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Curious about Actual Esri Enterprise Geodata Management Professional (EGMP2201) Exam Questions?

Here are sample Esri Enterprise Geodata Management Professional 2201 (EGMP2201) Exam questions from real exam. You can get more Esri Enterprise Geodata Management Professional (EGMP2201) Exam premium practice questions at TestInsights.

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Total 65 questions
Question 1

A GIS administrator needs to make a synchronized copy of a branch versioned dataset. Editing must be performed on both copies.

How should the data be replicated?


Correct : B

Scenario Overview:

The GIS administrator needs to create a synchronized copy of a branch versioned dataset.

Both copies must allow editing.

Why Geodatabase Replication?

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

For branch 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 replication enables editing on both sides while synchronizing changes.

Supports branch 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 replication is the correct method for synchronizing and editing branch versioned datasets in both geodatabases.


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Question 2

A GIS data administrator needs to store color, model, and size attributes for different kinds of valves. Pick lists should only show permitted combinations of color, model, and size.

Which geodatabase capability should be configured?


Correct : C

Scenario Overview:

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

Pick lists must display only valid combinations of these attributes.

Why Contingent Values?

Contingent values allow 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 values are the appropriate geodatabase capability to configure pick lists for valid attribute combinations.


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Question 3

The GIS administrator does not have the database administrator credentials and needs to create an enterprise geodatabase for storage of vector dat

a. The database administrator will provide a database with the appropriate users and permissions for use.

Which tool should the GIS administrator use?


Correct : B

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.

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.

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 to ArcGIS Pro or ArcGIS Enterprise tools.

Open the Enable Enterprise Geodatabase tool.

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.

Reference:

ArcGIS Pro Documentation on 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.


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Question 4

A GIS administrator needs to simultaneously grant access for multiple users of a branch versioned feature class in an enterprise geodatabase.

How should permissions be granted?


Correct : A

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.

Reference:

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.


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Question 5

A GIS database administrator needs to identify any performance issues with a nightly load process. Upon further research, the database administrator discovers the following:

* A table with 20 million rows is reloaded each night

* This existing table is truncated before an Append is executed

* There are three attributes in addition to objectid and geometry, one of which is a unique text identifier

* The unique index is removed before Append and created again after Append

* The Append operation takes 120 minutes to complete

What should the administrator recommend?


Correct : B

Understanding the Scenario: The database administrator wants to improve the performance of a nightly data load process, which involves truncating and appending a large table with geometry and several attributes. The current Append operation takes 120 minutes, and indexes are re-created after the data is loaded.

Identifying the Bottleneck:

Spatial indexes speed up query performance but can significantly slow down data loading operations like Append.

When loading large datasets, maintaining the spatial index during the operation forces constant updates, leading to performance degradation.

Recommended Optimization:

Removing the Spatial Index:

Before the Append operation, drop the spatial index to eliminate overhead during data insertion.

After the Append operation completes, recreate the spatial index to restore query performance.

This approach ensures that the Append process only focuses on inserting records without additional computational load from maintaining the spatial index.

Steps to Implement the Recommendation:

Drop the spatial index using the appropriate database management command or tool.

Execute the Append process.

Rebuild the spatial index once the Append process is complete.

Reference:

Esri Documentation: Best practices for large data loads: Managing Indexes.

Spatial Index Concepts: Understanding how spatial indexes impact data loading operations.

Why the Correct Answer is B: Removing the spatial index before appending large datasets can significantly reduce the time required for data insertion. Options A (removing the objectid index) and C (adding a unique key index) are irrelevant because the objectid index is system-managed and the unique key index creation would not improve the performance of the Append operation.


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