References:

ArcGIS Pro Documentationon Enable Enterprise Geodatabase.

Esri Enterprise Geodatabase Concepts: Official Esri documentation provides comprehensive details on the role of DBAs and GIS administrators in setting up enterprise geodatabases.

ArcGIS Enterprise Licensing Guide: Detailed information about authorization files for enabling geodatabases.

 Why the Correct Answer is B:The tool “Enable Enterprise Geodatabase” is specifically designed for situations where the database setup is handled by a DBA, and the GIS administrator is responsible only for enabling geodatabase capabilities. Since the GIS administrator does not have DBA credentials, they cannot use the “Create Enterprise Geodatabase” tool, which would require those credentials to create and configure a new database.

ï‚· 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.

ï‚· 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.

ï‚· Steps to Configure an Attribute Rule:

Define acalculation attribute ruleon 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.

ï‚· References:

Esri Documentation: Attribute Rules.

Attribute Rule Types: Best practices for using calculation and validation rules in enterprise geodatabases.

ï‚· Why the Correct Answer is A:Attribute rules are specifically designed to manage attribute values and ensure compliance withbusiness logic during data editing. DBMS triggers are external and less geodatabase-centric, while spatial views do not support value transformations during insertion.

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.

To identify which user was responsible for creating each feature in a global enterprise geodatabase, enablingeditor trackingis the appropriate strategy.

1. What is Editor Tracking?

Editor tracking records metadata about feature creation and updates, including:

Whocreated or updated a feature.

Whenthe feature was created or updated.

This information is stored in four additional fields:

Creator

Creation Date

Editor

Edit Date

2. Advantages of Editor Tracking

Automatically tracks and populates user and timestamp fields for feature edits.

Requires no manual intervention by users, ensuring accuracy and consistency.

Works seamlessly in multi-user environments, including enterprise geodatabases.

3. Why Not Other Options?

Add a Global ID:

Global IDs are used to uniquely identify features but do not track user edits or changes.

Use Relationship Classes:

Relationship classes establish connections between features or tables. They are not designed to record user actions or metadata.

Steps to Enable Editor Tracking:

OpenArcGIS Proand connect to the enterprise geodatabase.

Right-click the feature class or dataset and selectManage > Enable Editor Tracking.

Specify the fields for storing creator, editor, creation date, and edit date.

Save and apply the changes.

References from Esri Documentation and Learning Resources:

Editor Tracking—ArcGIS Pro Documentation

Tracking Edits in Enterprise Geodatabases

Conclusion:

Enabling editor trackingis the most effective strategy to identify which user created each feature in a global enterprise geodatabase.

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.

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.

To facilitate collaboration between two teams of GIS analysts located in different offices, each requiring a copy of the data in their own enterprise geodatabase with the ability to edit the same feature classes and synchronize changes nightly, geodatabase replication is the appropriate solution.

Understanding Geodatabase Replication:

Geodatabase replication is a data distribution method in ArcGIS that allows you to create copies of data across two or more geodatabases. This enables multiple users to work with the same datasets in different locations, with the ability to synchronize changes to ensure consistency.

ARCGIS PRO

Types of Geodatabase Replication:

There are three types of geodatabase replication:

One-Way Replication: Changes are sent in a single direction—from the parent to the child replica.

Two-Way Replication: Changes are synchronized in both directions between the parent and child replicas. This is suitable when multiple editors need to update the same datasets in different locations.

Checkout/Check-in Replication: Data is checked out to a child replica for editing and then checked back in to the parent replica.

In this scenario, two-way replication is ideal, as it allows both teams to edit the same feature classes and synchronize changes nightly, ensuring that both geodatabases remain consistent.

ARCGIS PRO

Alternative Options:

Database Replication: This refers to replicating entire databases at the DBMS level. While it can synchronize data, it doesn't account for the geodatabase-specific behaviors, rules, and relationships managed by ArcGIS. Therefore, it may not be suitable for scenarios requiring synchronization of geodatabase-specific functionalities.

Distributed Collaboration: This is a framework in ArcGIS Enterprise that allows sharing of content, such as maps, layers, and apps, across multiple ArcGIS Enterprise deployments or between ArcGIS Enterpriseand ArcGIS Online. However, it doesn't provide the fine-grained control over data editing and synchronization required in this scenario.

GEODATABASE RESOURCES

Therefore, to meet the requirements of both teams being able to edit the same feature classes in their respective enterprise geodatabases and synchronize changes nightly, geodatabase replication is the most appropriate solution.

Scenario Overview:

The GIS administrator needs to create asynchronized copyof a branch versioned dataset.

Both copies must allowediting.

Why Geodatabase Replication?

Geodatabase replicationsupports the creation of synchronized copies of datasets while allowing edits in both the parent and child geodatabases.

Forbranch versioned data, replication ensures that edits made in either the parent or child geodatabase can be synchronized using a two-way replica.(ArcGIS Documentation: Geodatabase Replication)

Key Features of Geodatabase Replication for This Scenario:

Two-way replicationenables editing on both sides while synchronizing changes.

Supportsbranch versioning, ensuring versioned workflows remain intact.

Maintains schema consistency across both geodatabases.

Alternative Options:

Option A: Distributed Collaboration

Collaboration is suitable for sharing data across ArcGIS Enterprise environments but does not support active synchronization for editing on both sides.

Option C: DBMS Replication

DBMS-level replication handles raw data replication but does not preserve geodatabase-specific functionalities, such as branch versioning.

Thus,geodatabase replicationis the correct method for synchronizing and editing branch versioned datasets in both geodatabases.

ï‚· Understanding the Scenario:

Records are being appended to a child version of a feature class registered as versioned.

Reconcile and post are taking longer than expected, suggesting complications during version synchronization.

ï‚· Key Considerations for Reconciliation Performance:

Conflicting Edits (Option A):Reconciliation time increases if there are many conflicts to resolve. However, the question does not mention concurrent edits in Default or other child versions, making conflicts less likely to be the main issue.

Updates in Default (Option B):If Default has been updated since the child version was created, the reconcile process must account for changes in Default. This can significantly increase processing time as it integrates the child version changes with the modifications in Default.

Compress Operation (Option C):The Compress operation removes redundant states in the geodatabase but does not directly affect reconciliation speed. The question does not indicate that the child version is excluded from compression or that compression is related to the delay.

ï‚· Steps to Improve Reconciliation Performance:

Minimize edits to Default during the child version's workflow.

Reconcile frequently to avoid large differences between Default and the child version.

Ensure that Compress operations are run regularly to optimize geodatabase state management.

ï‚· References:

Esri Documentation: Reconcile and Post.

Versioning Best Practices: Guidance on managing Default and child versions to minimize reconcile conflicts.

ï‚· Why the Correct Answer is B:The delay occurs because Default was updated after the child version was created. The reconciliation process must merge changes from Default with those in the child version, increasing processing time. Conflicts (A) are not mentioned, and compress operations (C) do not directly cause reconciliation delays.

ï‚· 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.

ï‚· 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.

ï‚· 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.

ï‚· References:

Esri Documentation: Enterprise Geodatabases Overview.

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

ï‚· 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 a database view performs poorly in a map, registering it with the geodatabase can significantly improve performance.

1. Why Register with the Geodatabase?

Registering a database view with the geodatabase integrates it into the geodatabase system, enabling:

Proper use of spatial indexes.

Optimization of queries by the geodatabase.

Improved handling of large datasets by leveraging geodatabase-specific performance enhancements.

2. Why Not Other Options?

Export to Shapefile:

Shapefiles are a flat file format that lacks indexing and performance optimization. Using shapefiles is not suitable for complex queries or large datasets.

Join to Another Feature Class:

Joining data does not address the root cause of performance issues in the view and may further degrade performance if the join adds complexity.

Steps to Register a Database View with the Geodatabase:

OpenArcGIS Proand connect to the database.

Use theRegister with Geodatabasetool, specifying the database view.

Configure the registration to include spatial indexes if the view contains spatial data.

Save and test the performance of the registered view in a map.

Additional Notes:

If the database view includes complex SQL logic, simplify the query if possible to further improve performance.

Ensure that the underlying tables in the view are properly indexed.

References from Esri Documentation and Learning Resources:

Registering Views with a Geodatabase

Improving Map Performance with Views

Conclusion:

Registering the database view with the geodatabase enables spatial indexing and geodatabase optimization, addressing performance issues and ensuring efficient rendering and querying.

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.

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.

Scenario Overview:

The administrator needs to store attributes for valves (e.g., color, model, and size).

Pick listsmust display only valid combinations of these attributes.

Why Contingent Values?

Contingent valuesallow geodatabases to enforce specific, dependent attribute combinations.

For example, if certain sizes are only valid for specific models and colors, contingent values ensure only permitted combinations are displayed in pick lists.(ArcGIS Documentation: Contingent Values)

How Contingent Values Work:

Attribute domains are defined for individual fields (e.g., color, model, size).

Contingent value rules are configured to establish relationships between the fields, restricting invalid combinations.

When editing data, pick lists dynamically adjust based on contingent value rules, showing only valid options.

Alternative Options:

Option A: Domains

Attribute domains enforce constraints on individual fields but cannot define dependencies between fields.

Option B: Subtypes with domains

Subtypes group features into categories with distinct domain rules but do not support interdependent attribute combinations.

Thus,contingent valuesare the appropriate geodatabase capability to configure pick lists for valid attribute combinations.

ï‚· Understanding the Scenario:

The query filters rows based on inspector_name and sorts the results by inspection_date.

Creating an index optimizes data retrieval by reducing the number of rows scanned during the query execution.

ï‚· Key Considerations for Indexing:

Primary Filter Column:The inspector_name column is the primary filter in the WHERE clause. Indexing this column ensures quick identification of rows matching the filter condition.

Sort Optimization:The ORDER BY inspection_date clause benefits from indexing inspection_date as the second column in a composite index, which accelerates sorting for the filtered results.

ï‚· Index Selection:

A composite index on inspector_name and inspection_date enables efficient query execution:

inspector_name ensures fast filtering.

inspection_date optimizes sorting.

Indexing unrelated columns like facility_type is unnecessary, as it is not part of the query.

ï‚· Steps to Create the Index:

In the enterprise geodatabase, use the database management tools or SQL commands to create a composite index:

CREATE INDEX idx_facility_inspections

ON facility_inspections (inspector_name, inspection_date);

ï‚· References:

Esri Documentation: Creating and Managing Indexes.

SQL Indexing Best Practices: Guidelines for composite index creation to optimize queries.

ï‚· Why the Correct Answer is D:A composite index on inspector_name and inspection_date directly addresses the query structure, optimizing both the WHERE filter and the ORDER BY clause.

Scenario Overview:

The GIS data administrator needs to prepare data for offline workflows.

Offline workflows allow users to take data offline for use in disconnected environments, typically for field operations.

Why Enable Sync?

Sync must be enabled on the feature service to allow offline workflows. This capability ensures that edits made offline can later be synchronized with the enterprise geodatabase.

When sync is enabled, data can be downloaded for offline use in supported applications like ArcGIS Field Maps, and changes can be synchronized back to the geodatabase.

(ArcGIS Documentation: Sync)

Alternative Options:

Option A: Enable Archiving

Archiving tracks historical edits but is not required for offline workflows.

Option B: Add Global IDs

While Global IDs are required for enabling sync, adding them alone does not fully configure the dataset for offline workflows.

Thus, to prepare data for offline workflows, the administrator must enable sync on the dataset.