Esri EGMP2201 Enterprise Geodata Management Professional 2201 Exam Practice Test

Answer : A

For a large government organization requiring an equivalent data presence in a standby data center, database replication is 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.

Reference from Esri Documentation and Learning Resources:

Database Replication in DBMS

Disaster Recovery with Database Replication

Conclusion:

Database replication is the recommended technology to establish an equivalent data presence in a standby data center, ensuring high availability and disaster recovery.

Answer : A

The slow performance at zoomed-out extents is likely caused by the rendering of complex polygon geometries in real time, which can be computationally intensive. Using cached data is the best approach to improve performance in this situation.

1. Reason for Slow Performance at Zoomed-Out Extents

Complex polygons require significant processing power to render at smaller scales due to the high number of vertices and complex geometry.

When users zoom out, the number of features being displayed increases, causing additional strain on the map service.

Attribute queries are not affected because they do not involve rendering the geometries.

2. Advantages of Using Cached Data

Cached tiles are pre-rendered images of the map at specific scales, stored on the server.

When cached data is used, the server simply retrieves and displays these images instead of dynamically rendering the features.

This drastically reduces server load and improves map performance at zoomed-out extents.

3. Why Not Other Options?

Run the Analyze Datasets Tool:

This tool checks for issues like invalid geometries, missing spatial indexes, or improper field types. While useful for general data health, it does not directly address rendering performance.

Compress the Enterprise Geodatabase:

Compression improves performance for versioned data by consolidating states and cleaning up the database. However, in this case, the feature class is not versioned, so compression would not resolve the rendering issues.

Steps to Implement Caching:

Open ArcGIS Server Manager and navigate to the map service configuration.

Enable tile caching and define the scales at which tiles should be created (include the problematic zoomed-out extents).

Generate the cache using the 'Manage Map Server Cache Tiles' tool.

Test the map to ensure performance improvements.

Reference from Esri Documentation and Learning Resources:

Map Caching in ArcGIS Enterprise

Best Practices for Map Services

Conclusion:

The GIS administrator should recommend enabling cached data for the zoomed extents to significantly improve map performance.

Answer : B

The issue arises because One-way, parent to child replication is being used. In this type of replication, changes from the parent replica (production server) overwrite the data in the child replica (consultant's server) during synchronization, regardless of edits made in the child replica.

1. One-way Replication Workflow

Parent to Child: Changes are pushed from the parent to the child. The child can make local edits, but these edits are not sent back to the parent, and they can be overwritten when synchronizing.

In this case, the consultant's edits are overwritten because the synchronization is unidirectional from the production server to the consultant's server.

2. Issue with Conflicting Edits

Since One-way, parent to child replication does not support bi-directional synchronization or conflict detection, local changes in the child replica are not preserved if the parent replica pushes updates that conflict with them.

3. Why Not Other Options?

Checkout/check-in:

This replication type allows edits to be made in the checkout replica and reconciled back to the parent during check-in. This ensures that conflicting edits are addressed.

One-way, child to parent:

In this replication, edits flow from the child replica to the parent replica. The issue described does not align with this setup.

Reference from Esri Documentation and Learning Resources:

Geodatabase Replication---ArcGIS Pro Documentation

Understanding One-Way Replication

Conclusion:

The issue occurs because One-way, parent to child replication is being used, where edits made on the child replica are overwritten by updates from the parent replica during synchronization.

Answer : A

To determine if the Adds and Deletes tables for the 'Buildings' dataset are empty before unregistering as versioned, the GIS administrator needs to reference the sde_layers table.

1. Purpose of the sde_layers Table

The sde_layers table tracks the relationship between base tables and the associated delta tables (Adds and Deletes).

For each versioned dataset, the sde_layers table contains entries linking the dataset to its corresponding A and D tables (e.g., A_<ObjectID> and D_<ObjectID>).

2. Steps to Verify Adds and Deletes

Identify the ObjectID of the Buildings dataset in the sde_layers table.

Query the Adds table (A_<ObjectID>) and Deletes table (D_<ObjectID>) associated with the Buildings dataset:

SELECT COUNT(*) FROM A_<ObjectID>;

SELECT COUNT(*) FROM D_<ObjectID>;

If both queries return 0, the Adds and Deletes tables are empty, and it is safe to unregister the dataset as versioned.

3. Why Not Other Options?

table_registry: This table tracks registered datasets but does not provide information about delta tables or their contents.

gdb_items: This table stores metadata for datasets but does not have details on delta table contents.

Reference from Esri Documentation and Learning Resources:

Compressing a Geodatabase---ArcGIS Pro Documentation

Delta Tables in Versioned Geodatabases

Conclusion:

The GIS administrator must query the sde_layers table to verify the Adds and Deletes tables before unregistering the dataset as versioned.

Answer : A

Comprehensive Detailed Step-by-Step Explanation with All Enterprise Geodata Reference:

An Enterprise geodatabase is the most appropriate choice for this scenario due to the following reasons:

1. Requirement to Store Data Locally on Organization's Servers

An Enterprise geodatabase allows organizations to store GIS data locally in their own database management systems (DBMS), such as PostgreSQL, SQL Server, or Oracle.

This meets the requirement of maintaining control over data storage and ensuring the data resides within the organization's infrastructure.

2. Editing GIS Data via Web Services

Enterprise geodatabases seamlessly integrate with ArcGIS Server, enabling data editing via web services.

Organizations can publish feature services to allow authorized users to edit GIS data in real-time or in a disconnected environment (via sync).

These services support advanced editing workflows, including versioning and conflict resolution.

3. Indexing Specific Business Fields for Performance

Enterprise geodatabases offer robust indexing options to enhance query and editing performance.

You can:

Create attribute indexes on fields that are frequently queried.

Use spatial indexes to improve the speed of spatial queries.

This level of customization helps meet the performance demands of specific business workflows.

4. Advantages Over Other Storage Options

File Geodatabase:

While it is suitable for smaller datasets and local storage, it does not support multi-user editing, integration with web services, or advanced indexing for business fields.

Hosted Relational Database:

This option is part of ArcGIS Online or ArcGIS Enterprise managed services and stores data in the cloud, which contradicts the requirement for local storage.

It also does not provide the same level of control or indexing capabilities as an enterprise geodatabase.

Reference from Esri Documentation and Learning Resources:

Enterprise Geodatabases---ArcGIS Pro Documentation

Configuring Indexes in Geodatabases

Publishing Feature Services for Editing

Conclusion:

An Enterprise geodatabase not only meets all the stated requirements (local storage, web service editing, and indexed fields for performance) but also provides additional scalability, security, and multi-user editing capabilities.

Answer : A

Understanding the Scenario:

The regional office lacks access to ArcGIS Enterprise, ArcGIS Online accounts, or an enterprise geodatabase.

Data must be distributed in a format that the regional office can use independently of enterprise-level systems.

Data Distribution Solutions Overview:

Geodatabase Replication:

Geodatabase replication allows data to be exported and shared with external systems, such as file or personal geodatabases.

Replicas can be set up in a disconnected mode, enabling regional offices to work with the data offline.

Distributed Collaboration: Distributed collaboration facilitates sharing data and content between ArcGIS Enterprise and ArcGIS Online environments. It is unsuitable for offices without these systems.

Partnered Collaborations: Partnered collaborations extend distributed collaboration to partner organizations, but they also require ArcGIS Online accounts, making them incompatible with this scenario.

Steps to Implement Geodatabase Replication:

Create a one-way replica of the data in a format compatible with the regional office's systems (e.g., file geodatabase).

Transfer the replica to the regional office via portable media or secure file sharing.

Set up periodic updates if the data needs to be refreshed.

Reference:

Esri Documentation: Geodatabase Replication.

Disconnected Workflows: Best practices for sharing data in offline environments.

Why the Correct Answer is A: Geodatabase replication is the most suitable solution for sharing data with a regional office that lacks enterprise-level systems. Distributed and partnered collaborations require ArcGIS Enterprise or ArcGIS Online accounts, which are unavailable in this scenario.

Answer : B

Understanding the Scenario:

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

Edits must be reviewed 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 as versioned in the enterprise geodatabase.

Allow editors to create private versions for making isolated edits.

Implement a workflow for reconciling and posting edits after review.

Reference:

Esri Documentation: Traditional Versioning.

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.