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The EGMP2201 Exam is divided into four sections: Data Management Concepts, Data Modeling, Data Quality Control, and Data Dissemination. Each section tests the candidate's knowledge and skills in a specific area of geospatial data management. EGMP2201 exam consists of 75 multiple-choice questions and is timed at two hours. A passing score of 70% is required to earn the EGMP2201 certification.
Esri EGMP2201 certification program is an excellent opportunity for professionals who are interested in enhancing their skills and knowledge in enterprise geodata management. The program offers a comprehensive exam that covers a wide range of topics and requires rigorous preparation. Upon successful completion, candidates will receive a globally recognized certification that will enhance their career opportunities and demonstrate their proficiency in enterprise geodata management.
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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q29-Q34):
NEW QUESTION # 29
A data owner creates a one-way replica parent-to-child for a single feature class to share data from a production geodatabase to a public-facing geodatabase.
* The data owner synchronizes once a week to share updated data
* In time, the data owner wants to add a new attribute field/field type and calculates new attribute values
* The data owner synchronizes the replicas, but the new field and values are not present in the child replica
* In the public-facing geodatabase, the data owner adds the same attribute field and field type
* The data owner synchronizes the replicas again, and the values are not replicated in the child replica How should the data owner resolve this issue?
- A. Unregister the replica pairs, recreate the replica, and Synchronize Changes
- B. Unregister the replica pairs, run Feature Compare and Synchronize Changes
- C. Unregister the replica pair?, run Enable Replica Tracking and Synchronize Change?
Answer: A
Explanation:
Scenario Overview:
* A one-way replica from parent to child geodatabase is created for a single feature class.
* The data owner adds anew attribute fieldin the parent geodatabase, calculates values, and attempts to synchronize the replica.
* The new field and its values do not appear in the child replica, even after manually adding the field to the child geodatabase.
Why Recreate the Replica?
* The issue arises becauseschema changes(e.g., adding new fields) are not automatically propagated in one-way replication workflows. Synchronization only applies to data changes, not schema updates.
* To ensure the schema changes are recognized, thereplica pair must be recreatedwith the updated schema.(ArcGIS Documentation: Geodatabase Replication and Schema Changes) Steps to Resolve the Issue:
* Unregister the Replica:Remove the existing replica pair from both the parent and child geodatabases.
* Recreate the Replica:Create a new one-way replica between the parent and child geodatabases. This new replica will include the updated schema.
* Synchronize Changes:Perform synchronization to transfer data, including the new field and calculated values, to the child geodatabase.
Alternative Options:
* Option A:Enabling replica tracking does not address schema synchronization and would not resolve the issue.
* Option B:Running Feature Compare is helpful for analyzing schema differences but does not propagate schema changes.
Thus, the data owner mustunregister the replica pairs, recreate the replica with the updated schema, and synchronize changesto resolve the issue.
NEW QUESTION # 30
A GIS data manager needs to allow editors to see changes made to the default version in their child versions without reconciling.
How should the GIS data manager register the dataset?
- A. Traditional versioned with archiving and editor tracking enabled
- B. Traditional versioned with the option to move edits to base
- C. Branch versioned with global IDs and editor tracking enabled
Answer: B
Explanation:
To allow editors to see changes made to the default version in their child versions without reconciling, the dataset must be registered astraditional versioned with the option to move edits to base.
1. How This Versioning Method Works
* When registering data astraditional versioned with the option to move edits to base, changes made in the default version are immediately visible to all child versions without requiring reconciliation.
* This method directly updates the base table for default version edits, bypassing the delta tables used in standard traditional versioning workflows.
2. Why Use This Method?
* Immediate Visibility: Editors can see default version updates in their child versions without the need for reconciliation or posting.
* Simplified Workflow: Reduces the overhead of managing version reconciliation and posting for users who only need to view updates.
3. Why Not Other Options?
* Branch Versioned with Global IDs and Editor Tracking Enabled:
* Branch versioning is designed for feature services and web-based editing workflows. It does not allow direct visibility of default version changes in child versions.
* Traditional Versioned with Archiving and Editor Tracking Enabled:
* This method tracks historical changes but does not allow child versions to see updates in the default version without reconciliation.
Steps to Register Data with Move Edits to Base Option:
* InArcGIS Pro, right-click the dataset or feature class and selectManage > Register as Versioned.
* Check the option"Move edits to base"during registration.
* Save the changes and verify that editors can view default version changes without reconciliation.
References from Esri Documentation and Learning Resources:
* Traditional Versioning with Move Edits to Base
* Versioning Options in Enterprise Geodatabases
Conclusion:
Registering the dataset astraditional versioned with the option to move edits to baseensures that editors can see changes made to the default version in their child versions without requiring reconciliation.
NEW QUESTION # 31
A GIS administrator receives reports of slowing performance across the entire geodatabase. Users report that the time for edits to be made and drawing are affected when adding 10.000 records. Traditional versioning is being used.
The following processes are completed weekly:
* Rebuilding of indexes and statistics
* Geodatabase compress
* Remove orphaned connections
Which action should be taken?
- A. Reconcile and post versions
- B. Update records via Python
- C. Change to use Default version
Answer: A
Explanation:
Scenario Overview:
* Users experienceslowing performanceacross the geodatabase, particularly for edits and drawing when adding 10,000 records.
* The organization performs weekly maintenance tasks:
* Rebuilding indexes and statistics
* Compressing the geodatabase
* Removing orphaned connections
Why Reconcile and Post Versions?
* Slow performance in traditional versioning often results from excessive unreconciled versions and a bloatedstate tree.
* Reconciling and posting versions reduces the number of states, enabling geodatabase compression to fully collapse redundant states and improve performance.(ArcGIS Documentation: Reconcile and Post) Alternative Options:
* Option A: Change to use Default version
* This bypasses versioning workflows and does not address the root cause of performance degradation.
* Option B: Update records via Python
* Using Python to update records does not resolve issues caused by unreconciled versions or state tree inefficiencies.
Thus, the correct action is toreconcile and post versions, ensuring the geodatabase state tree is optimized and performance is restored.
NEW QUESTION # 32
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?
- A. Contingent values
- B. Subtypes with domains
- C. Domains
Answer: A
Explanation:
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.
NEW QUESTION # 33
A GIS administrator is investigating reports of slow performance in a map of complex polygons. The investigation finds the following:
* The feature class is in an enterprise geodatabase
* This data has been published as a map service in ArcGIS Enterprise
* The feature class is not versioned
* The map seems to perform slowly at several zoomed-out extents in the map
* Queries on the attributes perform quickly
Which recommendation should the GIS administrator make?
- A. Compress the enterprise geodatabase
- B. Show cached data for the zoomed extents
- C. Run the Analyze Datasets tool
Answer: B
Explanation:
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.
References from Esri Documentation and Learning Resources:
* Map Caching in ArcGIS Enterprise
* Best Practices for Map Services
Conclusion:
The GIS administrator should recommend enablingcached data for the zoomed extentsto significantly improve map performance.
NEW QUESTION # 34
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