Geometric networks are not supported in branch versioning or workflows where edits are moved directly to the base table. Therefore, traditional versioning without move edits to base is 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.

Reference from Esri Documentation and Learning Resources:

Traditional Versioning Overview

Geometric Networks and Versioning

Conclusion:

Using traditional versioning without move edits to base is the only method that supports offline mobile editing workflows while maintaining compatibility with geometric networks.

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.

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.

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.

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);

Reference:

Esri Documentation: Creating and Managing Indexes.

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

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.

Understanding the Scenario:

Edits made to a feature class need to be immediately visible to all users.

This indicates a requirement for direct edits to the base tables without any versioning overhead.

Editing Configuration Overview:

Traditional Versioned Editing: Edits are made to delta tables and require version reconciliation and posting to be visible to other users. This introduces a delay and does not meet the requirement for immediate visibility.

Nonversioned Editing: Edits are applied directly to the base table of the feature class, ensuring they are immediately visible to all users. This is the correct choice for the scenario.

Branch Versioned Editing: Edits are made in a branch version and are not immediately visible to other users unless the edits are saved to the default branch. This is not the best choice for immediate visibility.

Steps to Configure Nonversioned Editing:

Ensure the feature class is set to nonversioned editing mode in the enterprise geodatabase.

Grant necessary permissions for all users to edit the base table.

All edits made to the dataset will instantly reflect for all users.

Reference:

Esri Documentation: Nonversioned Editing.

Why the Correct Answer is B: Nonversioned editing is the only configuration that ensures immediate visibility of edits to all users. Traditional and branch versioning involve workflows that delay edit visibility.

To ensure that editing and public usage do not affect each other, the best approach is to create separate database instances for these purposes.

1. Why Separate Database Instances?

Performance Isolation: Separating the databases ensures that editing operations (which are resource-intensive) do not impact the performance of queries or map services used by the public.

Workload Management: Editors can work in a dedicated environment with optimized settings for editing, while the public-facing database can focus on efficient querying and read-only access.

Security and Data Integrity: Public users are isolated from the editing environment, reducing the risk of unauthorized changes or accidental data loss.

2. How Separate Instances Work

Primary (Editing) Database: This instance supports editing workflows, including versioning, replication, and real-time updates.

Replica (Public) Database: A replicated copy of the primary database is maintained for public usage. Updates can be synchronized periodically using one-way or two-way replication.

3. Why Not Other Options?

Build New Feature Datasets:

Feature datasets organize related feature classes but do not separate editing and querying workloads. Performance issues would persist.

Separate Permissions for Public Services:

While restricting permissions helps secure data, it does not address performance issues caused by concurrent editing and public queries on the same database instance.

Steps to Create Separate Instances:

Set up a primary database instance for editing workflows.

Create a replica database instance for public use by:

Using one-way replication to push updates from the primary to the public database.

Configuring the replica as read-only for public access.

Monitor and optimize each instance independently to ensure optimal performance.

Reference from Esri Documentation and Learning Resources:

Geodatabase Replication for Distributed Workflows

Managing Performance in Enterprise Geodatabases

Conclusion:

Creating separate database instances ensures optimal performance by isolating editing workflows from public usage, addressing both performance and security concerns.

The issue arises because traditional versioned data stores edits in delta tables (Adds and Deletes) instead of the base table. SQL updates applied directly to the base table bypass the delta tables, resulting in incomplete or inconsistent updates.

1. How Traditional Versioning Affects Updates

In traditional versioning, edits are recorded in delta tables:

A_<ObjectID> (Adds): Tracks newly inserted rows.

D_<ObjectID> (Deletes): Tracks deleted rows.

When SQL commands are executed directly on the base table, they do not affect the data in the delta tables, which causes the feature class to reflect incomplete updates.

2. Why Not Other Options?

Nonversioned Feature Class that is Partitioned:

Partitioning organizes data for performance optimization but does not interfere with SQL commands updating the entire table.

Archiving Enabled on the Feature Class:

Archiving tracks historical changes in separate archive tables but does not directly impact SQL commands on the feature class.

Steps to Resolve the Issue:

For traditional versioned data, use the reconcile and post process to update values. This ensures that changes are correctly applied across delta tables and the base table.

Alternatively, use tools like ArcGIS Pro or ArcPy to programmatically update data instead of executing direct SQL commands.

Reference from Esri Documentation and Learning Resources:

Traditional Versioning Overview

Delta Tables and Traditional Versioning

Conclusion:

The issue occurs because the data is traditional versioned, and direct SQL commands do not account for the delta tables where edits are stored. Use the reconcile and post workflow or ArcGIS tools to apply updates correctly.