EGMP2201 Exam Dumps - Esri Certification Questions and Answers

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.

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 Over time, as data is inserted, updated, or deleted, indexes can become fragmented or outdated, leading to suboptimal query performance.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.

 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);

 References:

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.

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.

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.

 Understanding the Scenario:

ArcGIS Pro users needUndo/Redo functionality, which is available in versioned workflows.

SQL users also need to edit the dataset, requiring direct access to the database tables.

These requirements point to a need for a versioning method that supports both ArcGIS client workflows and SQL-based edits.

 Versioning Methods Overview:

Nonversioned Editing:Nonversioned editing allows direct editing of the database but does not support Undo/Redo functionality in ArcGIS Pro, making it unsuitable for this scenario.

Traditional Versioning:

Supports Undo/Redo functionality for ArcGIS Pro users.

Stores edits in delta tables (adds and deletes) to manage versions.

SQL users can access and edit the base tables, making it compatible with their needs.

Branch Versioning:Branch versioning supports modern workflows and web services but requires a service-based approach for editing. It does not allow direct SQL edits, making it unsuitable for this scenario.

 Steps to Implement Traditional Versioning:

Enable traditional versioning on the dataset in the enterprise geodatabase.

Ensure appropriate permissions are set for SQL users to access and edit the base tables.

ArcGIS Pro users will work in the versioned environment, allowing Undo/Redo operations during their edits.

 References:

Esri Documentation: Understanding Versioning.

Traditional Versioning Concepts: Best practices for using traditional versioning with multiple user types.

 Why the Correct Answer is B:Traditional versioning fulfills both requirements: Undo/Redo functionality for ArcGIS Pro users and SQL accessibility for direct edits.

Scenario Overview:

The analyst creates a join between a large dataset and a nonspatial table to calculate an attribute field.

An error occurs, indicating that the join field is not indexed.

Cause of the Problem:

Joins between datasets rely on indexed fields to optimize the join operation. Without an index, the system must perform a full table scan, which can lead to errors or slow performance when working with large datasets.

Solution:

Running theAdd Attribute Indextool creates an index on the join field, enabling efficient joining operations.(ArcGIS Documentation: Attribute Indexes)

Steps to Resolve:

Open theAdd Attribute Indextool in ArcGIS Pro.

Select the nonspatial table as the input dataset.

Choose the field used in the join operation as the field to index.

Run the tool to create the attribute index.

Alternative Options:

Option A:Add Spatial Index is irrelevant for nonspatial data.

Option C:Rebuild Indexes reorganizes existing indexes but cannot create new ones, which is required here.

Thus, the analyst should run theAdd Attribute Indextool to resolve the error.

 Understanding the Scenario:

A user saves a connection file withread/write credentialsand creates layer files for visualization.

Viewers access these layer files, potentially exposing the saved credentials.

 Key Issue with the Workflow:

Saved Credentials in Connection File:Connection files can store usernames and passwords for convenience, but when shared, the credentials grant others the same level of access as the original user.

Impact of Read/Write Credentials:Viewers can inadvertently perform edits (e.g., add/delete fields or modify data) because the layer files inherit the permissions of the stored connection file.

 Steps to Resolve the Issue:

Avoid saving credentials in the connection file or use a connection withread-only accessfor shared layers.

Use proper publishing workflows to share layers with predefined permissions via feature or map services.

 References:

Esri Documentation: Sharing Layer Files.

Managing User Access in ArcGIS: Best practices for securing connection files and controlling access levels.

 Why the Correct Answer is C:Sharing layer files with stored credentials inadvertently grants viewers the same level of access as the user who created the connection file. This results in viewers being able to perform edits, violating intended data security policies.

Scenario Overview:

The organization hasArcGIS Enterpriseand requires versioned editing.

The project mandates tracking which user deleted a feature from thedefault version.

Why Branch Versioned Editing?

Branch versioningsupports versioned editing workflows and integrates seamlessly witheditor tracking, including operations like tracking who deleted a feature.

It is ideal for web-based workflows inArcGIS Enterpriseand allows for direct interaction with feature services.

The default version remains accessible for analysis while enabling the organization to track user edits, including feature deletions.(ArcGIS Documentation: Branch Versioning)

Alternative Options:

Option B: Traditional versioned editingsupports versioned workflows but does not inherently track who deletes features unless additional workflows are implemented (e.g., custom fields or triggers).

Option C: Nonversioned editingdoes not support versioning workflows or user tracking.

Thus,branch versioned editingis the best workflow to support versioned editing while tracking deleted features.

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.