EGMP2201 Clearer Explanation & Reliable EGMP2201 Exam Labs
EGMP2201 Clearer Explanation & Reliable EGMP2201 Exam Labs
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The EGMP2201 Exam covers a wide range of topics related to geospatial data management, including data modeling, data quality, data integration, and enterprise data governance. EGMP2201 exam is intended for professionals who have experience working with geospatial data in an enterprise environment and who are looking to demonstrate their expertise in this field. Successful completion of the EGMP2201 exam is a valuable credential that can help professionals advance their careers and demonstrate their commitment to excellence in geospatial data management.
To be eligible for the exam, candidates are required to have a strong foundation in GIS concepts and experience in managing geospatial data in an enterprise setting. Esri offers training courses that can help candidates prepare for the exam, including courses on geodatabase design, data management, and enterprise GIS architecture.
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Use this EGMP2201 practice material to ensure your exam preparation is successful. Mock exams at NewPassLeader are available in EGMP2201 desktop software and web-based format. Both Esri EGMP2201 self-assessment exams have similar features. They create an Esri EGMP2201 actual test-like scenario, point out your mistakes, and offer customizable sessions.
Esri EGMP2201 Certification is a professional certification offered by Esri, the global leader in GIS technology. Enterprise Geodata Management Professional 2201 certification is designed for professionals who specialize in enterprise geodata management. Enterprise Geodata Management Professional 2201 certification is a validation of skills and knowledge in the management of geospatial data in an enterprise environment.
Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q57-Q62):
NEW QUESTION # 57
A GIS administrator is getting reports from users that they are unable to edit data within a traditionally versioned feature dataset. A feature class was added to a feature dataset during a maintenance window. The following troubleshooting steps were performed but do not correct the behavior:
* Checked permissions on feature dataset
* Checked connection file for versioning type
* Rebuilt indexes and statistics
What should the administrator do?
- A. Re-register the feature dataset as versioned
- B. Unregister the feature dataset as versioned
- C. Connect as data owner and edit data
Answer: A
Explanation:
When users cannot edit a traditionally versioned feature dataset after a new feature class is added, the feature dataset must bere-registered as versioned.
1. Why Re-Register as Versioned?
* Adding a feature class to a versioned feature dataset requires re-registering the entire feature dataset for versioning.
* This step ensures that the new feature class is included in the versioning system and can participate in versioned workflows.
2. Why Other Steps Didn't Resolve the Issue?
* Checked Permissions: Correct permissions do not address the need to re-register after adding a feature class.
* Checked Connection File: Ensuring the connection file uses traditional versioning does not resolve missing registration.
* Rebuilt Indexes and Statistics: While this improves performance, it does not affect versioning.
3. Why Not Other Options?
* Connect as Data Owner and Edit Data:
* Even as the data owner, edits would not be possible until the feature dataset is re-registered.
* Unregister the Feature Dataset as Versioned:
* Unregistering would delete the versioning information, potentially causing data loss in the delta tables.
Steps to Re-Register the Feature Dataset as Versioned:
* OpenArcGIS Proand connect as the data owner.
* Right-click the feature dataset and selectManage > Register As Versioned.
* Choose the option toPreserve edits to base tables(if required).
* Save and test edits on the feature dataset.
References from Esri Documentation and Learning Resources:
* Registering Data as Versioned
* Managing Versioned Feature Datasets
Conclusion:
The administrator shouldre-register the feature dataset as versionedto include the newly added feature class and resolve editing issues in the traditionally versioned environment.
NEW QUESTION # 58
A government organization needs to identify which user was responsible for creating each feature in a global enterprise geodatabase.
Which geodatabase strategy should the GIS administrator use?
- A. Enable editor tracking
- B. Add a global ID
- C. Use relationship classes
Answer: A
Explanation:
To identify which user was responsible for creating each feature in a global enterprise geodatabase, enabling editor trackingis the appropriate strategy.
1. What is Editor Tracking?
* Editor tracking records metadata about feature creation and updates, including:
* Whocreated or updated a feature.
* Whenthe feature was created or updated.
* This information is stored in four additional fields:
* Creator
* Creation Date
* Editor
* Edit Date
2. Advantages of Editor Tracking
* Automatically tracks and populates user and timestamp fields for feature edits.
* Requires no manual intervention by users, ensuring accuracy and consistency.
* Works seamlessly in multi-user environments, including enterprise geodatabases.
3. Why Not Other Options?
* Add a Global ID:
* Global IDs are used to uniquely identify features but do not track user edits or changes.
* Use Relationship Classes:
* Relationship classes establish connections between features or tables. They are not designed to record user actions or metadata.
Steps to Enable Editor Tracking:
* OpenArcGIS Proand connect to the enterprise geodatabase.
* Right-click the feature class or dataset and selectManage > Enable Editor Tracking.
* Specify the fields for storing creator, editor, creation date, and edit date.
* Save and apply the changes.
References from Esri Documentation and Learning Resources:
* Editor Tracking-ArcGIS Pro Documentation
* Tracking Edits in Enterprise Geodatabases
Conclusion:
Enabling editor trackingis the most effective strategy to identify which user created each feature in a global enterprise geodatabase.
NEW QUESTION # 59
After running a Compress, the GIS administrator needs to check if the Adds and Deletes tables for Buildings are empty before unregistering as versioned.
What should be referenced by the GIS administrator?
- A. sdejayers
- B. table_registry
- C. gdbjtems
Answer: A
Explanation:
To determine if theAddsandDeletestables for the "Buildings" dataset are empty before unregistering as versioned, the GIS administrator needs to reference thesde_layerstable.
1. Purpose of the sde_layers Table
* Thesde_layerstable 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 theObjectIDof the Buildings dataset in thesde_layerstable.
* 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.
References from Esri Documentation and Learning Resources:
* Compressing a Geodatabase-ArcGIS Pro Documentation
* Delta Tables in Versioned Geodatabases
Conclusion:
The GIS administrator must query thesde_layerstable to verify the Adds and Deletes tables before unregistering the dataset as versioned.
NEW QUESTION # 60
A GIS administrator learns that geodatabase users report decreasing performance when adding data from child versions to their map.
* The organization uses a complex traditional version tree architecture
* Python script completes batch-reconcile/post operations, compresses the geodatabase, and data owners rebuild indexes and update statistics
* Python script runs overnight with little to no geodatabase connections being made Which Analyze Datasets parameter should be checked?
- A. Analyze Archive Tables For Selected Datasets
- B. Analyze Base Tables For Selected Datasets
- C. Include System Tables
Answer: B
Explanation:
When users experience performance issues while adding data from child versions in a complex traditional version tree, it often indicates problems with thebase tables. TheAnalyze Base Tables For Selected Datasets parameter is the most relevant in this case.
1. Role of Base Tables in Traditional Versioning
* In traditional versioning, thebase tablestores the original data for the feature class or table. Changes made in child versions are tracked in delta tables (Adds and Deletes).
* If the base table is not optimized (e.g., outdated statistics, fragmented indexes), performance can degrade when querying or rendering data.
2. Why Analyze Base Tables?
* TheAnalyze Base Tables For Selected Datasetsparameter evaluates and updates the database statistics for the base tables to improve query optimization.
* This process ensures the database query optimizer can make efficient decisions when retrieving data.
3. Why Not Other Options?
* Include System Tables:
* This analyzes geodatabase system tables, which are crucial for administrative tasks but unrelated to performance issues with user datasets.
* Analyze Archive Tables For Selected Datasets:
* This is specific to datasets with archiving enabled. There is no mention of archiving being used in this scenario.
Steps to Analyze Base Tables:
* OpenArcGIS Proor use a Python script with theAnalyze Datasetstool.
* Specify the datasets with performance issues.
* Select theAnalyze Base Tables For Selected Datasetsparameter.
* Run the tool and monitor the updated statistics.
References from Esri Documentation and Learning Resources:
* Analyze Datasets Tool
* Improving Query Performance
Conclusion:
TheAnalyze Base Tables For Selected Datasetsparameter should be used to update statistics and improve performance when adding data from child versions in traditional versioning.
NEW QUESTION # 61
An organization has a requirement to allow editing of feature classes in mobile and web apps. A database administrator will need to add indexes to feature classes to improve performance on common queries.
Where should these feature classes be stored?
- A. Enterprise geodatabase
- B. File geodatabase
- C. Mobile geodatabase
Answer: A
Explanation:
Understanding the Scenario:
* The organization requires feature classes to beeditable in mobile and web apps.
* Performance optimization through indexing is also needed for common queries.
Feature Class Storage Options:
* Enterprise Geodatabase:
* Supports multiuser environments, making it suitable for mobile and web app editing.
* Allows indexing at the database level, which improves query performance for large datasets.
* Provides robust versioning, replication, and sync capabilities for mobile workflows.
* File Geodatabase:
* Supports single-user access and lacks enterprise-grade indexing and multiuser editing capabilities.
* Does not meet the requirements for web and mobile app editing.
* Mobile Geodatabase:
* Optimized for mobile apps but does not support the enterprise-level indexing and multiuser workflows required for this scenario.
Steps for Storing and Optimizing Feature Classes:
* Store the feature classes in an enterprise geodatabase.
* Create indexes on frequently queried columns to optimize performance for mobile and web app queries.
* Use tools likeArcGIS Proto publish feature services for mobile and web app editing.
References:
* Esri Documentation: Enterprise Geodatabases Overview.
* Indexing for Performance Optimization: Guidelines for improving query performance in enterprise environments.
Why the Correct Answer is A:Enterprise geodatabases are the only storage option that supports multiuser editing in mobile and web apps and provides advanced indexing capabilities. File and mobile geodatabases lack the necessary functionality for this use case.
NEW QUESTION # 62
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